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RETRACTED: The application and challenges of ChatGPT in educational transformation: New demands for teachers' roles
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With the rapid development of information technology, artificial intelligence has demonstrated great potential in promoting educational transformation. In November 2022, the release of the artificial intelligence product ChatGPT attracted widespread attention, particularly in the field of education, sparking heated discussions among scholars. As a language processing tool, ChatGPT can not only answer user questions but also complete user-specified tasks and even continuously optimize task performance. However, while possessing powerful features, ChatGPT also has some shortcomings that need improvement, such as the accuracy of answering questions, data pollution issues, ethical and safety concerns, and the risk of knowledge plagiarism. In the process of promoting school education reform, the application of ChatGPT brings both opportunities and challenges. Moreover, ChatGPT's emergence offers teachers an opportunity to reflect on their professional value and sets higher demands for them.
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“This finding suggests that university students, in particular, value ChatGPT for its utility in completing academic tasks, such as writing assistance, research, and learning new concepts [1,7,20,65].”
From ChatGPT in Learning: Assessing Students’ Use Intentions through the Lens of Perceived Value and the Influence of AI Literacy (2024) · cites this paper as [65]
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Metadata
- Authors
- Yu, H.
- Affiliations
- Shaanxi Normal University (CN)
- Corresponding author
- Yu, Hao
- ORCID
- Yu, Hao
- Venue
- Heliyon
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 10
- Issue
- 2
- Pages
- e24289
- ISSN
- 2405-8440 (ISSN-L)
- PMC
- PMC10828640
- OpenAlex
- W4390674638
- Cited by
- 225
- References
- 65
- Citations by year
- 2026: 33 · 2025: 104 · 2024: 88
- FWCI
- 84.60
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- gold
- doi.org
- Licence
- Locations
- Heliyon (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China
- Beijing Normal University (ICER201902)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Educational Technology and Pedagogy
- Keywords
- ChatGPT, educational transformation, teacher role, artificial intelligence in education, school education reform, contaminated data, retracted article
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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