Role of IoT in Digital Personalized and Adaptive Learning Platforms
DOI:
https://doi.org/10.55938/wlp.v1i5.176Keywords:
Adaptive Learning, Personalized Learning, Individualized Recommendations, Learning PlatformsAbstract
The article examines contemporary studies on personalized learning, emphasizing the evolving characteristics of learning and how it impacts on personal experiences, cognitive awareness, prejudice, viewpoints, cultural background, and environment. It stresses the usage of terminology for defining learning, which will be utilized in meta-analyses of personalized educational studies. This review examines the subject of adaptive learning in educational management, highlighting its significance in satisfying the demands of learners. It promotes the incorporation of technology in adaptive learning to discover students' deficiencies and strengths, which benefits learners, educators, and all parties involved in education. It stresses the positive aspects of adaptive learning, especially optimized student involvement and successful teaching approaches, while also highlighting challenges that need to be addressed. The intention of the article is to investigate the influence of personalized learning platforms on students' academic performance and social-emotional skill development. It aims to discover the distinctive characteristics of these platforms that strengthen the development of students' social-emotional abilities, as described by fundamental frameworks. The purpose is to promote additional research into the effectiveness of digital technologies for individualized learning in enhancing social-emotional abilities. This review study investigates personalized and adaptable learning platforms in eLearning systems, especially competency-based learning, customized web service solutions, and presentation techniques. It discusses a design strategy for adaptive learning that involves providing personalized access and retaining incidents for recurrent learning. This study investigates the possibilities for IoT-enhanced adaptive learning environments in education, focusing on their advantages, limitations, and potential for enhancing participation, learning outcomes, diversity, and accessibility. It also discusses ethical issues, privacy problems, and the technological infrastructure required for its deployment.
References
Shemshack, A., & Spector, J. M. (2020). A systematic literature review of personalized learning terms. Smart Learning Environments, 7(1), 33.
Raj, N. S., & Renumol, V. G. (2022). A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020. Journal of Computers in Education, 9(1), 113-148.
Nazmi, R., Ardiyanto, J., Anshori, M. I., Siswanto, D. E., & Wirawan, R. (2023). Adaptive Learning in the Future of Educational Management Adapts to Student Needs. al-fikrah: Jurnal Manajemen Pendidikan, 11(2), 272-283.
Abu-Rasheed, H., Weber, C., & Fathi, M. (2023, July). Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations–a pedagogical and technical perspective. In Frontiers in Education (Vol. 8, p. 1210968). Frontiers Media SA.
Costa, R. S., Tan, Q., Pivot, F., Zhang, X., & Wang, H. (2021). Personalized and adaptive learning: educational practice and technological impact. Texto Livre, 14(3), e33445.
Kem, D. (2022). Personalised and adaptive learning: Emerging learning platforms in the era of digital and smart learning. International Journal of Social Science and Human Research, 5(2), 385-391.
Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: an emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 1-14.
Peng, P., & Fu, W. (2022). A pattern recognition method of personalized adaptive learning in online education. Mobile Networks and Applications, 27(3), 1186-1198.
Gerasimova, I., & Schevlyagin, M. (2021). How personalized learning platforms could improve social-emotional skills. In INTED2021 Proceedings (pp. 10033-10040). IATED.
Nyaga, J. M. (2023). IoT-enhanced adaptive learning environments: personalized online education for the digital age. African Journal of Computing and Information Systems (AJCIS), 7(X), 1-14.
Ahuja, K., & Bala, I. (2021). Role of artificial intelligence and iot in next generation education system. Intelligence of things: AI-IoT based critical-applications and innovations, 189-208.
Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating artificial intelligence (AI) for personalized and adaptive learning. Available at SSRN 4638365.
Kaswan, K. S., Dhatterwal, J. S., & Ojha, R. P. (2024). AI in personalized learning. In Advances in Technological Innovations in Higher Education (pp. 103-117). CRC Press.
Katonane Gyonyoru, K. I. (2024). The Role of AI-based Adaptive Learning Systems in Digital Education. Journal of Applied Technical and Educational Sciences, 14(2), 1-12.
Vashishth, T. K., Sharma, V., Sharma, K. K., Kumar, B., Chaudhary, S., & Panwar, R. (2024). AIoT in education transforming learning environments and educational technology. In Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition (pp. 72-107). IGI Global.
Jadán-Guerrero, J., Tamayo-Narvaez, K., Méndez, E., & Valenzuela, M. (2024, June). Adaptive Learning Environments: Integrating Artificial Intelligence for Special Education Advances. In International Conference on Human-Computer Interaction (pp. 86-94). Cham: Springer Nature Switzerland.
Essa, S. G., Celik, T., & Human-Hendricks, N. E. (2023). Personalized adaptive learning technologies based on machine learning techniques to identify learning styles: A systematic literature review. IEEE Access, 11, 48392-48409.
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Copyright (c) 2025 Sanjeev Kumar Shah, Mohammed Ismail Iqbal
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