The Influence and Countermeasures of Generative Artificial Intelligence on Academic Achievement of College Students in Hubei Province

Abstract

With the rapid advancement of generative artificial intelligence (AI) technology, its application in education has become increasingly widespread, significantly impacting college students' learning and daily lives. This study focuses on college students in Hubei Province to explore how generative AI affects their academic performance and proposes strategies to address these impacts. Through literature review and empirical research, it is confirmed that generative AI has a dual impact on college students. On one hand, it can enhance learning efficiency, assist in writing papers, and solve problems; on the other hand, it may also lead to over-reliance and issues of academic integrity. Based on educational theories, this study systematically analyzes the pathways through which generative AI influences college students' learning methods, thinking abilities, and academic evaluations. The findings indicate that if used appropriately, this technology can optimize the learning process, but it is crucial to be wary of potential negative effects. Based on the study's conclusions, several strategies are proposed — such as enhancing AI literacy education, improving academic standards, and optimizing the teaching evaluation system — to help universities adapt to educational changes in the AI era. This study is highly relevant for promoting positive interactions between technology and education and enhancing college students' self-directed learning capabilities.