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We can expect to see many books on this topic in the coming years. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes and personalize learning experiences — promises we have heard from edtech for more than 100 years. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns and make intelligent decisions, which can significantly improve educational outcomes. This book provides a detailed exploration of these themes and offers insights into the theoretical foundations, practical applications and ethical implications of AI in education. Each chapter explores specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations.
Tariq, M. U. (2025). AI-Driven Learning and Engagement in Higher Education. IGI Global.
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