Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)

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Generative AI in Higher Education: Transforming Teaching, Research, and Student Engagement

Authors
Zhimin Deng1, *, Yaming Yu1
1XINGZHI COLLEGE ZHEJIANG NORMAL UNIVERSITY, Jinhua, 321000, China
*Corresponding author. Email: leooelcn@me.com
Corresponding Author
Zhimin Deng
Available Online 15 May 2025.
DOI
10.2991/978-2-38476-400-6_84How to use a DOI?
Keywords
Generative AI; Higher Education; Teaching Efficiency; Student Engagement
Abstract

Generative artificial intelligence (AI), like ChatGPT, holds significant promise for transforming higher education by improving teaching effectiveness, boosting research productivity, and facilitating personalized learning experiences. Even with these advancements, challenges like algorithmic bias, ethical dilemmas, and insufficient integration frameworks hinder its broader application. To examine the effects of generative AI, this study employs a mixed methods approach that incorporates controlled experiments, survey-based data collection, and quantitative assessments using established scales. The results indicate notable reductions in task completion times (up to 40%), increased student engagement (78% reported greater motivation), and advancements in academic performance. Ethical considerations, such as overreliance and partiality, are of utmost importance. This study offers valuable insights and a comprehensive framework for integrating generative AI, with significant implications for educators, scholars, and decision-makers. This also lays the groundwork for a more inclusive and innovative academic future.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 May 2025
ISBN
978-2-38476-400-6
ISSN
2352-5398
DOI
10.2991/978-2-38476-400-6_84How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhimin Deng
AU  - Yaming Yu
PY  - 2025
DA  - 2025/05/15
TI  - Generative AI in Higher Education: Transforming Teaching, Research, and Student Engagement
BT  - Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
PB  - Atlantis Press
SP  - 724
EP  - 729
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-400-6_84
DO  - 10.2991/978-2-38476-400-6_84
ID  - Deng2025
ER  -