Shodh Sari-An International Multidisciplinary Journal
Vol-04, Issue-01 (Jan-Mar 2025)
An International scholarly/ academic journal, peer-reviewed/ refereed journal, ISSN : 2959-1376
IoT Makers: A Collaborative Learning Experience with TinyML
Joy, Helen. K.
Department of Computer Science, Christ Deemed to be University, Bengaluru, India
DOI: https://doi.org/10.59231/SARI7787
Subject: Computer Science / Collaborative Learning / IoT
Page No: 194-201
Received: Sep 27, 2024
Accepted: Nov 04, 2024
Published: Jan 01, 2025
Thematic Classification: Internet of Things (IoT), TinyML, Collaborative Learning, Edge Computing, STEM Education, Machine Learning for IoT.
Abstract
Traditional teaching methods often fail to fully engage students in the field of IoT, particularly when it comes to applying machine learning at the edge. This paper presents an innovative pedagogical approach titled “IoT Makers,” aimed at MSc Artificial Intelligence and Machine Learning students. The activity integrates Tiny Machine Learning (TinyML) into IoT projects, encouraging hands-on learning and collaborative problem-solving. The course introduces TinyML as a service (SaaS) using Edge Impulse as the primary platform. Students then develop real-world IoT solutions such as Smart Agriculture, Health Monitoring, and Smart Buildings, utilizing a variety of simulation tools. The results demonstrate enhanced engagement, practical application of theoretical concepts, and improved problem-solving skills among students.
Keywords: Collaborative Learning, IoT, TinyML, Hands-on Learning, Edge Computing, Team Building
About The Author
Dr. Helen K. Joy earned her B.E. in Electronics and Communication from Anna University, Chennai, followed by an M.E. in Applied Electronics with a gold medal from Satyabhama University, Chennai. She completed her PhD in Video Processing with Machine Learning at Reva University, Bengaluru. Currently, she serves as an Assistant Professor in the Computer Science Department at Christ University, Bengaluru. Her research interests include deep learning, video compression, and digital image processing. Dr. Helen K Joy has an extensive academic portfolio, having authored and co-authored over 20 journal publications, conference papers, and book chapters. She has also played a significant role in organizing more than 10 national and international conferences and has participated in over 20 workshops and certification programs.
Cite this Article
APA 7th Style: Joy, H. K. (2025). IoT makers: A collaborative learning experience with TinyML. Shodh Sari-An International Multidisciplinary Journal, 4(01), 194–201. https://doi.org/10.59231/SARI7787
Chicago 17th Style: Joy, Helen K. “IoT Makers: A Collaborative Learning Experience with TinyML.” Shodh Sari-An International Multidisciplinary Journal 4, no. 1 (2025): 194–201. https://doi.org/10.59231/SARI7787.
MLA 9th Style: Joy, Helen K. “IoT Makers: A Collaborative Learning Experience with TinyML.” Shodh Sari-An International Multidisciplinary Journal, vol. 4, no. 1, 2025, pp. 194-201, https://doi.org/10.59231/SARI7787.
Statements & Declarations
Review Method: This article underwent a double-blind peer-review process by two independent external experts in Embedded Systems and Computer Science Education to evaluate the technical feasibility of the TinyML integration and the effectiveness of the collaborative learning model.
Competing Interests: The author Helen K. Joy declares that there are no financial, personal, or professional conflicts of interest that could have inappropriately influenced the research findings or the analysis of the IoT frameworks presented in this study.
Funding: This research was conducted as part of the author’s academic and professional activities at Christ (Deemed to be University), Bengaluru. No specific external grants or commercial funding were received for this work.
Data Availability: The analysis is based on a structured collaborative learning workshop involving IoT and TinyML implementation. Data regarding hardware performance (MCU constraints) and student learning outcomes are documented within the article. Additional technical specifications are available from the author upon request.
License: IoT Makers: A Collaborative Learning Experience with TinyML © 2025 by Helen K. Joy is licensed under CC BY-NC-ND 4.0. This work is published by the International Council for Education Research and Training (ICERT).
Ethics Approval: The study involved educational interventions and followed the ethical guidelines for institutional research. Participant anonymity was maintained, and the project was conducted under the oversight of the Department of Computer Science, Christ University.
References
Frey, C. B., & Osborne, M. (2017b). Looking ahead: Our world in 2030. Bertelsmann Stiftung.
Frey, C. B., & Osborne, M. A. (2017a). The future of employment: How susceptible are jobs to computerization? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
Kaur, H. (2024). Implications of Educational Philosophy of Sri Aurobindo in 21st Century. Edumania-An International Multidisciplinary Journal, 02(02), 193–203. https://doi.org/10.59231/edumania/9047
Johnson, D. W., & Johnson, R. T. (2016). Cooperative learning and critical thinking. Journal of College Science Teaching, 45(4), 95–102.
Johnson, D. W., Johnson, R. T., & Smith, K. A. (2016). Active learning with cooperative learning. (2004). What the best college teachers do. Bain, K. Journal of College Science Teaching. Harvard University Press. 2, 45(4), 95–102.
Özçetin, G., & Karaköse, T. (2016). Collaborative learning in IoT applications. Journal of Educational Technology & Development, 8(2), 119–132.
Özçetin Gökçe, F., & Karaköse, T. (2016). The effects of collaborative learning activities on students’ creativity in science education. Journal of Educational Technology & Development Exchange (JETDX), 8(2), 119–132.