Research on Strategies for Improving College Students' Independent Learning Ability in the Context of Artificial Intelligence

Abstract

This paper discusses the role and strategies of artificial intelligence technology in enhancing the independent learning ability of college students. With the rapid development of artificial intelligence technology, the field of education is experiencing unprecedented changes, which presents new challenges and opportunities for the independent learning ability of college students. The article first analyzes the current status of the application of artificial intelligence in education, including personalized learning content push, adaptive learning path planning, etc., and points out the current problems faced, such as low technology integration and imperfect personalized services. Then, the article emphasizes the importance of enhancing the independent learning ability of college students, including personal development, social adaptation, moral responsibility and other aspects. The article also discusses the problems of artificial intelligence in college students' independent learning, such as technology dependence, privacy and data security, and algorithm bias. Finally, the article proposes enhancement strategies, including teaching mode innovation, learning strategy guidance and learning environment optimization. Through systematic review and empirical research, this article aims to provide scientific and effective support for the enhancement of college students' independent learning ability to meet the requirements of the informationization era.