BOOK-CHAPTER

AI-Powered Personalization

Mustafa Kayyali

Year: 2025 Advances in computational intelligence and robotics book series Pages: 85-108   Publisher: IGI Global

Abstract

The fusion of artificial intelligence with blended learning is reshaping how we define educational journeys. This chapter explores how AI-driven personalization enables more fluid, learner-centered pathways that adapt in real time to individual needs, habits, and aspirations. Moving beyond static models, AI offers the potential for dynamic interventions that respond to learner data with nuance and precision. But this transformation brings profound questions: How do we preserve student agency amid algorithmic influence? Where does ethical responsibility lie when data defines direction? Through a critical yet hopeful lens, the chapter unpacks the evolving role of personalization, not merely as a technological function but as a philosophical shift in pedagogy. In reimagining blended classrooms, we find both promise and provocation—an invitation to redefine what meaningful learning could truly look like in a digital age.

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Topics

Scientific Computing and Data Management
Social Sciences →  Decision Sciences →  Information Systems and Management

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