The Role of Generative AI in The Process of Autonomous Learning of College Students

Jiayin Liu

doi:10.54097/brzv3w55

Authors

Jiayin Liu

DOI:

https://doi.org/10.54097/brzv3w55

Keywords:

AI; college students; autonomous learning; thinking ability.

Abstract

It is more and more common for college students to use generative AI for autonomous learning in the background of the Digital Era. The impact of AI on autonomous learning has been widely considered, but the research on the impact of generative AI on college students' autonomous learning ability is still insufficient. This paper analyzes the role, positive influences, and disadvantages of generative AI used by college students in the process of autonomous learning. After analysis, it is proven that generative AI can not only improve the efficiency of self-learning of college students, but also have an impact on the advanced thinking ability of college students. Based on this, this paper suggests that college students should improve their self-discipline under the guidance of teachers, and improve the autonomous learning framework with the help of generative AI in combination with their actual situation. And finally, the ability of lifelong learning is cultivated.

Downloads

Download data is not yet available.

References

[1] Ouyang Y, Zhang C. Research on interactive mechanisms and strategies of college students' autonomous learning under the guidance of education digitization. The Guide of Science & Education, 2024, (21): 53-56.

[2] Wang H, Tong Y. Artificial Intelligence: a new opportunity for college students to study independently and efficiently. Journal of Qilu Normal University,2020, 35(06): 15-21.

[3] Ye Z, Sun L. Analysis of the current situation and enhancement strategies of Artificial Intelligence-empowered college students' English self-learning. Overseas English, 2023, (08): 124-127+134.

[4] Fang Y. Research on college student self-regulated learning mode construction supported by digital learning resources. Northeast Normal University, 2011.

[5] Chu H. Digital transformation of English learning in vocational colleges based on generative Artificial Intelligence. Journal of Nanjing Open University2024, (04): 59-63.

[6] Guo W, Lau K. Constructing key competencies: From the perspective of self-regulated learning. Global Education, 2017, 46(03): 16-28.

[7] Zhang G, Jia J. Research on prompt literacy cultivation in the era of generative AI. Journal of Academic Libraries, 2024, 42(06): 63-71.

[8] Tao X. From ChatGPT to Sora: Opportunities and challenges of foreign language teaching in the background of digital transformation. Language And Education Studies, 2024, 8(02): 5-11.

[9] Wang D, Liu Y, Jing X, Liu Q, Lu Q. Catalyst for future education: An empirical study on the impact of artificial intelligence generated content on college students' innovation ability and autonomous learning. Education and Information Technologies, 2024, 1-20.

[10] Zou T, Xiong Q. The risks of academic misconduct in the use of generative Artificial Intelligence and its governance. Journal of University of Jinan(Social Science Edition), 2024, (06): 163-167.

[11] He L, Ying Z, Wang Y, Sun W. ChatGPT in education: A diagnostic study of teaching ability. Journal of East China Normal University Educational Sciences, 2023, (07): 162-176.

[12] Qi J, Xu Y, Liu J, Xue K. The impact of generative Artificial Intelligence tools on college students' critical thinking and autonomous learning ability. e-Education Research, 2024, 45(12): 67-74.

[13] Chen T, Ma Z, Zhang Y, She L, Guo B, Yang F. Construction of a self-directed learning model for basic chemistry assisted with Artificial Intelligence technology. Medical Education Research and Practice, 2025, (01): 49-54.

[14] Zheng H. Research on the cultivation and evaluation of college students' autonomous learning ability. Chinese Vocational and Technical Education, 2016, (13): 66-70.