Research on the Application and Impact of Generative AI (AIGC) on College Students' Self-directed Learning

With the rapid development of artificial intelligence technology, the application of Generative AI (AIGC) in the field of education has become increasingly widespread. This study, through interviews, delves into the current status, attitudes, impacts, and existing problems of college students' use of AIGC tools in their self-directed learning. The findings indicate that AIGC tools have played a positive role in improving learning efficiency, stimulating learning inspiration, and assisting academic writing. However, there are also issues such as insufficient accuracy of information, limited content innovation, and the potential for increased dependency. This paper proposes corresponding solutions and offers prospects for the future application of AIGC in the field of education.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/cste64638.2025.11092216
Citations
1
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
2.48
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Research on the Application and Impact of Generative AI (AIGC) on College Students' Self-directed Learning

Yuewen Wang, Jiayu Zhou, Ziming Wang, Xuan Wang et al.
1 citations
Educational Technology and Pedagogy
2.48
article

Research on the Application and Impact of Generative AI (AIGC) on College Students' Self-directed Learning

Yuewen Wang, Jiayu Zhou, Ziming Wang, Xuan Wang, Xin Gong, Yongfang Zhang
article en
1 citations

Abstract

With the rapid development of artificial intelligence technology, the application of Generative AI (AIGC) in the field of education has become increasingly widespread. This study, through interviews, delves into the current status, attitudes, impacts, and existing problems of college students' use of AIGC tools in their self-directed learning. The findings indicate that AIGC tools have played a positive role in improving learning efficiency, stimulating learning inspiration, and assisting academic writing. However, there are also issues such as insufficient accuracy of information, limited content innovation, and the potential for increased dependency. This paper proposes corresponding solutions and offers prospects for the future application of AIGC in the field of education.

Yan'an University (CN)
Openalex Percentile: Top 9%
Educational Technology and Pedagogy
2.48
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