Generative Artificial Intelligence Enabling Fragmented Learning: Status, Challenges and Optimization Strategies

The rapid evolution of mobile Internet and artificial intelligence technology has pushed Fragmented Learning to the main learning space for college students and lifelong learners. While Fragmented Learning brings convenience, it also faces challenges such as insufficient learning motivation, lack of social learning, and faulty knowledge system, etc. The emergence of generative artificial intelligence technology opens the door to new possibilities for solving these problems. This paper first analyzes the current situation and challenges of Fragmented Learning for college students, then explores the potential of generative AI technology in Fragmented Learning, and then puts forward three optimization strategies: launching a learning motivation and feedback mechanism, constructing a community and collaborative learning platform, and implementing an intelligent learning navigation system, with a view to providing references to improve the efficiency and overall effectiveness of Fragmented Learning.