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Impact of Generative Artificial Intelligence on Teaching Paradigm Shifts in Colleges and Universities, and the Countermeasures

Xiuyu Zeng

Abstract


With the rapid development of generative artificial intelligence technologies, such as ChatGPT and ERNIE Bot, their ability in information generation, knowledge integration, and interactivity and feedback are profoundly impacting the conventional teaching paradigm in
colleges and universities. This paper analyzes the specific impact of generative artificial intelligence on teaching paradigm shifts in colleges
and universities from three dimensions: restructuring teaching factors, reforming teaching models, and upgrading assessment systems, points
out the challenges currently faced by colleges and universities, such as inadequate technology adaptation, ill-defined of teacher roles, and
academic integrity risk, and proposes some countermeasures, including promoting "technology-teacher-student" tripartite synergy, developing
adaptive assessment systems, and perfecting the academic integrity guarantee mechanism, aiming to provide reference for colleges and universities to enhance their teaching quality with the help of generative artificial intelligence.

Keywords


Generative Artificial Intelligence (AI); Teaching Paradigm in Colleges and Universities; Teaching Paradigm Shifts; Countermeasures; Academic Integrity

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References


[1] Ni Li. (2025) Internal Tension and Adjustment Pathways of Generative Artificial Intelligence to Empower Ideological and Political

Course Teaching in Colleges and Universities [J]. Art and Literature for the Masses, 16, 166-168.

[2] Zhe Xu and Xiangyun Xu. (2025) The Double-edged Effect of Generative Artificial Intelligence on Teaching Innovation Behaviors of

University Teachers: The Role of Efficacy-Stress and Cognitive Reconstruction [J]. Journal of Higher Education Management, 19 (04),

72-85.

[3] Andreas Fleischmann and Ying Chen. (2023) The Impact of Generative Artificial Intelligence on Teaching in German Colleges and Universities and Prospects: A Case Study of ChatGPT [J]. Application-Oriented Highter Education Research, 8 (04), 75-80.




DOI: http://dx.doi.org/10.70711/neet.v3i11.8099

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