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AI, Machine Learning, and IoT in Higher Education: Transforming Teaching, Learning, and Research

AI, Machine Learning, and IoT in Higher Education: Transforming Teaching, Learning, and Research
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Author(s): Mustafa Kayyali (Maaref University of Applied Sciences, Syria)
Copyright: 2026
Pages: 28
Source title: Powering e-Collaboration Through AI, Machine Learning, and Internet of Things
Source Author(s)/Editor(s): Jingyuan Zhao (University of Toronto, Canada)
DOI: 10.4018/979-8-3373-2372-5.ch005

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Abstract

The intersection of Artificial Intelligence, Machine Learning, and the Internet of Things is reshaping the contours of higher education. This chapter explores how these technologies are not merely enhancing but fundamentally transforming teaching, learning, and research practices. From AI-powered personalized learning systems to IoT-connected classrooms that sense and respond to student needs, the academic landscape is being redefined. Machine learning opens doors to predictive insights in both pedagogy and research, helping educators and scholars make data-informed decisions. Yet, amid the innovation, questions around equity, ethics, and institutional readiness remain. This chapter critically examines both the potential and the pitfalls, offering a grounded perspective on how AI, ML, and IoT are enabling a new era of collaborative, intelligent education.

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