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Cited by 272Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationEducational Technology and Pedagogy

Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools

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Liu, Ming, Ren, Yiling, Nyagoga, Lucy Michael, Stonier, Francis, Wu, Zhongming, Yu, Liang·2023·Future in Educational Research
DOI 10.1002/fer3.10
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Abstract

Abstract ChatGPT is an artificial intelligence chatbot that utilizes advanced natural language processing technologies, including large language models, to produce human‐like responses to user queries spanning a wide range of topics from programming to mathematics. As an emerging generative artificial intelligence (GAI) tool, it presents novel opportunities and challenges to the ongoing digital transformation of education. This article employs a systematic review approach to summarize the viewpoints of Chinese scholars and experts regarding the implementation of GAI in education. The research findings indicate that a majority of Chinese scholars support the cautious integration of GAI into education as it serves as a learning tool that offers personalized educational experiences for students. However, it also raises concerns related to academic integrity and the potential hindrance to students' critical thinking skills. Consequently, a framework called DATS, which outlines an optimization path for future GAI applications in schools, is proposed. The framework takes into account the perspectives of four key stakeholders: developers, administrators, teachers, and students.

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  • GenAI can be used by educators to craft personalised learning plans, create effective discussions and interactions, and deliver appropriate and practical feedback.

    “GenAI can be used by educators to craft personalised learning plans, create effective discussions and interactions, and deliver appropriate and practical feedback (Liu et al., 2023).”

    From Higher Education's Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania (2024) · cites this paper as Liu et al., 2023

