Abstract

With the development of information technology, learning methods have continuously evolved from distance learning to mobile learning. Distance learning breaks through the limitations of time and space, enabling educational resources to be disseminated across geographical regions; mobile learning further utilizes smart terminals to achieve a learning experience anytime, anywhere. However, the rapid development of generative artificial intelligence in recent years is driving the learning paradigm into a new stage. Based on summarizing the development characteristics of distance learning and mobile learning, this paper systematically proposes the concept of ”Generative AI Learning (GAL)” for the first time and constructs its theoretical framework and core mechanism. This paradigm emphasizes a closedloop learning process of ”content generation—interactive construction— personalized adaptation—dynamic feedback,” transforming learners from ”content recipients” to ”knowledge co-creators.” This paper further analyzes the application models and potential challenges of GAL in education, providing theoretical reference for the future development of intelligent education.

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