{"id":21977,"date":"2025-12-22T19:29:21","date_gmt":"2025-12-22T19:29:21","guid":{"rendered":"https:\/\/icert.org.in\/?p=21977"},"modified":"2026-02-27T23:44:26","modified_gmt":"2026-02-27T18:14:26","slug":"visual-vs-conceptual-understanding-addressing-misconceptions-through-molecular-modeling-in-inorganic-chemistry","status":"publish","type":"post","link":"https:\/\/icert.org.in\/index.php\/2025\/12\/22\/visual-vs-conceptual-understanding-addressing-misconceptions-through-molecular-modeling-in-inorganic-chemistry\/","title":{"rendered":"Visual vs Conceptual Understanding: Addressing Misconceptions Through Molecular Modeling in Inorganic Chemistry"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"21977\" class=\"elementor elementor-21977\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9a8abed elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9a8abed\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e935d05\" data-id=\"e935d05\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f19c2c4 elementor-widget elementor-widget-heading\" data-id=\"f19c2c4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Edumania-An International Multidisciplinary Journal<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2e08c12 elementor-widget elementor-widget-heading\" data-id=\"2e08c12\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Vol-03, Issue-4 (Oct - Dec 2025)<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-621fca2 elementor-widget elementor-widget-heading\" data-id=\"621fca2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">An International scholarly\/ academic journal, peer-reviewed\/ refereed journal, ISSN : 2960-0006<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9d57318 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9d57318\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-46d0852\" data-id=\"46d0852\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f41bfc7 elementor-widget elementor-widget-heading\" data-id=\"f41bfc7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Visual vs Conceptual Understanding: Addressing Misconceptions Through Molecular Modeling in Inorganic Chemistry<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12a4a80 elementor-widget elementor-widget-text-editor\" data-id=\"12a4a80\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, Sandeep<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"background-color: transparent; color: #000000; font-family: Arial, sans-serif; font-size: 12pt; white-space-collapse: preserve;\">Professor of Chemistry, and \u2018by courtesy of Psychology\u2019, School of Applied and Behavioral Sciences, <\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"background-color: transparent; color: #000000; font-family: Arial, sans-serif; font-size: 12pt; white-space-collapse: preserve;\">NIILM University, Kaithal, Haryana<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-bce08b7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bce08b7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1ee66dc\" data-id=\"1ee66dc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5ae2c7f elementor-widget__width-inherit elementor-widget elementor-widget-elementskit-simple-tab\" data-id=\"5ae2c7f\" data-element_type=\"widget\" data-widget_type=\"elementskit-simple-tab.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >        <div class=\"elementkit-tab-wraper vertical  elementskit-fitcontent-tab \">\n            <ul class=\"nav nav-tabs elementkit-tab-nav \">\n                                    <li class=\"elementkit-nav-item elementor-repeater-item-ca158ed\">\n                        <a class=\"elementkit-nav-link  active show left-pos\" id=\"content-ca158ed69d9019e2721d-tab\" data-ekit-handler-id=\"abstract\" data-ekit-toggle=\"tab\" data-target=\"#content-ca158ed69d9019e2721d\" href=\"#Content-ca158ed69d9019e2721d\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-ca158ed69d9019e2721d\">\n                            <span class=\"far fa-file-alt elementskit-tab-icon\"><\/span>                            <span class=\"elementskit-tab-title\"> Abstract<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-73d9415\">\n                        <a class=\"elementkit-nav-link  left-pos\" id=\"content-73d941569d9019e2721d-tab\" data-ekit-handler-id=\"about-author\" data-ekit-toggle=\"tab\" data-target=\"#content-73d941569d9019e2721d\" href=\"#Content-73d941569d9019e2721d\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-73d941569d9019e2721d\">\n                            <span class=\"far fa-user elementskit-tab-icon\"><\/span>                            <span class=\"elementskit-tab-title\"> About Author<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-e351830\">\n                        <a class=\"elementkit-nav-link  left-pos\" id=\"content-e35183069d9019e2721d-tab\" data-ekit-handler-id=\"impact-statement\" data-ekit-toggle=\"tab\" data-target=\"#content-e35183069d9019e2721d\" href=\"#Content-e35183069d9019e2721d\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-e35183069d9019e2721d\">\n                            <span class=\"fas fa-file-import elementskit-tab-icon\"><\/span>                            <span class=\"elementskit-tab-title\"> Impact Statement<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-bb8dae5\">\n                        <a class=\"elementkit-nav-link  left-pos\" id=\"content-bb8dae569d9019e2721d-tab\" data-ekit-handler-id=\"cite-this-article\" data-ekit-toggle=\"tab\" data-target=\"#content-bb8dae569d9019e2721d\" href=\"#Content-bb8dae569d9019e2721d\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-bb8dae569d9019e2721d\">\n                            <span class=\"far fa-address-card elementskit-tab-icon\"><\/span>                            <span class=\"elementskit-tab-title\"> Cite this Article<\/span>\n                        <\/a>\n                    <\/li>\n                                <\/ul>\n\n            <div class=\"tab-content elementkit-tab-content\">\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-ca158ed  active show\" id=\"content-ca158ed69d9019e2721d\" role=\"tabpanel\"\n                         aria-labelledby=\"content-ca158ed69d9019e2721d-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Abstract<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Understanding inorganic chemistry presents a dual challenge: mastering both abstract concepts and their visual-spatial representations. Students often struggle with misconceptions rooted in either or both of these areas. This study explores the effectiveness of molecular modeling tools in improving both visual and conceptual understanding in inorganic chemistry. Utilising a mixed-methods approach that involves diagnostic tests, intervention via 3D modelling software, and interviews, the study compares traditional lecture-based instruction with modelling-enhanced pedagogy. Results indicate significant improvement in students&#8217; conceptual clarity and reduction in persistent misconceptions. The findings suggest that integrating molecular visualisation with conceptual teaching strategies can bridge the gap in students&#8217; understanding, particularly in complex topics like coordination compounds and molecular geometry.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Keywords:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Inorganic chemistry, misconceptions, molecular modeling, visual understanding, conceptual understanding, coordination compounds, pedagogy.<\/span><\/p>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-73d9415 \" id=\"content-73d941569d9019e2721d\" role=\"tabpanel\"\n                         aria-labelledby=\"content-73d941569d9019e2721d-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p style=\"text-align: center;\"><strong> About Author<\/strong><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; background-color: #ffffff; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Dr Sandeep Kumar<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> is working as Professor of Chemistry and \u2018by courtesy of psychology\u2019 NIILM University Kaithal Haryana, and have more than two decades experience in teaching, research, curriculum development, counselling and leadership. His areas of interest are chemical education, research, behavioural science, teacher education and practices. As resource person, he has conducted more than 225 training programs for the school and higher education teachers. He has been awarded with numerous prestigious National and International Awards. He has participated and presented research articles in more than 200 National and International conferences. He has been invited as keynote speaker, guest of honour, conference chair, and resources person in various National and International Conferences. He is associated with various National and International Organizations.\u00a0<\/span><\/p>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-e351830 \" id=\"content-e35183069d9019e2721d\" role=\"tabpanel\"\n                         aria-labelledby=\"content-e35183069d9019e2721d-tab\">\n                        <div class=\"animated fadeIn\">\n                                                    <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-bb8dae5 \" id=\"content-bb8dae569d9019e2721d\" role=\"tabpanel\"\n                         aria-labelledby=\"content-bb8dae569d9019e2721d-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Citation<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">APA (7th Edition)<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2025). Visual vs conceptual understanding: Addressing misconceptions through molecular modeling in inorganic chemistry. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Edumania-An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">3<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(4), 248\u2013264. