Enhancing Student Engagement With AI: Personalized Learning and Adaptive Motivation Strategies

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Andi Asrifan, Rismawati Rismawati, Iskandar Sulaiman, Abdullah Abdullah, Nurdin Noni

2026 Ethical, Legal, and Pedagogical Perspectives on AI in Education Book chapter Cited by 0 Quartile

Abstract

This chapter examines the potential of Artificial Intelligence (AI) to improve student engagement via individualized learning and adaptive motivational techniques. It offers a comprehensive investigation of student participation in the digital age, supported by theoretical and pedagogical frameworks. The discourse emphasizes AI's ability to customize training, facilitate immediate feedback, and enhance motivation via gamification, adaptive responses, and emotional intelligence. Global case studies illustrate practical uses, while ethical, legal, and equity aspects highlight the necessity of responsible implementation. The chapter finishes with governmental proposals and educational innovations designed to maintain AI-enhanced learning environments that are inclusive, transparent, and centered on the learner. This approach ultimately envisions a world where AI enhances participation and fosters comprehensive and transformative educational experiences. © 2026 by IGI Global Scientific Publishing. All rights reserved.

Affiliations

Universitas Negeri Makassar, Indonesia; Universitas Muhammadiyah Palopo, Indonesia; Universitas Negeri Makassar, Indonesia; Universitas Negeri Makassar, Indonesia; Universitas Negeri Makassar, Indonesia

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