DOI: 10.1108/978-1-80791-234-520261008 ISSN:

Leveraging Artificial Intelligence for Equitable Access and Personalized Learning in Higher Education

Jagath Jayaprakash, Lyle Hamm

Abstract

This chapter explores the transformative potential of artificial intelligence (AI) in higher education, focusing on its role in promoting equitable access and personalized learning. Drawing from the author’s experience as an administrator at the Indian Institute of Technology Jammu, the chapter examines the challenges diverse student populations face and how AI can address these issues. It traces the evolution of educational technology over the past 25 years, from email to advanced AI systems, highlighting the impact on teaching, learning, and administrative processes. The chapter discusses the benefits of AI in higher education, including personalized learning experiences for students, enhanced accessibility for marginalized groups, and data-informed decision-making. It also addresses the ethical considerations and potential risks associated with AI implementation. The authors emphasize the importance of balancing AI integration with human interaction and advocate for responsible AI deployment in educational settings. The chapter concludes by outlining a vision for the future of AI in education, stressing the need for continuous learning, ethical frameworks, and a commitment to inclusivity and diversity.

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