Cited by 18Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationEducational Technology and Pedagogy

Opportunities, Challenges, Strategies, and Reforms for ChatGPT in Higher Education

Xie, Xiaoli, Ding, Sheng·2023·2023 International Conference on Educational Knowledge and Informatization (EKI)

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.

Integrity signals

Registry

Crossref · 10.1109/eki61071.2023.00010

Cites

12 of 12 references verified0 citation errors · 0 not checkable

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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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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