Opportunities, Challenges, Strategies, and Reforms for ChatGPT in Higher Education
Abstract
ChatGPT is a powerful large language model developed by OpenAI. It has a profound impact on higher education fields. This technology offers exciting opportunities for students and educators, including personalized feedback, increased accessibility, interactive conversations, lecture preparation, performance evaluation, and new ways to teach complex concepts. At the same time, ChatGPT poses different threats and challenges to the traditional high education system, such as the possibility of cheating on online exams, human-like text generation, diminished critical thinking skills, and difficulties in evaluating information generated by ChatGPT. This paper explores the potential opportunities and challenges that ChatGPT poses in higher education from the perspective of students and educators. In higher education, by understanding these challenges and taking steps to mitigate them, we can then ensure the language models to be used in a responsible and ethical way.
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Students' dependency on GenAI for academic tasks could reduce critical thinking and engagement.
“In separate studies, Lan and Chen [16] and Xie and Ding [44] both critically analyze the implications of students' dependency on GenAI for academic tasks, which they argue could reduce critical thinking and engagement.”
From Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda (2025) · cites this paper as [44]
GenAI has the potential to support academic integrity through strategic pedagogical alignments.
“However, both sets of authors see the potential for GenAI to support academic integrity through strategic pedagogical alignments.”
From Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda (2025) · cites this paper as [44]
Cites
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A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
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ChatGPT is fun, but not an author
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ChatGPT User Experience: Implications for Education
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Role of Chat GPT in public health
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Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
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“What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter
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Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda
Bittle, K., & El-Gayar, O. (2025) · Information · doi:10.3390/info16040296 · Cited by 305 · see citing works
“In separate studies, Lan and Chen [16] and Xie and Ding [44] both critically analyze the implications of students’ dependency on GenAI for academic tasks, which they argue could reduce critical thinking and engagement.”
Mohammed, C., & Sarjusingh, W. (2024) · 2024 IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie61694.2024.10893028 · Cited by 5 · see citing works
Responsible Use of Generative AI in the Context of a Capstone Electrical Engineering Project
Mohammed, C., & Rocke, S. (2026) · 2026 IEEE Engineering Education World Conference (EDUNINE) · doi:10.1109/edunine62390.2026.11546862
- Authors
- Xie, X., & Ding, S.
- Affiliations
- Wuhan University of Science and Technology,Journal Editorial Department of Wuhan University of Science and Technology,Wuhan,China
- Wuhan University of Science and Technology (CN)
- Venue
- 2023 International Conference on Educational Knowledge and Informatization (EKI)
- Publisher
- IEEE
- Published
- 2023-09-22
- Pages
- 14-18
- OpenAlex
- W4391858119
- Cited by
- 18
- References
- 12
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 6
- FWCI
- 4.63
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Educational Knowledge and Informatization (EKI) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
- Keywords
- ChatGPT, large language models, higher education, academic integrity, critical thinking, personalized feedback, accessibility in education, artificial intelligence in education, ethical use of AI
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