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.59231\/edumania\/9172\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0563c1; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.59231\/edumania\/9172<\/span><\/a><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">MLA (9th Edition)<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, Sandeep. &#8220;Visual vs Conceptual Understanding: Addressing Misconceptions Through Molecular Modeling in Inorganic Chemistry.&#8221; <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Edumania-An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, vol. 3, no. 4, 2025, pp. 248\u201364, doi:10.59231\/edumania\/9172.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chicago (17th Edition)<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, Sandeep. &#8220;Visual vs Conceptual Understanding: Addressing Misconceptions Through Molecular Modeling in Inorganic Chemistry.&#8221; <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Edumania-An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> 3, no. 4 (2025): 248\u201364. doi:10.59231\/edumania\/9172.<\/span><\/p>                        <\/div>\n                    <\/div>\n                                \n            <\/div>\n                    <\/div>\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7f68f9b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7f68f9b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-cd66632\" data-id=\"cd66632\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5d616ce elementor-align-justify elementor-mobile-align-left elementor-widget-tablet__width-initial elementor-widget elementor-widget-button\" data-id=\"5d616ce\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a 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Downloads<\/span><\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-408d3bc elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"408d3bc\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e56cea7\" data-id=\"e56cea7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-24af6cf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"24af6cf\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-e911214\" data-id=\"e911214\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f941676 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"f941676\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">DOI: <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.59231\/edumania\/9172\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0563c1; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.59231\/edumania\/9172<\/span><\/a><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Page Numbers: 248\u2013264\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Subject: Chemistry Education \/ Pedagogy <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-e1c5ba6\" data-id=\"e1c5ba6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a5f80c7 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"a5f80c7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Received: Aug 20, 2025\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Accepted: Sep 22, 2025\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Published: Oct 20, 2025 <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea3aee0 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"ea3aee0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Thematic Classification: Inorganic Chemistry, Molecular Modeling, Visual vs. Conceptual Understanding, Coordination Compounds, 3D Modeling Pedagogy.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c41ee86 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c41ee86\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1c5fc25\" data-id=\"1c5fc25\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c65262e elementor-widget elementor-widget-heading\" data-id=\"c65262e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Introduction and Background: <\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e886a6 elementor-widget elementor-widget-text-editor\" data-id=\"9e886a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Inorganic chemistry encompasses a wide array of topics, ranging from coordination compounds and transition metal chemistry to crystal field theory and molecular symmetry. Unlike organic chemistry, which benefits from relatively well-defined visual conventions (e.g., line-bond structures), inorganic chemistry often challenges students with abstract and spatially complex topics. This dichotomy between abstract understanding and visual-spatial representation creates fertile ground for student misconceptions, particularly at the secondary and undergraduate levels (Bodner, 1991).<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Historically, misconceptions in chemistry have been well documented. Research by Nakhleh (1992) and Taber (2002) identifies common misunderstandings in basic chemical bonding, orbital theory, and electron configuration. In inorganic chemistry, misconceptions are often more deeply rooted due to the complexity of polyatomic structures and non-intuitive concepts like ligand field stabilisation energy or oxidation states. Students may memorise rules without truly grasping the underlying principles, leading to superficial understanding that is easily disrupted by new or complex scenarios.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A central challenge in addressing these misconceptions is the inherent abstractness of many inorganic topics. For example, the octahedral geometry of coordination compounds may be taught through two-dimensional diagrams, but students often fail to grasp the three-dimensional arrangement of ligands. Similarly, concepts like isomerism in coordination complexes are difficult to visualize without physical or digital aids. As a result, students frequently rely on rote learning rather than conceptual engagement (Tsaparlis, 1997).<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Molecular modeling tools, including physical kits and digital platforms (such as Avogadro, ChemSketch, and Jmol), offer potential solutions. These tools provide dynamic, manipulable representations of molecules, helping students visualize structures, electron distributions, and geometrical relationships. Research has shown that such tools can enhance spatial reasoning and conceptual understanding (Wu &amp; Shah, 2004).<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">However, integrating molecular modeling into traditional teaching is not without challenges. Instructors may lack training or time to implement these tools effectively. Furthermore, not all molecular modeling platforms are intuitive for students, particularly those with limited computer literacy. There is also debate over whether modeling tools improve true conceptual understanding or simply aid in short-term performance (Tasker &amp; Dalton, 2006).<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Nonetheless, the importance of visual literacy in chemistry education cannot be overstated. Gilbert (2008) emphasised the triadic nature of chemistry understanding: macroscopic (observable phenomena), sub-microscopic (molecular level), and symbolic (equations and formulas). Misconceptions often arise from the disconnect among these levels. Molecular modeling helps bridge these gaps by providing a sub-microscopic view that is often missing from traditional instruction.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This research seeks to evaluate the role of molecular modeling in addressing both visual and conceptual misconceptions in inorganic chemistry. Specifically, it compares the outcomes of students exposed to modeling tools versus those taught through conventional methods. The focus is on key inorganic topics known for high rates of misconception, such as coordination chemistry, molecular geometry, and isomerism. Through a combination of diagnostic testing, intervention, and qualitative feedback, this study aims to provide empirical evidence for the pedagogical value of molecular modeling.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Problem Statement:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Despite efforts to improve chemistry education, misconceptions in inorganic chemistry continue. These issues often arise from the abstract and complex nature of the content. Traditional teaching methods often do not adequately help students visualize and understand inorganic molecular structures. We need to explore whether molecular modeling can effectively reduce these misconceptions and improve learning outcomes.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Objectives:<\/span><\/p><ol style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To identify common misconceptions in inorganic chemistry related to molecular geometry and coordination compounds.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To evaluate the effectiveness of molecular modeling tools in improving students\u2019 visual and conceptual understanding.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To compare the learning outcomes of students taught with and without molecular modeling interventions.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To analyze qualitative feedback from students regarding their learning experiences with molecular modeling.<\/span><\/p><\/li><\/ol><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Hypothesis:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">H<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><span style=\"font-size: 0.6em; vertical-align: sub;\">1<\/span><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: Students who receive instruction supplemented with molecular modeling tools will demonstrate significantly greater improvement in conceptual and visual understanding of inorganic chemistry compared to those taught through traditional methods.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">H<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><span style=\"font-size: 0.6em; vertical-align: sub;\">0<\/span><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: There will be no significant difference in conceptual and visual understanding between students taught with molecular modeling tools and those taught through traditional methods.