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Frontiers in Educational Research, 2024, 7(11); doi: 10.25236/FER.2024.071112.

Applications and Challenges of AIGC in Empowering Personalized Learning for University Students

Author(s)

Wang Chuner

Corresponding Author:
Wang Chuner
Affiliation(s)

Zhejiang Normal University, Jinhua City, Zhejiang Province, China

Abstract

Personalized learning is the primary learning approach for contemporary college students. The emergence and development of Artificial Intelligence Generated Content (AIGC) technology have provided new opportunities for realizing personalized learning among college students. However, the use of this new technology also poses many challenges to personalized learning. This study explores the current applications and challenges of AIGC in empowering personalized learning for university students through methods of literature review and case analysis. The research finds that AIGC can currently meet the personalized learning needs of college students, but it also faces challenges such as students' excessive dependence on AI and the weakening of teacher-student relationships.

Keywords

AIGC; College Students; Personalized Learning; Applications; Challenges

Cite This Paper

Wang Chuner. Applications and Challenges of AIGC in Empowering Personalized Learning for University Students. Frontiers in Educational Research (2024) Vol. 7, Issue 11: 72-76. https://doi.org/10.25236/FER.2024.071112.

References

[1] The World Digital Education Conference Opens, and the China Smart Education Blue Paper (2022) is Released: Building a Personalized Lifelong Learning System - The Portal of the Ministry of Education of the People's Republic of China [EB/OL]. [2022-02-13]. http://www.moe.gov.cn/jyb_ xwfb/xw_zt/moe_357/2023/2023_zt01/mtbd/202302/t20230213_1044382.html.

[2] Digital Intelligence Empowers and Connects Openly: The 5th World Academic Library Future Forum Held in Beijing [EB/OL]. [2024-06-15]. https://baijiahao.baidu.com/s? id= 1802830638591633976&wfr=spider&for=pc.

[3] Chen Baohong, Shan Weilong. Research on Cultivating College Students' Autonomous Learning Ability from the Perspective of "Internet+": Taking College English as an Example [J]. China Educational Technology, 2021(12): 139-145.

[4] Bai Xuemei, Guo Rifa. How Can Generative Artificial Intelligence Empower Learning, Abilities, and Evaluation? [J]. Modern Educational Technology, 2024, 34(1): 55-63.

[5] More News | Understanding These Terms in the Plenary Session's Decision (VII) - Xinhuanet [EB/OL]. [2024-07-31]. http://www.news.cn/20240731/c626c7b2ebb244198e7034590701022b/c.html.

[6] Zheng Yunxiang. Research on the Status Quo of Personalized Learning among College Students in the Information Technology Environment [J/OL]. China Distance Education, 2015(7): 19-25+79.

[7] Wu Lv, Yang Lei. The Possibility of ChatGPT Empowering Learning [J/OL]. E-Education Research, 2023, 44(12): 28-34.

[8] Li Yan, Xu Jie, Jia Chengyuan, et al. The Status Quo and Reflections on the Application of Generative Artificial Intelligence Among College Students: Based on a Survey Conducted at Zhejiang University [J/OL]. Research on Open Education, 2024, 30(1): 89-98.

[9] Liu Hongwei, Ji Ying, Gao Yu, et al. Leveraging Academic Resource Advantages and Artificial Intelligence Technology to Enhance the Ability of University Libraries to Support Personalized Learning [J/OL]. Journal of Academic Libraries, 2024, 42(4): 5-12.

[10] Yan Yifeng, Ding Jie, Gao Ying, et al. Generative Artificial Intelligence Empowers the Transformation of Education in the Digital Age [J/OL]. Research on Open Education, 2024, 30(2): 42-48.

[11] Zhu Zhiting, Dai Ling, Hu Jiao. High-Awareness Generative Learning: An Innovative Learning Paradigm Empowered by AIGC Technology [J/OL]. E-Education Research, 2023, 44(6): 5-14.

[12] Gan Xueyan. Immediate Concerns and Long-Term Prospects: Emotional Education in the Era of Generative Artificial Intelligence [J/OL]. Heilongjiang Research on Higher Education, 2024, 42(10): 1-6.