Cited by 22Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationAI in Service Interactions

Students’ perceptions about the opportunities and challenges of ChatGPT in higher education: a cross-sectional survey based in China

Cao, Xi, Lin, Yu-Jia, Zhang, Jia-Hui, Tang, Yi-Ping, Zhang, Meng-Ping, Gao, Hao-Yue·2025·Education and Information Technologies

Integrity signals

Registry

Crossref · 10.1007/s10639-025-13339-5

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45 of 45 references verified0 citation errors · 0 not checkable

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Authors
Cao, X., Lin, Y.-J., Zhang, J.-H., Tang, Y.-P., Zhang, M.-P., & Gao, H.-Y.
Affiliations
Chengdu Medical College (CN)
Corresponding author
  • Cao, Xi
  • Gao, Hao-Yue
Venue
Education and Information Technologies
Published
2025-01-10
Volume
30
Issue
9
Pages
12345-12364
ISSN
  • 1360-2357 (ISSN-L)
  • 1573-7608
OpenAlex
W4406250025
Cited by
22
References
42
Citations by year
2026: 14 · 2025: 8
FWCI
14.14
Type
journal article
Language
en
Open access
closed
Locations
Education and Information Technologies (publishedVersion)
Funders
  • Chengdu Medical College undergraduate education and teaching reform research project in 2022 (JG2022010)
  • Chengdu Medical College, Sichuan Applied Psychology Research Center (CSXL-22212)
  • Chengdu Medical College-the Second Affiliated Hospital of Chengdu Medical College Joint Fund Project (2022LHFSSYB-06)
  • Sichuan Medical Law Research Center 2022 Scientific Research Project (YF23-Q15)
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 › AI in Service Interactions
Keywords
ChatGPT, generative AI, student perceptions, higher education, artificial intelligence in education, ethical risks of AI, AI accuracy, career development, personalized learning, Chinese university students

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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.

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