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Research Gap:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Existing literature has thoroughly documented student misunderstandings in chemistry and the benefits of visualization tools. However, there is limited research that systematically compares how molecular modeling affects both visual and conceptual understanding in inorganic chemistry. Most past studies have concentrated on general chemistry or organic chemistry. This research aims to fill this gap by focusing on inorganic chemistry at the undergraduate level and using a mixed-method approach to analyze the results.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Literature Review:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The literature on misconceptions in chemistry highlights common challenges that students face when trying to understand abstract scientific ideas. Nakhleh (1992) notes that these misconceptions often come from prior knowledge that conflicts with scientific principles. In inorganic chemistry, the problem worsens because of the complexity of the topics and the lack of clear visual representations.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Taber (2002) explains that students frequently misunderstand basic bonding theories, like ionic versus covalent bonding. In inorganic chemistry, these misconceptions also appear in coordination chemistry, where students struggle to grasp the nature of metal-ligand interactions. For instance, students often misinterpret coordination numbers or wrongly predict molecular shapes, assuming that three-dimensional structures are linear or planar.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Research by Coll and Treagust (2003) points out the shortcomings of traditional teaching methods in fostering meaningful learning. They argue that effective science teaching should consider students\u2019 prior beliefs and create chances for conceptual change. One promising approach is to use visual aids and molecular modeling tools.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Gilbert (2008) and Wu &amp; Shah (2004) stressed the importance of visual literacy in science education. Gilbert suggested that chemistry understanding has three levels: macroscopic, submicroscopic, and symbolic. Misconceptions arise when students cannot connect these levels. Molecular modeling, particularly with digital tools, helps link symbolic representations to molecular structures.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The rise of digital molecular visualization platforms like Jmol, Avogadro, and ChemSketch allows educators to dynamically present molecular structures. Wu and Shah (2004) showed that students using animated molecular models experienced greater learning gains than those relying on static pictures. These tools let users manipulate molecular designs, view atomic orbitals, and simulate interactions in real time, improving both spatial and conceptual understanding.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Tasker and Dalton (2006) examined the cognitive load of using animations and modeling tools. They found that although these resources can initially add to cognitive demands, they ultimately help deepen understanding by making unseen phenomena visible. However, they warn that such tools must be used carefully in curricula to avoid shallow engagement.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Research by Sanger and Greenbowe (2000) and Bretz (2001) found that modeling helps uncover and correct misconceptions. Sanger discovered that students who used molecular kits gained a better understanding of molecular geometry, polarity, and intermolecular forces. Bretz emphasized that modeling encourages active engagement, which is vital for meaningful learning.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">In inorganic chemistry, Tsaparlis (1997) specifically studied coordination compounds and found that students often confuse geometric and optical isomers or misunderstand the hybridization of central metal atoms. He suggested that hands-on molecular modeling could help clarify these issues by providing visual-spatial feedback.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">More recent studies by Williamson and Abraham (2015) looked at student outcomes in hybrid courses that used interactive modeling software. They reported that students using these tools performed better on conceptual tests and spatial reasoning tasks. Additionally, students reported feeling more confident in visualizing molecular structures.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar (2024) conducted a study with conceptual change texts and found significant improvement in misconceptions related to chemical bonding. This confirmed the effectiveness of conceptual strategies in enhancing understanding. Kumar also explored the impact of art-integrated concept cartoons on students\u2019 understanding of chemical bonding and noted their effectiveness in reshaping misconceptions. In another work, Kumar presented a thematic analysis of common misconceptions in chemical education and recommended practical teaching strategies. Furthermore, Kumar illustrated how AI tutoring systems can strengthen conceptual understanding in chemistry through adaptive and interactive learning experiences.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Despite these encouraging findings, there are few studies comparing traditional teaching methods with modeling-enhanced approaches in inorganic chemistry. This gap is significant, especially given the focus on STEM education reform and digital learning. Addressing this gap is vital for identifying best practices for teaching complex topics in chemistry.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Overall, the literature indicates that molecular modeling can effectively tackle visual and conceptual challenges in chemistry education. However, there is still limited empirical evidence regarding its specific effectiveness in inorganic chemistry and across various student groups. This study aims to fill that gap through a mixed-method investigation.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Research Methodology:<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Research Design<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This study adopts a quasi-experimental mixed-methods design combining quantitative and qualitative approaches. Two groups of undergraduate students enrolled in an introductory inorganic chemistry course were selected: a control group taught using traditional lecture methods, and an experimental group taught using molecular modeling tools alongside lectures. The study was conducted over a 6-week instructional period focusing on key topics including coordination chemistry, molecular geometry, and isomerism.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Participants and Sampling<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A purposive sampling strategy was used to select 60 students from a public university in northern India. The participants were divided into two equal groups:<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Control Group (n=30): Received conventional chalk-and-talk instruction.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Experimental Group (n=30): Received instruction supplemented with digital molecular modeling using tools like Avogadro and Jmol.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The groups were matched in terms of academic performance based on their previous semester grades to ensure homogeneity.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Data Collection Instruments<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">1. Diagnostic Test: A 20-item multiple-choice and short-answer test designed to identify misconceptions in molecular geometry, bonding, and coordination chemistry. The test was validated by subject experts and piloted for reliability (Cronbach\u2019s \u03b1 = 0.82). The detailed test is provided in Appendix A<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2. Intervention Module: The experimental group used molecular modeling software in structured activities designed to correct misconceptions.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">3. Post-Test: A parallel version of the diagnostic test is administered after the intervention. The detailed test is provided in Appendix B<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">4. Semi-Structured Interviews: Conducted with 10 randomly selected students from both groups to gain insights into their conceptual understanding and learning experience. The detailed questions are provided in Appendix C<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Data Analysis<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Quantitative data (pre- and post-test scores) were analyzed using:<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">&#8211; Descriptive statistics (mean, standard deviation, gain scores)<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">&#8211; Inferential statistics (paired sample t-test and ANCOVA)<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Qualitative interview data were analyzed using thematic coding, enabling identification of patterns related to students\u2019 conceptual shifts and visual-spatial reasoning.