Artificial Intelligence and Machine Learning in Higher Education

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Author(s): Ibrahim Eren Bisen (Rice University, USA), Emin Alp Arslan (Rice University, USA), Kamil Yildirim (Rice University, USA)and Yetkin Yildirim (Rice University, USA)
Copyright: 2021
Pages: 17
Source title: Machine Learning Approaches for Improvising Modern Learning Systems
Source Author(s)/Editor(s): Zameer Gulzar (BSAR Crescent Institute of Science and Technology, India)and A. Anny Leema (Vellore Institute of Technology (VIT), Vellore, India)
DOI: 10.4018/978-1-7998-5009-0.ch001

Keywords: Educational Technologies / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

Artificial intelligence and machine learning have the potential to address many of the problems that have emerged in higher education due the rapid and haphazard transition to online learning brought about by the coronavirus pandemic. These problems include students' struggle to self-regulate their learning, the increase in curriculum planning and administrative workload for teachers, and the loss of personalized interaction between students and teachers. This chapter explores how artificial intelligence can be used to help students and teachers to adapt to the new realities of online learning, and how these technologies could further transform higher education in the future. By providing more personalized, flexible, inclusive, and engaging learning experiences, artificial intelligence has the potential to re-invigorate students and teachers both and to make virtual classrooms more meaningful and productive.

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