Research on Personalized Textbook Design Strategy and Application Path Empowered by Artificial Intelligence

Abstract

The rapid development of artificial intelligence technology is reconfiguring the education ecology and promoting personalized education as an important development direction. As an important medium for carrying knowledge content and transmitting teaching information, the digital transformation of teaching materials plays a particularly crucial role in the whole process of educational change. This study focuses on the design strategy and application path of AI-enabled personalized teaching materials, and proposes an AI-enabled personalized teaching materials innovation plan for the three core problems of traditional teaching materials: content updating lags behind the speed of knowledge iteration, standardized design is difficult to adapt to individual learner differences, and unidirectional delivery mode restricts the depth of teaching interaction. By integrating the technological advantages of generative AI and knowledge mapping, the study proposes a personalized teaching material design strategy of “dynamic generation, multimodal interaction, and closed-loop optimization”, and constructs a three-layer implementation framework that includes technological integration, development process, and standard guarantee. Through theoretical analysis and case validation, the study provides a systematic solution for the development of intelligent teaching materials, which is of great reference value for the promotion of personalized education and the digital transformation of education.