Development of AI-Based Personalized Textbooks: Theoretical Framework and Practical Strategies

Abstract

Personalized learning has become a central issue in contemporary educational reform. As the fundamental carrier of teaching and learning, the intelligent transformation of textbooks has emerged as a key pathway for advancing the implementation of personalized education. This study focuses on the development of AI-based personalized textbooks. By defining their conceptual connotations and core components, identifies three essential characteristics: generative, adaptive and evolvable. Building upon this foundation, a three-dimensional theoretical framework—comprising the knowledge layer, cognitive layer, and technological layer—is constructed from the perspectives of epistemology, cognitive science, and technological synergy. Furthermore, four practical strategies are proposed: constructing a “human-machine co-creation” dynamic content ecosystem; implementing a “data-driven” precise adaptation scheme; creating an “integrated virtual-physical” intelligent interactive environment; upholding the ethical and safety boundary of “technology for good”.