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  1. Al-Worafi, Y. M., Hermansyah, A., Goh, K. W., & Ming, L. C. (2023). Artificial intelligence use in university: Should we ban ChatGPT? [Preprint]. Medicine & Pharmacology. https://doi.org/10.20944/preprints202302.0400. · DOI
  2. v1s · DOI
  3. Baker, P. (2023). ChatGPT for dummies. John Wiley & Sons.
  4. Gao, Q., & Yan, W. (2023). Knowledge revolution or education alienation? ChatGPT and the future of education. Journal of Xinjiang Normal University (Chinese Edition of Philosophy and Social Sciences), 44(5), 102-112. (in Chinese). https:// doi.org/10.14100/j.cnki.65-1039/g4.20230313.002 · DOI
  5. He, L., Ying, Z., Wang, Y., & Sun, W. (2023). ChatGPT in education: A diagnostic study of teaching ability. Journal of East China Normal University (Journal of Educational Science), 41(7), 162-176. (in Chinese)
  6. Jiang, H. (2023). Research on the impact of artificial intelligence chatbots on research results and talent evaluation: An analysis based on ChatGPT and Microsoft Bing perspectives. Journal of Chongqing University (Social Science Edition), 29(2), 97-110. (in Chinese)
  7. Jiao, J. L. (2023a). ChatGPT: Are school education friends or enemies? Modern Educational Technology, 33(4), 5-15. (in Chinese)
  8. - LIU ET AL. 28359402, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1002/fer3.10 by Readcube (Labtiva Inc.), Wiley Online Library on [02/09/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License · DOI
  9. Jiao, J. L. (2023b). ChatGPT promotes the digital transformation of school education with artificial intelligence: What to learn and how to teach in the era of AI. Distance Education in China, 43(4), 16-23. (in Chinese). https://doi.org/10.13541/j. cnki.chinade.20230226.001 · DOI
  10. Li, H., & Wang, W. (2023). Design and evaluation of student assignments in the era of generative artificial intelligence. Open Education Research, 29(3), 31-39. (in Chinese). https://doi.org/10.13966/j.cnki.kfjyyj.2023.03.003 · DOI
  11. Li, Z. (2023). The subversion and resetting of the "basic" of basic education by ChatGPT/AIGC. Journal of East China Normal University (Journal of Educational Science), 41(7), 47-55.
  12. Lu, Y., Yu, J., Chen, P., & Li, M. (2023). Education applications and prospects generative artificial intelligence: Using the ChatGPT system as an example. Distance Education in China, 43(4), 24-31. (in Chinese). https://doi.org/10.13541/j. cnki.chinade.20230301.001 · DOI
  13. Qiu, Y., & Li, Z. (2023). Challenge, integration, and change: Review of the "ChatGPT and future education" conference. Modern Distance Education Research, 35(3), 3-12. (in Chinese)
  14. Wang, T. (2023). Features, educational significance, and problem-solving of ChatGPT. Ideological & Theoretical Education, 4, 19-25. (in Chinese). https://doi.org/10.16075/j.cnki.cn31-1220/g4.2023.04.011 · DOI
  15. Wang, Y., Wang, D., Liang, W., & Liu, C. (2023). "Aladdin's Lamp" or "Pandora's Box": The potential and risks of ChatGPT education applications. Modern Distance Education Research, 35(2), 48-56. (in Chinese)
  16. Watkins, R., Milman, N. B., & Corry, M. (2022). New artificial intelligence technologies and potential educational impli- cations. Distance Learning, 19(4), 101-105.
  17. Wu, D., Li, H., & Chen, X. (2023). Analysis of the impact of generative artificial intelligence model education applications. Open Education Research, 29(2), 19-25. (in Chinese). https://doi.org/10.13966/j.cnki.kfjyyj.2023.02.003 · DOI
  18. Xia, Q., Cheng, M., Xue, X., Zhao, J., & Lai, J. (2023). How to effectively integrate ChatGPT into education from an in- ternational perspective-Based on a systematic review on 72 literature. Modern Educational Technology, 33(6), 26-33.
  19. Yang, Z., Wang, J., Wu, D., & Chen, X. (2023). Exploring the impact of ChatGPT/AIGC on education and strategies for response. Journal of East China Normal University (Journal of Educational Science), 41(7), 26-35. (in Chinese)
  20. Yu, G., & Su, J. (2023). The communication revolution and media ecology in the wave of generative artificial intelligence: From ChatGPT to the future of fully intelligent era. Journal of Xinjiang Normal University (Chinese Edition of Phi- losophy and Social Sciences), 44(5), 1-10. (in Chinese). https://doi.org/10.14100/j.cnki.65-1039/g4.20230307.001 · DOI
  21. Zhang, R. (2023). The impact of generative artificial intelligence technology on the education field: An interview about ChatGPT. E-education Research, 44(2), 5-14. (in Chinese). https://doi.org/10.13811/j.cnki.eer.2023.02.001 · DOI
  22. Zhang, Z., Zhang, L., Mi, T., & Qiu, S. (2023). Will large-scale language models promote structural reform in schools? A prospective analysis based on ChatGPT. Distance Education in China, 43(4), 32-41. (in Chinese). https://doi.org/10. 13541/j.cnki.chinade.20230301.002 · DOI
  23. Zheng, Y., & Ren, W. (2023). The pathway selection for the educational application of ChatGPT from the perspective of practical observation. Modern Distance Education, 2, 3-10. (in Chinese). https://doi.org/10.13927/j.cnki.yuan.20230328. 002 · DOI
  24. Zhou, H., & Li, Y. (2023). The impact of ChatGPT on the educational ecosystem and response strategies. Journal of Xinjiang Normal University (Chinese Edition of Philosophy and Social Sciences), 44(4), 1-11. (in Chinese). https://doi.org/10. 14100/j.cnki.65-1039/g4.20230224.001 · DOI
  25. Zhu, Y., Li, Y., Yang, Y., & Zhai, X. (2023). Intelligent technology drives higher education reform: Key points and reflections on the 2023 Horizon report: Teaching and learning edition. Open Education Research, 29(3), 19-30. (in Chinese). https:// doi.org/10.13966/j.cnki.kfjyyj.2023.03.002 · DOI
  26. Zhu, Y., & Yang, F. (2023). ChatGPT/generative artificial intelligence and educational innovation: Opportunities, challenges, and the future. Journal of East China Normal University (Educational Sciences), 41(7), 1-14. (in Chinese). https://doi. org/10.16382/j.cnki.1000-5560.2023.07.001 · DOI

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Authors
Liu, M., Ren, Y., Nyagoga, L. M., Stonier, F., Wu, Z., & Yu, L.
Affiliations
Southwest University (CN)
Corresponding author
Liu, Ming
ORCID
Venue
Future in Educational Research
Publisher
Wiley
Published
2023-09
Volume
1
Issue
1
Pages
72-101
ISSN
2835-9402 (ISSN-L)
DOI
10.1002/fer3.10
OpenAlex
W4386390931
Cited by
267
References
22
Citations by year
2026: 77 · 2025: 100 · 2024: 84 · 2023: 6
FWCI
63.13
Type
journal article
Language
en
Open access
Licence
Locations
  • Future in Educational Research (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (61977054)
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
generative AI in education, ChatGPT, large language models, academic integrity, critical thinking, personalized learning, digitalization of education, stakeholder perspectives, teacher and student attitudes

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