Research on the Application Strategy of Generative Artificial Intelligence Empowering College Students' Independent Learning

The emergence of generative artificial intelligence (GAI) technologies, represented by ChatGPT, has garnered widespread attention globally, sparking a new wave in various fields, particularly education. This study employs a questionnaire survey to investigate the current status of autonomous learning among university students in Anhui Province during the AI era. It reveals prevalent issues such as exogenous learning motivation, inefficient strategy execution, and inadequate reflection mechanisms. Based on Zimmerman's Self-Regulated Learning Model, three-stage application strategies are proposed: activating learning interest and establishing personalized learning paths in the forethought stage; recommending intelligent learning resources and adjusting learning strategies in the performance stage; and evaluating autonomous learning effects and reflecting on the learning process in the self-reflection stage. To validate the effectiveness of these strategies, a controlled experiment and qualitative interviews were designed. The research confirms that GAI-enabled application strategies for autonomous learning can provide personalized guidance and support to university students, enhancing their autonomous learning outcomes.