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Results and Findings<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Table 1: Descriptive Statistics of Pre-Test and Post-Test Scores<\/span><\/p><div dir=\"ltr\" style=\"margin-left: 0pt;\" align=\"center\"><table style=\"border: none; border-collapse: collapse;\"><colgroup> <col width=\"126\" \/> <col width=\"30\" \/> <col width=\"90\" \/> <col width=\"75\" \/> <col width=\"93\" \/> <col width=\"80\" \/> <col width=\"129\" \/><\/colgroup><tbody><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Group<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">N<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Pre-Test Mean<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Pre-Test SD<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Post-Test Mean<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Post-Test SD<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Gain Score (Mean \u00b1 SD)<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Control Group<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">30<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">11.3<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2.1<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">13.1<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2.3<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">1.8 \u00b1 1.1<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Experimental Group<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">30<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">11.6<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2.0<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">16.8<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2.5<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">5.2 \u00b1 1.3<\/span><\/p><\/td><\/tr><\/tbody><\/table><\/div><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Explanation:<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">N: Number of students in each group<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Pre-Test Mean\/SD: Measures initial understanding before the intervention<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Post-Test Mean\/SD: Reflects conceptual gain after intervention<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Gain Score: Difference between post-test and pre-test, indicating learning improvement<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The experimental group showed a much higher average gain in scores compared to the control group, indicating the effectiveness of molecular modeling tools.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Paired Sample t-Test<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To assess the effectiveness of the intervention, a paired sample t-test was conducted on both the control and experimental groups. This statistical test compares the means of two related groups (pre-test and post-test scores) to determine whether the average difference is statistically significant.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Control Group<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">t<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> (29) = 2.17, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">p<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> &lt; 0.05<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The control group showed a modest but statistically significant improvement after traditional instruction. However, the gain was relatively low.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Experimental Group<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">t<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> (29) = 9.43, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">p<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> &lt; 0.001<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The paired sample t-test confirms that while both groups improved, students who engaged with molecular modeling tools showed a substantially greater increase in conceptual understanding of inorganic chemistry. The experimental group exhibited a highly significant improvement following the molecular modeling intervention. The large t-value and extremely low p-value indicate a strong effect of the intervention on learning outcomes. This supports the hypothesis that visual tools enhance comprehension more effectively than traditional methods alone. The experimental group showed a statistically significant improvement at a higher level of confidence.<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><br \/><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">ANCOVA Results<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To further assess the effect of the molecular modeling intervention while controlling for initial differences in students&#8217; prior knowledge, an Analysis of Covariance (ANCOVA) was performed. The pre-test scores served as the covariate, and the post-test scores were used as the dependent variable. The independent variable was the instructional group (control vs. experimental).<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Assumptions Checked:<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: 'Noto Sans Symbols',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Linearit<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">y<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> between the covariate (pre-test scores) and the dependent variable (post-test scores) was confirmed through scatterplots.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Homogeneity of regression slopes was tested and found to be non-significant, suggesting no interaction between the covariate and the group variable.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Normality and homoscedasticity of residuals were within acceptable limits.<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">ANCOVA Output Summary:<\/span><\/p><div dir=\"ltr\" style=\"margin-left: 0pt;\" align=\"left\"><table style=\"border: none; border-collapse: collapse;\"><colgroup> <col width=\"251\" \/> <col width=\"86\" \/> <col width=\"34\" \/> <col width=\"86\" \/> <col width=\"71\" \/> <col width=\"95\" \/><\/colgroup><tbody><tr style=\"height: 20.1pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Source<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">SS<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Df<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">MS<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">F<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">p-value<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Pre-Test (Covariate)<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">52.34<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">1<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">52.34<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">14.61<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">&lt; 0.001<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Group (Intervention)<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">126.45<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">1<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">126.45<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">35.22<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">&lt; 0.001<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Error<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">204.55<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">57<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">3.59<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\">\u00a0<\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\">\u00a0<\/td><\/tr><tr style=\"height: 16.45pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Total<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">383.34<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">59<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\">\u00a0<\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\">\u00a0<\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\">\u00a0<\/td><\/tr><\/tbody><\/table><\/div><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Interpretation:<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The ANCOVA revealed a statistically significant effect of the intervention group on post-test scores after adjusting for pre-test performance, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">F<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> (1, 57) = 35.22, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">p<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> &lt; 0.001.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This suggests that students in the experimental group significantly outperformed those in the control group, even when accounting for their initial understanding.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The high F-ratio and low p-value confirm the effectiveness of molecular modeling tools in enhancing conceptual understanding.