IoT for Smarter Students in Smarter Personalized Learning: Higher Education Context

Abstract

The traditional classroom is moving to rapidly evolving technologies that assist in improving teaching and learning in the 21st century and prepare students for the future workforce. The Internet of Things (IoT) has changed the betterment of education by assisting lecturers to administer it according to every student's needs. This chapter explores the avenues of IoT in education, including its applications, merits, and demerits. The chapter introduces the IoT and provides an in-depth analysis of how it is significant in education, and its current status in education is also elaborated. Applications of IoT are crucial and may be used to design smart classrooms, such as the integration of mobile technology and sensors. The merits of adaptive learning are that it can be accessed easily, provides fast feedback from the lecturers, and student engagement is also increased. For smart classrooms to be put in place, it is important to have the relevant infrastructure; lecturer development through short courses, workshops, and seminars; creation of relevant curriculum content; and implementation procedures. The convenience of IoT-based adaptive learning, such as increased student achievement, lecturer high remuneration rates, and increased lecturer satisfaction, is also discussed. The chapter also intends to examine the issues and challenges that need attention in IoT integration in higher education setups. The lessons learned from the accomplishment of IoT-based adaptive learning deployments are also stated. The importance of strategising on how to handle the challenges in connection with equity and access is highlighted to make sure that students at large have an equal chance to benefit from this latest technology development.

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Citation

Chasokela, D., Hlongwane, J., & Mathonsi-Tshuma, E. (2026). IoT for Smarter Students in Smarter Personalized Learning: Higher Education Context. In A. Duarte, J. Andrade, & P. Dias (Eds.), Digital Tools and Platforms for Effective and Personalized Learning (pp. 123-154). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-6013-3.ch005