<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Visual Representation<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><span style=\"border: none; display: inline-block; overflow: hidden; width: 433px; height: 273px;\"><img decoding=\"async\" style=\"margin-left: 0px; margin-top: -14.783435058979792px;\" 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\" alt=\"Output image\" width=\"433\" height=\"287.78343505897976\" \/><\/span><\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Figure 1. Comparative Gain Scores Between Control and Experimental Groups<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><br \/><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><span style=\"border: none; display: inline-block; overflow: hidden; width: 227px; height: 263px;\"><img decoding=\"async\" style=\"margin-left: 0px; margin-top: -43.66301419542015px;\" 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\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Wp4McAABAASURBVP+WOV\/wghfE\/\/yf\/zN+1Q95FqnMfx6WD3rwg+IHf\/AHg\/zf5fn84he9OOWHf8vD42+9KPju7\/6eePjDHx4\/77Yf9\/jHxT3vec\/4x3\/4+xj7TQdtc9195tOfDvLzdcPjn\/CD8UrX8NznPTe+8Zu+KX7oiT8UF73\/orxGPu0F\/stf\/stxb4\/XE57wQ\/Gc5z43Hv4t3xLPf\/7z43u\/93vzGuXrPcb5v\/7rv7xIfnm80tfIFf565mOf+Hj8jq+rR3zbt8UrXvnK4E0H19yf\/umf5nX7mEc\/On7BXx++zPkZ12975LfHq10\/bxhi5ubzXF1lM91WaKDFTNdMtWTrQ2evlX2e2L6ulbt4fECrL2SDfcCn+G5GR30HcqGE9m2rkMm7k\/lXUeO8HJvVX+z0cSgP9oIh+yI6cpNjEd+98OGGwicVPkUdf9zxcY1rXCPW1g7lq3eJ6puq6MPtbns7fzXwA\/GUpzwlvuqrvip4UBPLw5pPWKeffnre9LgRf8VXfEXwieFZz3p2\/P3f\/6NvileE1wxx3LHHxUnXPCl+7Md+LC6++OL42q\/92rjggvvHl3\/ZzYKb9nc+9rHxKX8S4z5x3\/veN771277VcePg1es3+Yb6Lb6B3f\/+98+2qZ3qeNj\/+I\/\/eJx33nn5\/0ycf\/75caxfZ1500UX+GuOnfON+f9z8ZreM+97nm+P+F1wQN7nxTYIb3q\/\/+q\/na2dyyN\/7crHyaXDsO7ykEIY8Mg6g0aR6wcPWohZMfpVwY9THeY5ZWP7zP\/9zvOa1r4lX+1Pma1\/72nzz8zd\/+zf+ZH8ke3uzm90snuQHLuf8Oc95Trz7Xe+Jz37mc\/GiF\/28c4zy\/D\/ND+1jjjk2\/eWPo5\/yA\/O3fuu345P+5Mzi4Rvu\/Q1xwxveMH\/99Vd+5VfyV\/iYSzy8\/vwv\/jx4k4T8QH8n\/pQLnxLf9m2PjLPOOjt\/FuZ3fvd3cl6TnAUL9JV+QL75TW+OW9+K+XenuPGNbpTznP4USGpmkinXGb\/t8LGPfSzucY+vCf5X1Bvc4AbBr+U+5tGPzTcXd77zneMbv\/Eb4yY3uWmccPzxuWilz9TF1x1\/\/Ed\/lJ\/++c\/U7ne\/C+LHf+wn4rGP\/S773yT+7d9fHywI8KM+xuLI4fVgbP\/qL\/8qvuHe985FDWPANUefL\/JbuZNOOjnudre75SL\/2GOPjZNPvlbc\/va3j4f5DSCUvvDrjr\/rN2+8+bvLXe+ai\/5nPP2ZcZevumt86IMfiv\/jN4Ef+MAHfC6acxobNq4IoA0WNGCDYRsK8tHarBS1HR7M8h3S409+6FbsQzHzdKPmcmldpoRK17IrIaUNKAkLhd9noLSCrjQUnTDAYO+jdsNWy8vyxA9h2Twr8K\/LIJ24JfmGBOE136V+dbq2thbHHDomH7D41PAlbZEsJt65GZnkJ6nXve51cd3rXjc\/of\/cz\/5c3kRZGLAQ4DtDPt3wMwRyY9IouJnwE8M\/8iM\/EvwgIp8mfuo5PxXHn3B8fOCDH4wvfOGSWPdr4Gc84xnxbC8i+NVFPgX9gN8cPPvZz85PMdFukoIbFg\/+3\/\/934+\/+qu\/Cm7KfF\/5Vn8d8U\/\/9E9x9tlnx\/Oe97ys67nPfV7wCYsFw1ve8pb8bYe8mfMOsM1ZCIsW+EmvkZYAgUNYIsVeuu542z53TRsKPs2PPDe+67u+Kx70oAf7ofdg0wfFAx7wgHj4wx4el1\/mt0O2ywHf9q3fFre61a28sLzMn76fHG\/xeearoNOuf\/340Wc9K4477jh7NTv+nN\/jvMD9iZ\/8yWDhx0OeReNZZ50VLGJf\/epXB\/P5fe97X7zGr8rxf8hDHhIv9Kv9Rz3qUcE8fdzjHx9n+6uwf\/2Xf\/VD9t8zuaSgrROOPyEe\/ZjHxB\/+4R\/G\/\/cX\/1++dbrmNa8ZwblPz+mDpOBa4z9Ce8lLXpLz9YlPfGJc61rX8tz\/Qjz84Q+L3\/nt3825yad9Fif87IG8OA9vfGX2bC+imfe86XjJL74kHvjAB+TbBOb55Zdemotb\/q8VScFinT5d5zrXie\/9vu+N3\/BbA94EPOtZzwp07373e4L\/n+WMM8\/wuD\/EC+UHxNpoLc444\/R4sM8FvzH0YL8ZOfHEE4Pr+DgvsFlIPd5v6RifR3zrIxxz\/2BR8YGLP2CfT0bZpoeAs2ELyg4dY8OK9zp14esmhnS1vebxreXCo++j2KB9W5GxbQGjaMcQAuocyAW1fiv8UB7ukUUP3UpeYiSFtDUQvyjUc0Tuo+cyJeJbK5Br1LYhvvgWW5ELLfo+lTRzfPq+W5LlqBZJPCk5t2ujUYxsCj98ozz9kIEd7Zb3NG6WADWUmyg\/I3CPe9wj7vgVdww+geN405veNL76q786rne96+V3tZ\/2p7Hx+thtuB23xScfPl3wA1Mj9\/keX3MPLwJOyBtWjOQSxrG2thZuOuFVQRw+fJhmLSskJU8N3Awf7ten5557bupZYPDa8h3veEfwmw5f\/uVfnm8cqOvYtWPjDre7Q3ADvuyyyzInCw5+Qn2MQzSbS\/XLZ9fRttNoFz9SHSgR8H0UW59Kyn5I07TvtxOyNN2mNJFX256czuMbI\/d1FIfWjvG5OJKfQu90pzvGne54p\/jKr\/zKuMtd7hp3vONXeuF4TETIfofiFD8s+Q6chxufqHmYXfPkk+KC+18Qd7zTV4Y8b+wabPic4EXBzb7spnGfb\/rGOMYP0hP8yZqffeGtwKc+9al4p78XZyHMd+mvf\/3rg597YeHI2yJ0F118cdzoxjeO297udvGf\/sT\/ds+rEPVHjExvfatbxt3u8lVxvetex4votWYOKzybPKN8LTFHJTlElJT05JNPjm\/wK3oe\/Nj5io1r4fCRK\/012ffFSSddM7heGAON1uKwJyR+0CPmP\/3ZzwTy\/\/gf\/yM+\/KEPxgcuen98xPSaJ14jeCPHIphFDQ0yBiwCzjjjzPj2Rz4qFKM49phj4+Y3v3nc\/e5395uNz8VnPvtp122Lr02X6uLHcfiKK+PKK65wnw55\/A\/ZPooLLrggf\/bguc9\/XrBoeNc73hX\/8W+vj\/d7AcXXeJdddnlceSXX6cg5gCLcYoOY2iaWcXpMGbcplNwlDXLhocgAfgMwtGhJ1ld4\/GseGRRdTdEX1Hr4ol+GekSXcT\/wzREY+1jD4lJ7HQu\/VPDR4cxD8zjfKLlRHKm+d6R6bjSg8Ff6xsBryfKq8TI\/SJHPOOOMOOXap+SNKR+qvvmxEOB1JT\/9jE\/JQTsnnnBiPuT59CcpRmujjC1t4QNfEO024iY1mr6EeLNwi1vcIr8DxU2SPzleHnwS4mZ72mmnZW6piaOtY\/26E1\/ys7iAIgPfuvMGDn\/1w+72OMfd19UhP5xHPj8\/93M\/F\/y8yK\/\/+q\/Hrxu8rodyvtLX5TEHmFsP8qdTi8Hvs59yyinBp3ts6GrwoL39HW6fD7KS4zp+YDNnmGec\/8997nPxuc9+Ll\/JM1\/5ZMziApCXv49BO\/iuH1nPuUYuwGL3y73QJFdpV2rmWpFrSo0nnHBCzv\/Uu\/\/o4CWlXiMF83RtbS3nLu2ENx7uXEvMeX5m4hd+4RfyTQV1PvvZz863XeU3ClgISwqpAWPIWIxzdo+D656v\/8q1TBvAzeQO78hItDl4I8EPNvK2jfae+MNPjMc89jF5rj75yU+GpIzlwH0ASh5oxMQW\/c1j4LK8cOgbdkGu24bfhSa32sSGRQBDCraacD\/EMeY1lqlpszjGpmCZvMW3xEKLbqu01NqPL3po37ZdmZwF83LxkOSGyK8OfeHzXwhuMlyQk4s3QlI+VP\/qr\/8qf\/juXe96V96cuPHhxw2GGxY3M6kZMfjwxo2LG42k4KEf3ohRyFyEfMPjUw+6ko9YqbFHuw3piMHMTVHyJ0svPshx5eEr\/Qnn83njx662rdHaKEZeSBRIWIRLSA1FKHkj0BXElrdFzsOWkx\/FgTmyHnefueC8MRev79f6\/H0APo3zqZy3RpLyvIU3zg3n7053upM\/dV4ZPFBPOumk\/NU8bHbJHR4wN8mZSh\/Qseg43m8EyIPMrw4eWT+SNfCzLLwB4IcACy722wD8b33rW+fbrXJ9UDMPU+YfeZx+ob34QoGkkJSxXEfJVAepsdEW1ycx+PFzL1yLvM2gVt7M8TXHLW95S3+nf3I+VCVlbqml0dCSXvLo+7ohJ\/0p+qTy0ZB8MMsP2vKDuXylQrt8eOAtBj8jxALDLiE1+eDJCZ2Axxho8k30O8uNS\/qOaRRUUdBoljuWWOhQJPqCIfuyOkYuY+hHjVSu8FBydylX2Ys26VQbS+YfjO3lKD5j60GYJtx+sZkd3luHJI7rxw8HTWsztqico7RdVIN2\/IrDNuhUbvKQtwC5hy\/7si\/L14J89\/i+9703\/v3f\/p17XHr53pCUT\/z81P0TnvCE\/O7\/df\/0urxhciPiBnjJJZfkd7Tp3B7Q8cmJTxv4pNp1cOOVFJLhBQCNcbOQLBvp54PUyNgszt3xATiRn5slP6dA3QAbwM6NjoUJMghFSD5Eu7nTSCDvov5iYOyvScbWtx6bkqlzQCKwadTeOexdy2Wk1l2CP6N6jDl\/UY+XXRh7YKecd\/xg2lOf+tT8uoe3Tbz1+T\/\/5\/\/kwhSf4iv5rdDll8dHPvKRbhGB\/UuXfin4KkBSfvLmO3zmKGDRwW8P8KDjk\/bPv\/jn8xP2z\/7sz+ZvvvDJnxolhaTMi1wWuJL1YZiGN0k+NrukkBqgMRch79aFt7puyQbryo5NUi5seQtAm\/xBrxe96EX5cy78rAs18zblR3\/0R\/MHZeXrS1JIDciFDgrICZWaB3ctSwraCG\/ouZZZBPDbQPy8z3Oe85z4vd\/7vXxz88AHPjB\/pkGSveftPplc8MaE81VGWMG88AVtJfege2VM1u1u5R4\/mHuHlc0iwAVHDTeaHTFd9c7AJJy4tFGoVdvf3Y+SvyRbOH8VW2KgU2Njn3l5+23jy\/fjVRiqBLlBCosenKjfBjlAptjMnk5bP2TbtOEUtAnM9nbFda5z3bjFLW4V1z7lOvGGN7wxfuEXXxKvf\/1\/xCWXfCl9+WT093\/\/D8FvAHDjvPOd7xy3u\/3t0naKX8PyKezd73p3\/Pd\/\/Xd3E+bBy08S84rwRje6Uf4JVUkhNQg53JCUN3VL3S7ZYIkFhknmlBQ8uJFrSI0vNyj0kkJStsenIRY2PCD4Iy6SMhd94OcFyA9YMEgiPO3c8OwZCT+UrLSteUiZWXx3yjwHVQTnoKBSX+3YMrZQPwI8xON84HBu+PkRfgAt8fFPxH9\/7L9zgcnbJM4Nc+vlL395\/hAdPxD6Hd\/xHfHZz342eCi9z99Nd4PpgcafV\/3\/9m\/\/ln9LAhk73\/f\/y7\/8Sy4imMMsAlg08uaB+U5bfMK94x3vGF9xx6+I6\/oaoS5eh\/OWiYUkuQrIWSD5xHtHlloGoYWk7Guw2VwetIhD+Wr92mgtf4ObUoVyAAAQAElEQVSHT+AsWOgbPzfAJ3Fqpf6PfuSjwditra3luBIPJDfmMYEv7dBPeHQFkv0s0Mdix4frj+uJrxkY9zvc4Q75g5H4cN7QOywk9YB23QfgAspNVlbZN4JHW5kJ1q1ql2cWqPJZDFCpOtaVeWnSifuSYaR2v7B6ZGaN3jaqIn0XTn7QKTZniC8Y9CYfGDS2k2SOPcM2s6fTAgfygMqV2ouYfM9ebFul5CyYlYMfEuLVKr96x6vV17z6NfHMZ\/5I8PvSf\/iHf+Tv+34jnv\/858VrX\/va\/DOu\/Fof34HKlxNfI\/D68XX\/\/Lp41f9+VfAp4b3veW\/8H38qY9HATfMud7lL8JqX9rmZQGehf0OUlN9dckPjTcRf\/\/Vf59cRXK0lF5QbFl8pkFdSviKmtlygvPvd+eeO+S6T+n77t387+LsCvHLmZlbalINHjpX7FQkfFRHctGgwlt8Y+y4qc3XSPmD2Rwkeco\/2ONZGyk+W\/GYJD3ko38XzGyS85qZazjUPdPSc22f96LPiUY96VP4QIQ9vftqeRQK+AH8eXrwqZz6\/8Y1vzDnKH5ziD1Sdfvrp+WtwkuLmN7t5\/jArv6rHbwzwmwIXX3xxvO1tb4uXvfxl8ehHPzqe+9znxrs9n\/L7bp9c8gPaKkAGRZYUkoqYtLb7LpS6cpCmfYu+xPDGgR\/o4+HL2wl+I4Y6+UqAn6F45Lc\/MngTwJs4YkCdQ6EgB1RSsOEjKSRfO8efkItofjaC8fp\/\/+\/\/5Zjhw72Ca5E\/HsT1xK8DMo6MFQsPci0NOQKY7MTOQjw2y7+ZfScK20LOmYsA6gdbyDk3hJw15jpv0UinaGMr4cQRX4C8TB78iYUuE7eML7nBrJidbJ92yV+APFiHDTe58U2CT1T3uc99\/J3nqfGG\/3hD\/j2A7\/iOR8VTn\/bUeNOb3hw8+PmpehYL3IBHo1H+XvHXf93X5ycb\/igKryef\/4LnBz+oxCdw\/pgJvwd97WtfOz+V8LDmVSY3sK4Wt89Fyk0GoJcV8JLy18G48fADWo973OOCXyMjD3ZALm706IgFfLrn18j4uwI8FHhNyt8m+Imf+IngV564wfGT1dzYiSMPcTzvkfMmz4NfEZJC7qukWGrzQ2Ip\/6udczNA4yPr+ZaHtzm8fn\/+858fBc\/z4vOnf\/qng+++GR4+wfNrc3wS5o9L3fVud\/WbrOsE55Y58Md\/\/Me5AOUcRnu6WNgSy2vyZz\/72fkDhMwH\/Fmg3uMe9\/ACZC3OPufs4Cf2+VsEPNh4kL7whS9M\/z\/6oz\/KOc7cz68DNPLsaOqnLeaP1DQIT3vQYoNHB+gnbWNjAYBtff2Ir491Y+yyFZI\/GfstFDbAtUYsYG7zR7lYwLAgefKTn5y\/zsi48JUAP6T7zd\/8zYHdmfLnJrprTpG5g808uQtQuVNxs5vfLHirwKKKBcDjH\/\/4YOFMjpt+2U3jxje+cbBI4hyxCGHs+Tsj5KFv4\/W2D6F8y7duOcyHN3xMBnYX0\/oMGLesIiv3vy0n2GeBTV\/GrqqGxVXsgylRluTwoMiroOQbwiK5S1zxLfIsWvxqWvvW+j6PX1+3iEzcEEpsz8aE5SIs5m3Tkn9OItoEI38KO\/+88+JJT3pS\/orSQx\/6kOB3g\/l96Qc\/8MHxrY\/41vgRvx145Lc90ouE63HvyqxnnnGmP4l9e3z\/931\/3NlfE3z4Qx+Ot7z5zXGLm98ieAA\/\/WlP9yesm6WvfJH\/j6\/+H3HB\/e6X\/7EKr2Dpr6S8CfM74dzYWWCEt3Lj4ybEH06581d+ZZx15ln5B4ko4AR\/YqEu\/gAQbxpYKJDPd1K3FPn2gb8twIP+7ne7e\/CrjHxy4TXmd\/gVMn+tkBtmaeeGN7xh8Nfc7nLXu8SJJ5xAGjejFi5os72Md6H2Z1Fh0uyVvlHszXFeq9ykZ2Fe3JZtHpO73u1uwR+8eehDHhIPf9jDgl\/3fOhDHxrw3\/Lwh8cjvuUR+QaKE8L\/NHj9004L5slz\/Z20pDjk1963ve1t4zsf+9j8Aztv9yf3cftbLpK\/GjrppPzjVvwtf342gK+C+DkY5icLSh76TBj+kNXXfM3XxNOe+rT45vt+cxx\/3HHx2te8JniLwA8EPtb5WTDw+\/LMGeYR1wdvnHg1zxh4tni+mHO\/7vJVX5W\/d3\/erW+duaj\/Jn6A3tcLbebstU85hWYTJ598UvDg\/tZHPCJOPNFzjwenczCn+WM9D3\/Yw4MfcJQUa2ujvNYufPKF8YD73z8f9q959auDv3vBAuVR3\/6ofGux5nFhscTXYtRJ\/0ejUcjXOuD64w0gf92Trz7kSiTF+eedH4\/xW4+v+9qviy\/\/si+Pm97ED35\/pcfi42u\/5mvje7\/ne\/IPDvHAf+N\/vjH4Ac5HPvKR+UeFaJ+vVca+EHnTdu973TvIz3UWu715\/FxGdz7mNo\/vXIf9YRyVMmSmhsWV7+TvJ0VX0LcVWVJIs9H5mZFRdvgaRT9Ei988W\/HpU2KKDr6g0xXG1Hv0Ufw3oyWu+BW5T2s7E7bYi34rdF6OkXtUo\/jKjfveEDe50Y2DB+eLX\/Si4A\/\/vOB5Lwj+GMnPvPBn4r73uW\/wO9o82CZxkTeKJ3vx8NznPDeecuGF8aQfflI896d+ynhO3NY3Z\/4A0ZpGMfK8eOIP\/VC87KUvi5\/4sR+PM65\/uquJoB5u5C\/wJ0B+PYwbBjcrHkaSgl8F49P7U5\/y1HjmM54RP\/UTPxnkOtk3d\/xf\/KIXx2184yKHGDAuaIM6WTQ860d+1H352fjhJz4x+KMsP\/bsH8vXutzQaafgznf+ynjZy14aj3\/cD+SNlZso6aKtsqExd6P9IZSg2lZ0V2cqyeP9uPhlf8fPr5392itfGb\/2igav+NVXBHjlK14R59\/6vFgbrXlBefOcP7\/0iy8J5tUh6+Tzc62TTg7m38s9tzi\/a2uHmmF1\/tHaKM4+95z4cb8F4s\/18ueq+aFCfsqd+dk4NseTrnFNz\/P7BHPxmc94pufMD8fTnvKUeMHz\/HbrR3+0++pAI+UfBeJrCxavp5xySkjKB87I1Fzw56qp58EPenBc6+Rrpe1ud71bPN+5XvRzPxfn+s0Dfvife\/Y58cIX\/HTw\/1vw8wcsGLAdf+xx8Usv+aX41V\/5lTjumGMDnXw84bjj49v94P2ll7wknu5FC9fcU33t8XMR9ItraG1tLU6+1snBD+3xv3\/SZ3RNTyNOPfXUfPvH2xd8JOV1dcyhQ3Gve94rfvZnfiavZ665+19w\/zjRi+4z\/PXJd33nd3msnxNPvfAp8SyPyfOf97zg2vxxX9PPfOYz4+a3uHlIivPOPy+e9exn5TV161vfKkYjX+nWxy5schvAJHd40BfQ9ZE++\/Qw8n16n5a2h2X5Zn8wLpuMfxkjaM9VUl6wEYowJIWk\/AlkPpGzqucTAzcPqbFJCjZJ6Ss19BY3v3lwQ+RT3K39ViFfw\/JKE+c5kJR5IhRl00ghqYjBGwf+hvrXfM098gE98k1+7NzcLDunGQy1n3Puub4ZPihv3HzqmbohMS4FM3JsS72TuRcubH86Spo6z4tUySfSzfwkpQtH5smRw0fiute9TvCWgf\/\/4l73ulfwK23Mg7x\/cI4yojnwZomvBh7zmMd4zjws+LTfLSwalzxK6uo3m7yktNUHaaMuUCXceNI6Ypo\/5thjphT0CcWhQ8fE133d1\/lh\/ih\/4n5ILsi5drANQVJIE6RPNj+tkxQ3vNEN8\/8cuNvd757XnKR053CDG9ww+L8a+LqPa5O3Jte45jVzTI9t\/wYHY8u1d8iLCmkSS\/wU3H6egynlgTA0Ar4tRswZylh2K2MPHYqlrYIhO3E1hnw2083Lv2hsyQHdLGaWvfRjln2remoCs+KxgVn27ejJ28esfFyj01AuBLiIJYWkWaFTei78AqmN8cNa0mCOsa\/+gjBPMqnxlaARa6NRjDz7Dx1aM12LfAh0OcN5GzTx1Zl0fGW0U6SLJOcZRbM1\/rwJaeTljk30JKYvF4vMAJODfdMRGB5FScF8BFFtknyaG5S5V8z8bMfhK66I9SOHY200sp8t7dzB11Lu8jHhXGYnu5Wo5PkHzQmU87SpEd3ayPPTjF0dN9Fble1B+3F2bFX2dz1dyjT0D+OQ\/7UBNo6NZpfbbmobRbghSTG94TuEaS+iQNFKiuZfmBrILRh\/xk4aRdN+Qyd6BZukkAS7AMbBNbio9wIJ04V8IIWrwGHU78PYCmCy1E4M6IIYpYJOOZshFnQeJRbaKfcvQ+2gq\/Aoqburd0cZRmbV8O3LN7ry6YXypx78vLdPYDGyeR8c03zSN593SdtyHwf3lhpuwZZxC5PcW7nOXc51yQ3N3K1vxm1+6Hun7Nz5k8ibh++ax9HXUI5kW3bhF6FtSEfGca2TT4773+9+8dCHPST4U8TB+eFvPhgxXveUcd7u\/HeBIdnRux2s9EzN+WNfKHOFmBroloZT505DIIXewW1Sa+bmhwYrWOfK7G8fwlmkFFC\/7aX+DbSuHb7nSzjYENfz6+yMS4F9iAWd3ToX6p1CTVxyqpLmoVWaHOxzR2DDIqB4l2Es8qKUG1bCAVvJkbE+r8Q6xeS8IhwF6NdPyfQFwF+9QK8n4CKuMX1BT\/wW1\/dH0zl84xgDzxxL3bHkbD4ZjKPQom8yjU18I3cU+qlanTN\/rY8rBjBHjbCTwv8UPo6nQI5YdnOebg61PCnQOTlsEpuSPzhsNgJjOxRMzm1zbop+FnVotTPmp516vXjSk54Yz3rWj8YFF1zgc1Fi15OXH7Dy\/AFVaMfm3My5ZBUJ7VtqIaaPYluMrjtp2TN5K1AjLBSfWbDdtWWNrsuSj8TVKNoeddz2am\/zUXZ7fXlAo0NW0vokH95wBgQAde6llsm42f1gHxwBRm6jQVYBk63s5VRtJTZjSgJoKo6uQ7cQPrrK3qFqOYkFO9TEhrTd55nW0m9\/Adk3tXzoQ\/OmQ0ybzqRIeZl0h2RaKx4FVi25T0WWtHWO4gCt9TvGH62JGaCC7feBV9bXOPEacYy\/Rjp0iEfNengdaJST1NLSJLTfrG8QYy8WGuBgMM9qdHPONvjaNsTjE23bXXtFLhRD4du8GQePbQI0YKLpc1hbUE\/m6ftsXW4zbz1BF0mmTjhgBkZgeBEw4LioiilGUgAPFo3FD\/8+0B8toPbS96Ol5qtaneUc7MR5IDcg98g3XUkcw6TDdsdTTjBqAW92cJ9nGww4UG57BCT5PCv4wzhgbbSWvLXWjwxF2SZc0Uwoz83ERLUtTpLbDgNao6lJ6uusH1WwPdpNpqMW8GZXtksaqLHR2ZDtyMe6fWSrDvYdGgHGemNqFk9go2VzDXEATyiA3yq2G7\/Vdq9CcXxvPgu7181VX8pMjAZjfxcLwp+wQEvMjhM++K2gfW0YJzrRJuuHBgF1QW2vdW43OjRtOX3UqEMX4uv8BPRldC0wteyOkat3Yka4j3ZEe\/ruKgAAEABJREFUZqhbaxLPCNOeYxFtyb3IfZrG6tC39+TJnHOrFpp53nPqf1qvzaWpokvZgnNNTWirMk1N1+1subS5VVraGYovtpm0K8q1HOxLjcDwImCpFNt0bp8NEFCy1XzR7VvqYr1HQamzyIUW\/dWL7mTvfefpLn54jywEpL6WzS+8l5r7tJ\/ADXGTzLbM980H8j4YgfocLlsO57RGHV\/nLXxth69j4dEVlJhVUfL220CugU\/BULvFVmgdC1\/00CoeE0C9CpALkAs6E30DAQVVfUV1QAdHYMMioB46+MGoASW+oDNxfloBPWjFCfGroeDRCTUkWTJMw5AaXhEBYj9uWZgPba3hSiWFtD8QK9ik+X2Z3YRsqmFxV3a3yU\/SVXNwulnbA0xrGwn9Rsj+ahya48zcmPGsgW5zlIj0JD+wMKW3nHtRQlOxysNVKRcDVGMVfZvkU86L5jiVWZYKzLJPRHM5P02n4hs5rNs6YoFtuJ2izQTMPWCh6CdUrnCCsNQgVru17c9LKhtrWPReawpv9VV4lxTSMDbr9oZFwGYB27VzXgvm5dI84zZtpX3osqmI6WMox6z6+7HIQ\/EHuqNgBA5O3lFwkg5K3O0R4LKosdvtH7S33AisfBHAw68PSiqTAn4W8Cm2mi+67VJygq3kIQ5siB1U+jvnniNuoKc+EHdgBIbm36qaqXOvKmc\/T90GfN++U\/JB3t0ZAc5pjd1pdfFW6trgF43k\/gYW9Z\/lR5t9zPI90G9\/BFa+CNisJCYJWPdZBrwVmxWDH5hl36o+f47F7YdBfrBoLnxB39+p+qrBb4qJTVQBKW+IPlAcjMDBCByMwNE3Ank\/4\/4GXH7Kpgf7\/hyBXV8E5IO3nRzdkCDX6Aw7wJR2tjozHV+HWqRLixdKAN4kgR7gYAT2dAQOGj8YgRWOAPc3wP0NrDD1QaqdGYHdXwS4H8yRAosb97nGje7LaqbSIyyZQMTUGIrHPqRvdZuYW68DcjACByNwMAJH+Qgc3Oz29Qnc9UVA\/oEMrxCZF4Xv3ptbP8WvYOjqlJnOCtqFp4ZsD2FBEFuQsc43GFrpK7b5I3SDAQfKvRqBod9LXkS3V\/Wuot2DHAcjsIoR4N5WkPks5P3RQt5fTfM+CT3AvhyBXV8E7MtROCjqYAQORuBgBA5G4GAEroYjsGuLAFaFoBtjrxgLj34eit+WKckdDAFmux0ZdIoZDD6gNvdlbOgKkGug78voCmrbqnhJIc3GqtrZah5pdm2Stpr2qIqTNPMcrbYjB9kORmDjCEjbnH9qckJAI\/noe\/yGtwJWH+y7OwKSZt5fJMWuLQJiFzfPvXwDBd3JZofyoyuY17bmGEt8oXNc952p1FzTfVfkUV5QPbbwR3l3Dso\/ykaAOVcws3QcZhoPDDs9Agx\/jX57tW3XFwE8\/ProF7hVuXRsQzyGDcrlFKQAs6KwgVn2vr7vi1zQ9z0a5KO59qNhfKlxq2NM7AEORmC7IzBz\/mEgeaHwB9iTEeAUgFmNYwO1fdcXAXXjO8XTSbBZ\/kV8+jmImfo7A17RoCt+8KDIhdqtsB3FD3SKlkGXfz+hDUq5te13UmrN+ttii64VD8g2RyDHk7kBnCvllpoc7AcjsKMjUObbVCMoa4XnJvcAUKsP+N0ZgfoZRYucHgAPsPN3esBVbxHQTj46WmBVgCJvi5IIzEpiG4MNiotVhd2c2vmovnDa+uv+b97pA4+FR6Ad3839DzwORmAHRsDzj5tpfX23qh1o7CDllkZgsxPSs1\/1FgEeNfrIRE1YHtxxAoPG+crNwoQDmJdmjn3KhADm5dpnNsoFOf7J7LMCj\/JypoYUARzlfToo\/+gagU3vccxJcHR16ypT7dTQI4Cqd4gFV71FgJeo+ROppvnTgVXHp9jN7FPOE6EMHHSinXClbWj5v6\/r3zkvuik6Cc\/\/dIBYkPVvsc465W7y1F3Q1b+bBVzV2\/J82DC+1pVuH9CDEdjREfBcm5p\/sxqzX17\/s+wH+p0bAY\/91DmyPNWY5WKHXvUWAVO9XZ3AQ7+gZO3LRb8Q9YlYyO\/A6WAEDkbgYAQORuBgBHZoBK5Si4D+Q7kvlzEsemjRzaOSQmoQYboBaBvEFjc5rsBs7kUuNJX79DBUY9EVulelSwppGKuoSRrOLWkV6bscZANFAd8gotA42K6WIyAppI1Y5WDIyYBJ7vCgL6CrkfaDw66MQBn30hhy4aHIAB7A77tFAB+Q+6DYAxyMwMEI7P0I9K9N5L2v6qCCgxGYjABzso+JdXNuO7GbZ99dD\/qyWYv7ZhFAsWCzghexs7oBi\/gu60PegqHYYoMO2RfREQsW8d1vPtRdsN9qu6rUU8Z3N\/vDtQl2s82DtvbnCOzF\/FtkJJifYBHfIR9iwZDtaNFRP5hVLzZQ2\/fNIqAURYEJZlqrTLnlD8jBCByMwN6NQLkW89dY22u06PauqoOWD0ZgMgJlPuYcbdVF14pzSfoyt4E9UzY9mvas2fUzBmBW7fjtu0VAtIXPKvpAfzACV+8R2OPet9cnN489ruSg+YMRGB4Bz9E0bGWSEguIBZnoKDu4fh78lA+66q3n+dqhNey\/RYALo1aT6BcbB9vBCByMwJ6PANcnyEJgQAoHh4MR2D8jMDUtp4Qla9xO7JJNrcqdkgtm5mwd9t0igN9bLMjfM51ayszszoHhYAT2bATqvwPR51dV1H7J0943cn2+X2o6qCOiP++KvMjYFN8hukj8XvrweCgodeTzowiF4lT4iqIuSLWFEs9cL7qkR8uh1wf60z1Lbevz+24RcLSM80GdByNwdRoBbogF9LvwNUV\/gIMROBiBo2sE9s0ioNxM6uErukJr2wF\/9RgBSSFtD0fvSC1WubT5+CyWadhLmuSPMG8U2kg+Vj7SRI6D7So\/AtLkfEvT\/G53XqXB9hMvn4IT1nc281N7a4CAzuYcm8Z2zvuDoX6Q1bj+\/NRvAd0sbFgElLhCHb9n+6wair7QfoFFX2jfvh255KzpdvIdbbF1vwt\/tPVhJ+stY1LTVbe3We7aXvhV10C+WbmLHorffgN11dhv9R3UM38EFj13PPRmZSo5ZtnLw3OmfY6h5K7pHPc9N21YBOx5RQcFHIzA1XwErlLdn3cnvkp19KAz+2UEmHJg4Xp4WlfOxIJKddSx1F9jXge6RQDjANK5RKewOwfaBl1r1NAJDYMdpIQdpNAcsIGUsIEUtn8gL+gyrTB3l3MfM\/QddCVezfrf9XsGw9iAzsz4gE6xfYb8IDORuyAVkR9eOjs67NAVgLygS0Vu0Cl67WMDlX2vWeoHXR37rL6urgNmcAQ4d6Azcv4KWiX2hPX8mlz7zVVr7c3RTmsmg0y9J+v4fqxNc\/eMqz3IUcv7lO8WAVmfi2bg1lNoDhs61qh37Ej7iaqFqRpc47qBrrjAg5Rtm2tPp60fqG0n82+9st2JvLr3f7NRLuOz\/DW0WebW3pvfzPuC1iOYnwB90cGDIm+Vbto\/15c+bQO0WdCq9pxkfdTZVrLf6mvLOiAzRqCcP64xwPnrHtg+r8m3sdhAKzbEPvX1YbEOaXx8JA6YXXx3slJfHQsPFk+0e57Ti4C23RHVAmR3Cr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RXf9IVFNekj4bTdL\/Dp0tIB0kSY9vG3+S9Dt5UDJ57oFTv5K0ZOL4kUMUg+CKkk1xOrYObqaTpM3uNdvL7PwHZ6kNPwwBY6LD2KaZHTpfNsYN0X0JO0mzOmGWpKMZAMVtD5G5lz\/wTNJsdyaTOrVt\/EnS5ZMtmdRbJ\/e8NUomZSZbXvGwmmJwYRCd23Duh+wMKPlHsnoBZ+1voLFCJN1YPlw9ayMGlPH1nKSvbBmYvcVk8BRO\/5yZwD\/ZJJulcYa+DT+W6M3wta08Q9Dcf+0nr4FY3H7D9phIcquX9mMMrUIJNzDiQ07xz3rWs5pBXzyHShr8koks0sCCDgs365UGKY\/uJPHYDb9Dq5xLaeWdviZpVvE4g1aTrF6Kn5mdmcs\/MzPTtz3Jn6TBi2xJ2nRZMiRp0quPgQIWySRsvE8mz2340V\/Ve7id\/E\/rB+T1afUjN+fVs7TCDDYcHOWwE1ZI3GfoM5w5OgOHww8\/vP9ZEow9y8+p8mwgE69tYGIFSngyCOBmAcKDPK69fhsG726BdMkEI2dlDGwcNI7CNNkOgwedxSJJn0hxZF\/y4pc0TgsdU5Z41OUfyrzJTW7S6Cqdt+Jl8BefZDO7NPIWN5\/EaUNf5XfPLsEhST\/7Sf+tEiUTh3qsL3lGms9zfNYWHL2Pf+zjzQqLetNRtp0TKz9+HCsO0Itf\/OJmZWash\/7OhttGphvGBStD9A9v8iorSYMj\/s4LWY1hR5OI7n9+h95wXnyP6qCDD2rqKdIVn2RiV2GbpL9s48OjZJQOJemrnORSnwMPOLDJy1kmz+zsbMf9f785+UsU8pLDZF2cNPgg5ZiQaD9OnHpygMgpHScaNu7\/7M\/+bPKnY9avb3RbuLY3VrIttzvqdm12GE\/wbW1lfk+swMrwLq7LQECjUzydZzGyZMqJuslNb7IMjq0rs0EnmSi2AfGQQw\/pgyEGyaQDjfcGBQpLsSmwcOTZVZj7aRKOxjD3IyWb+I9h4zVJs4rGuAlLtkyrrkmaTuLAp1mmt1iQGT9yJsP+uY6apO99k6Vtw4\/BYlvzLMU+SZ+tmVEl6R+jVJel8syPW0weWyuMrPrSFwaR7iSb45ekt7MB0LkA6R2abMMP3iiZ5NHmnIchqhs415EMssqZHYwfh8DMVl7xySS\/FQLP5ECM\/7SzmaQ7KNLYfjUYa1PP04Sv80Nmk2SyKoJXsin\/XrN7NU6xs2\/O8XhhwYya4z2uVhpADCh44KmM8Zqkz3hhYqtXOFlQki3qrzyYmz0bwAxQykNWAmxz4Q8j9dI2SdygKacAABAASURBVARtQckkfCxriwRDQDJJQ67hce5\/kmYVlu6bHGgLg4PBW79U5+OOO67\/aR9hHEeOhbgkzeqA\/q9s+R1i1+Yj3fwWN+9vwHrLSdnyGbitHM0JscSNAd7gpj8rnxOOD5rOBifx8Ne2VlrQ6PDhMZ3e\/ciDDn7h819o2oFjzWHUDtreIGobjv7hpY7yqq\/rfEomOM8PJ58wTqPrNJGDvXEV7rqQvOKWIoP5LW5+i+78cwqs5pCfk8OJgY3+ahWL3r36Na\/u\/SctzbEFbYM4yFa+4LJQeVZhOUTOIElvdVR7jnXkXJvs6KsL5deW4zer6IKtNunUGS88PcOac5bBMU8iaDN6x7+\/o9sibUNmq3fO1jlrRp9db3HLWzTnrWw3wzVJ\/9ApRtrQ5IUTpa702jESK4ryWI1S1x\/+4Ie9bw8wtWRLOfDaUVQO045Ccjv5UApGhtGlnMiqgFn3SJ51IrO5JFtVCjMjxoOS4e1NJMo+LWIy4ZOkv4FGjul49xTYdZpGJ2M6Tkc0uAhTJl6uaDqve51NvaRJNg2I4vBwxcdAgMyYDYDqgwyI6qRMhhcm6iaPvCiJy6oTGdTPip26k8uqkLDlCCO\/15oZGPX0LK\/rzOxMPySp7mZidAJP5bjOJw6I8uWVx\/2YJpngA0N6JzxJ16tkcp0ZVlEYb3HyJ5NwzyONskmXpH8LSpwyRyKf\/PR3vgzJhCc+HDJ1lj6ZOMDkw0\/481\/w\/P5JA+dvnNuwvG8rmTF3doszpS6jLMmEt\/yIPOLokO0Wz0lEbUbCyXnyKSe3q139an21yTkWK7bKUJZVNR8hNbBIm6SvcKhHsiVPWLYFfpLMYS5a2Ug9PI9kQOKgkT1J\/\/uD5BDPCTHLd29QsvXlHubk4cjhqQ8J56TQr5Hkga9BNJlsKcNJ+iSyLErqxdGSXxlkwW\/MIAwlaRwd21K23LQbDN07NkBOvFCyqUx56cAjH\/XIdrOb36xxln053Cq8vM6J4UN2jiR7ASN9ZZRhuVd5k\/T22CLPsHCG\/xhOLnrqOoYtdBUPZ1f1kOeMM8\/o28BJ+hfgTfpse8HG1rK6aDtHNOgd\/WppzcSLvuGl73MeFipzDNOGiC7RH5ORJH0yjadt8XXr143JN7smaRzHJP3FEHZWPYwrsFUPbTXdbtMMkrRk4viMMsvDSaQfdEs7sWNwYeOtwI3ychzxxpPT5yiA+sOFnTB+fPvb3+4f+7US7GOoXjohozwrSeUwrSS6O4m3DjF67ESgXJRRZ\/M8TRwgHSKZzMCnlU56vISNV7MknSVJZ5OkefYhsXY2f\/AmDzbK1Kke97jHNV+8dkYJOSSIfDPHcj1yCNDXg+VbLqmbt3Bcl5tna+mSdCycf2EMGBhbIgaFtowfsti2cX7NVplD+uonXHaGgmFnBBkPbSp8IWIgxTM88jBYY7okfeY6\/Tzen91rhtnmNI9koifCpmXwPBL9MVslZ5Lm2T0jSg8YRasqDjIblM04nfUwO7fa4ByDw+0MbzKpm3qjZFI+nspHo9FvC\/zQPyu6HE4rhVZnDPC2FDgHztoh+qcNtHGSPkC0YWBdgOUkbqGIZYYl6Qd1yQQPKxLeduKo2IIiG6yEO8eDLfzojYFeHs\/SmZXrR14\/129sd1qx08dcOaTOFlqBwmcpwl8b6KewOPTQQ5uzXcLZi6XyikvS\/xwM+aRH8opDSbrD6tyblYzxjJXVEeVywhzIt2qhfHgg\/DzjsS2UbGzHrWSalnErSbuDQiYOtrM9o77Mz0c\/2TVOE4dIHs4uTBC9VS\/tyemQXx7XrZH2GSeWeOkX7BP7sFheecRJq0xpTWjVfZqkWYzonPzIpN0ZKvbMUQq6hzyPOujsJWL3kklbyOsNWZMVkwE46I+cZatmzl2xBZxpZy+lX0yeHRFeDtOOQHEH8RgVcXvZJZPBgqJa7tQ5dCoDCadIh5vm7ZmC+Y6OjiytvGManSRJX1Y1U9BxfvyjH\/fBVr628YcSmz1IjzYGb\/PFYGXWM86eyGcPWwfy9pdtJlcG0xkb995EMgu54x3vuM0DE7nVOZl0zhH\/0ZHyrJ5wdL+1Co1pyOvcD8PmLSqrA2Ne\/KSbT6OB9\/YPh8hKI8fA0jsZ0WhI4WOGjQd+I29XmLk6SK1+2sNAmkRwJ7z6zfBrfv4hqLXWehvjjxZLIy1eyUTvkvQ2SCZX+chDBk6IZ1jKN01J+ttW6oyfdM47OMORpP+tPZhwPp3HsrpiG9m2JOfUIAMnsiL5F3JehItPJvJNyzDeZ3D4OGe2jaVn6K1iWfq3GmBbga7Z1lMXdRvztszd9Rv53cDAvfTuhc0ncglLJkw8jzSGK1c\/pis+8ki\/DEIcIedv9Hn4SS9vMtn+9qz\/Kt8ZMH1Hn3G97nWu21c6bOU5XG\/r1D2nXb6tkfI4lnSN7bBd+dOf\/LTBRXkL5YeFvm7QtvXE2ZMeJZvqbyWCo2GiwKF22NpbfSZH2t42GcfO9jE5yIDHeJ0uW5mwh8t0uOfNaP0wZdkwoel00\/fSTz8vdq9Mjq0zW7YQvaQxOiLz84xYwd+99krSbS+7Sw\/VS364mBDRg7bxJ0nj0KijFViTCOVZifXmorfJtI9+ZCvdipa0si9UHzjDVBmcVenGv\/Un\/UjCFyN2Whnkpqv6KHttBd4HZOnfqId0zzMdJ588ynDFg82zjffBD36wf0rBFiXnCh7SGb\/0T47mYvLsiPBymHYEirsIj2QycBHHoE3RKJxB28xRBxY3kvgPfPADzaE+YeIpn3vkngEaOw5e73r3u7YYTMUb6MdVrSQtCRbbRAYrvJyLsFSrE+j4C3UC6RgNsw\/nnMwuFJYsr9wkDQ+UZFF5YcDoOG9gqdhzW+InSf96tEObY1o4WwExQChPOJpmA3uv9Jv9cxxGI+m8ljhpGS7GUps4t2LwFD4Sns4lKMcMjJGxImOFRlyyZT2Fj\/mnr8KnSVyyZf4kHcc2\/KjbcJn8H1Zb5Fd3ZOtE\/ejQJEHrmCcTnR3f4BSvngYMjivs6QFytomD5J7xb8NPkj6L96KAFY4kXR6rSJvJ01rX2+Gy5H9YOxMjL\/1S3nnPc95eRpLOm4xk0Rbq1hb4UfckPQYvA4+2Ed4D5\/1SriBpXRcig4l0iA54e9QWFay0ufNJ8ifpAy05ORO2efQnZyTNyqdlyOAgtuEHT6tOVpoMRA4YD8Fb\/Y+XT4AoI0mzIveEv3lCf8uVU7QQPkmaP6Gh79JzsuEz0lioSQebQjYDvbe3pEnSdUc6\/OmVeo9xwpO4zBEe4gUk6fmTeFw2JdlMh5LM8UmyBR9lcvzJqC9yhF75ilduxmPMpK2k99ayMPf0Wb2S9K+R0yF67+A8e0cHknQZOEuDm9eUZfXzxBNPbFbnbVW1tP6SAscNPzrhTcoRD+VNkz5n5RIvEx0rOHR3urwkLcl0ti3uOUynnXZad57xGe04GZA6kwGx81Y4rYCya8pGVqEcxDeB0d+SdH4c+qOOOqqx\/SZSeHCe9MstBNmBAeUw7UAwt4WVBkbbkmdM6yovStIVN4ngOaKMZl88e8ppP9whSTNRCsZwOvtgINcBdUT8KGk\/2Ldu\/TDCtM7bjFOcDmMlyZJo2\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\" width=\"257\" height=\"385.4560491493384\" \/><\/span><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><br \/><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The bar chart illustrates the significant improvement in the experimental group compared to the control group. While both groups improved, the intervention group showed more than 2.8 times greater gain.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Qualitative Findings<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Thematic analysis of interview transcripts revealed the following key themes:<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">&#8211; Improved 3D visualization and spatial orientation of molecules<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">&#8211; Reduction in reliance on rote memorization<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">&#8211; Increased engagement and curiosity during lessons<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">&#8211; Challenges with initial use of modeling software but eventual ease<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Overall, the findings strongly support the hypothesis that molecular modeling improves both visual and conceptual understanding in inorganic chemistry.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Discussion:<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The findings of this study underscore the pedagogical significance of integrating molecular modeling tools in teaching inorganic chemistry. The substantial gain in the post-test scores of the experimental group, supported by statistical analyses (t-test and ANCOVA), confirms that students benefitted from the visual representation and manipulation of molecular structures. The learning gains were not only statistically significant but also practically meaningful, showing a 5.2-point average improvement compared to the control group\u2019s 1.8-point gain.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Qualitative feedback from interviews reinforced this evidence. Students consistently reported increased engagement, better conceptual clarity, and improved spatial understanding when interacting with molecular modeling software. They highlighted their ability to visualize complex 3D geometries\u2014such as octahedral, square planar, and tetrahedral\u2014more effectively. This supports prior research that emphasizes the role of visualization in cognitive processing of abstract scientific information (Wu &amp; Shah, 2004; Gilbert, 2007).<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Moreover, misconceptions identified in the diagnostic test (e.g., misunderstanding electron pair repulsion or coordination numbers) were largely resolved post-intervention. This aligns with the findings of Kumar (2024, 2024, 2024), where concept-based visuals and text-based remediation significantly improved students&#8217; grasp of chemical bonding concepts. Notably, the ANCOVA results demonstrated that the intervention was effective even after accounting for pre-existing differences in prior knowledge\u2014suggesting that molecular modeling adds substantial value beyond traditional instruction.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Some limitations were noted, such as initial unfamiliarity with the software, which caused minor delays in comprehension. However, most students adapted quickly, and this temporary barrier did not impede long-term understanding. Thus, the molecular modeling approach proves to be a powerful scaffolding tool for conceptual change.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b8e13ec elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b8e13ec\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2ad2537\" data-id=\"2ad2537\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1c6ba91 elementor-widget elementor-widget-heading\" data-id=\"1c6ba91\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Conclusion:\n<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a32b0b2 elementor-widget elementor-widget-text-editor\" data-id=\"a32b0b2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This study concludes that molecular modeling significantly enhances students\u2019 conceptual and visual understanding of inorganic chemistry, particularly in topics related to molecular geometry and coordination compounds. By bridging the gap between abstract textbook representations and tangible 3D visualizations, molecular modeling tools serve as effective cognitive aids in correcting misconceptions and fostering deeper comprehension.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Quantitative evidence, supplemented by rich qualitative insights, supports the hypothesis that students taught using these tools outperform those taught by conventional methods. The integration of molecular modeling not only improves academic performance but also fosters learner engagement and confidence in dealing with spatially complex content.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Recommendations:<\/span><\/p><ol style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Curriculum Integration: Institutions should embed molecular modeling tools into undergraduate chemistry curricula, especially in inorganic and physical chemistry courses.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Teacher Training: Faculty should be trained in using modeling software (e.g., Avogadro, Jmol) effectively, both technically and pedagogically.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Accessible Tools: Open-source or institutionally licensed modeling software should be made available to students for continuous, self-paced learning.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Blended Instructional Design: Use molecular modeling in tandem with traditional lectures and lab activities to maximize learning outcomes.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Further Research: Future studies could explore long-term retention, the impact on higher-order thinking skills, and use of modeling tools in other branches such as organic or materials chemistry.<\/span><\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0b37cd0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0b37cd0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-331ec18\" data-id=\"331ec18\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bc4d8f2 elementor-widget elementor-widget-heading\" data-id=\"bc4d8f2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Statements and Declarations\n<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c86d568 elementor-widget elementor-widget-text-editor\" data-id=\"c86d568\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Peer-Review Method:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> This article underwent a double-blind peer-review process by two independent external reviewers with expertise in Chemical Education and Cognitive Psychology. This ensures the scholarly quality and pedagogical validity regarding the use of 3D modeling tools.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Competing Interests:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> The author, Sandeep Kumar, declares no potential conflicts of interest, financial or otherwise, that could have influenced the comparative study between traditional and modeling-enhanced instruction.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Funding:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> This research was conducted at the School of Applied and Behavioral Sciences, NIILM University, Kaithal. No external financial support was received for this project.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Data Availability:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> The study utilizes results from diagnostic tests and student interviews. Data reflecting improvements in conceptual clarity and reduction in misconceptions are available from the author upon reasonable request.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Licence:<\/span> <span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Visual vs Conceptual Understanding: Addressing Misconceptions Through Molecular Modeling in Inorganic Chemistry<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> \u00a9 2025 by Sandeep Kumar is licensed under <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">CC BY 4.0<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">. This work is published by the International Council for Education Research and Training (ICERT).<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Ethics Approval:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> The study was designed to ensure academic integrity and follows the institutional ethical guidelines for educational research at NIILM University, Kaithal. Necessary permissions were obtained for conducting diagnostic tests and interviews within the student sample.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6eb62a5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6eb62a5\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-159e033\" data-id=\"159e033\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cfc8c56 elementor-widget elementor-widget-heading\" data-id=\"cfc8c56\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">References<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ad7092 elementor-widget elementor-widget-text-editor\" data-id=\"4ad7092\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ol style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Bodner, G. M. (1991). I have found you an argument: The conceptual knowledge of beginning chemistry graduate students. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Journal of Chemical Education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">68<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(5), 385\u2013388. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1021\/ed068p385\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1021\/ed068p385<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Bretz, S. L. (2001). Novak\u2019s theory of education: Human constructivism and meaningful learning. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Journal of Chemical Education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">78<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(8), 1107. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1021\/ed078p1107.6\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1021\/ed078p1107.6<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Coll, R. K., &amp; Treagust, D. F. (2003). Investigation of secondary school, undergraduate, and graduate learners\u2019 mental models of ionic bonding. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Journal of Research in Science Teaching<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">40<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(5), 464\u2013486. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1002\/tea.10085\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1002\/tea.10085<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Gilbert, J. K. (2008). Visualization: An emergent field of practice and enquiry in science education. In J. K. Gilbert, M. Reiner, M. Nakhleh (Eds.), <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Visualization: Theory and practice in science education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> (pp. 3\u201324). Springer. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1007\/978-1-4020-5267-5_1\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1007\/978-1-4020-5267-5_1<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2024a). Remediation of chemical bonding misconception through conceptual change text. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Edumania-An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(3), 63\u201373. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.59231\/edumania\/9056\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.59231\/edumania\/9056<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2024b). Effect of Concept Based Cartoons as art integration on Alternative Concepts in Chemical Bonding. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Shodh Sari-An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">3<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(3), 286\u2013302. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.59231\/sari7735\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.59231\/sari7735<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2024c). An analysis of common misconceptions in chemistry education and practices. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">International Journal of Applied and Behavioral Sciences<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">1<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(1), 1\u201311. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.70388\/ijabs24701\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.70388\/ijabs24701<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2024d). Enhancing conceptual understanding in chemistry education through AI-powered tutoring systems. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Shodh Sari International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">04<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(02).<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Nakhleh, M. B. (1992). Why some students don\u2019t learn chemistry: Chemical misconceptions. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Journal of Chemical Education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">69<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(3), 191. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1021\/ed069p191\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1021\/ed069p191<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Sanger, M. J., &amp; Greenbowe, T. J. (2000). Addressing student misconceptions concerning electron flow in electrochemistry. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Journal of Chemical Education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">77<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(6), 762.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Taber, K. S. (2002). <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chemical misconceptions: Prevention, diagnosis and cure<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">I<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: Theoretical background. Royal Society of Chemistry.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Tasker, R., &amp; Dalton, R. (2006). Research into practice: Visualisation of the molecular world using animations. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chem. Educ. Res. Pract<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">7<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(2), 141\u2013159. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1039\/B5RP90020D\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1039\/B5RP90020D<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Tsaparlis, G. (1997). Atomic orbitals, molecular orbitals and related topics: Conceptual difficulties among chemistry students. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Research in Science Education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">27<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(2), 271\u2013287. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1007\/BF02461321\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1007\/BF02461321<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Williamson, V. M., &amp; Abraham, M. R. (1995). The effects of computer animations on the particulate mental models of college chemistry students. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Journal of Research in Science Teaching<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">32<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(5), 521\u2013534. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1002\/tea.3660320508\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1002\/tea.3660320508<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Wu, H.-K., &amp; Shah, P. (2004). Exploring visuospatial thinking in chemistry learning. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Science Education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">88<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(3), 465\u2013492. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1002\/sce.10126\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1002\/sce.10126<\/span><\/a><\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7d59c04 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7d59c04\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-823f9c8\" data-id=\"823f9c8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-24d1a3b\" data-id=\"24d1a3b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-70086fa elementor-widget elementor-widget-elementskit-social-share\" data-id=\"70086fa\" data-element_type=\"widget\" data-widget_type=\"elementskit-social-share.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >\t\t<ul class=\"ekit_socialshare\">\n                            <li class=\"elementor-repeater-item-db288b3\" data-social=\"facebook\">\n                    <div class=\"facebook\">\n                        \n                        <i aria-hidden=\"true\" class=\"icon icon-facebook\"><\/i>                        \n                                                                                            <\/div>\n                <\/li>\n                                            <li class=\"elementor-repeater-item-8c1acc4\" data-social=\"whatsapp\">\n                    <div class=\"whatsapp\">\n                        \n                        <i aria-hidden=\"true\" class=\"icon icon-whatsapp-1\"><\/i>                        \n                                                                                            <\/div>\n                <\/li>\n                                            <li class=\"elementor-repeater-item-a0e5dae\" data-social=\"linkedin\">\n                    <div class=\"linkedin\">\n                        \n                        <i aria-hidden=\"true\" class=\"icon icon-linkedin\"><\/i>                        \n                                                                                            <\/div>\n                <\/li>\n                                    <\/ul>\n        <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-53fe720\" data-id=\"53fe720\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6b1d869 elementor-align-right elementor-widget elementor-widget-button\" data-id=\"6b1d869\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/icert.org.in\/index.php\/edu-mania\/edumania-vol-03-issue-4-oct-dec-2025\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Back<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Edumania-An International Multidisciplinary Journal Vol-03, Issue-4 (Oct &#8211; Dec 2025) An International scholarly\/ academic journal, peer-reviewed\/ refereed journal, ISSN : 2960-0006 Visual vs Conceptual Understanding: Addressing Misconceptions Through Molecular Modeling in Inorganic Chemistry Kumar, Sandeep Professor of Chemistry, and \u2018by courtesy of Psychology\u2019, School of Applied and Behavioral Sciences, NIILM University, Kaithal, Haryana Abstract About [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[51],"tags":[],"class_list":["post-21977","post","type-post","status-publish","format-standard","hentry","category-edumania-vol3-issue-4"],"acf":[],"_links":{"self":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/posts\/21977","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/comments?post=21977"}],"version-history":[{"count":12,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/posts\/21977\/revisions"}],"predecessor-version":[{"id":28754,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/posts\/21977\/revisions\/28754"}],"wp:attachment":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/media?parent=21977"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/categories?post=21977"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/tags?post=21977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}