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Editorials

Vol. 4 No. 1 (2025): Generative AI and education

Generative Artificial Intelligence and education: Research, policy and practice

DOI:
https://doi.org/10.21428/8c225f6e.001efa82
Submitted
13 August 2026
Published
15-08-2026

Abstract

Generative artificial intelligence (GenAI) has only recently become a focus of prominent discussion for many educational institutions and educators. Responses and reactions to the idea of access to GenAI and the uses of GenAI in education are varied – for example, there are those who advocate use (those who see its benefits and put use into practice), those who oppose use (those who recognise ethics and bias as major issues and ban use in practice), and those who believe that trialling use is important (those who see both potential benefits and challenges and are willing to trial use to assess the range of outcomes that might arise). This Special Issue is concerned with research that can shed light on the range of benefits and challenges that are highlighted in this emerging field—seeking to offer perspectives to support current and future research, practice and policy.

References

  1. Akgün, S. and Greenhow, C. (2021). Artificial intelligence in education: addressing ethical challenges in k-12 settings. AI and Ethics, 2(3), 431-440. https://doi.org/10.1007/s43681-021-00096-7
  2. Alammari, A. (2024). Evaluating generative AI integration in Saudi Arabian education: A mixed-methods study. PeerJ Computer Science, 10, e1879. https://doi.org/10.7717/peerj-cs.1879
  3. Cacicio, S., & Riggs, R. (2023). Bridging Resource Gaps in Adult Education: The Role of Generative AI. Adult Literacy Education, Fall 2023, 80-86. http://doi.org/10.35847/SCacicio.RRiggs.5.2.70
  4. Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20, 43. https://doi.org/10.1186/S41239-023-004118.
  5. Chen, S., Qiu, S., Li, H., Zhang, J., Wu, X., Zhang, W., … & Huang, F. (2023). An integrated model for predicting pupils’ acceptance of artificially intelligent robots as teachers. Education and Information Technologies, 28 (9), 11631-11654. https://doi.org/10.1007/s10639-023-11601-2
  6. Davis, N. (2018). Digital technologies and change in education: The arena framework. New York, NY: Routledge.
  7. Facer, K., & Selwyn, N. (2021). Digital technology and the futures of education – Towards ‘non-stupid’ optimism. Education and Information Technologies. https://doi.org/10.1007/s10639-021-10522-x
  8. Fosso Wamba, S., Guthrie, C., Queiroz, M. M., & Minner, S. (2023). ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management. International Journal of Production Research, 1-21. https://doi.org/10.1080/00207543.2023.2294116
  9. Gouseti, A. (2010). Web 2.0 and education: Not just another case of hype, hope and disappointment? Learning, Media and Technology, 35 (3), 351-356. https://doi.org/10.1080/17439884.2010.509352
  10. Guo, L., Wang, D., Gu, F., et al. (2021). Evolution and trends in intelligent tutoring systems research: a multidisciplinary and scientometric view. Asia Pacific Education Review, 22, 441–461. https://doi.org/10.1007/s12564-021-09697-7
  11. Hermann, E., & Puntoni, S. (2024). Artificial intelligence and consumer behavior: From predictive to generative AI. Journal of Business Research, 180, 114720. https://doi.org/10.1016/j.jbusres.2024.114720
  12. Hopfenbeck, T. N., Zhang, Z., Sun, S. Z., Robertson, P., & McGrane, J. A. (2023). Challenges and opportunities for classroom-based formative assessment and AI: a perspective. Frontiers in Education, 8:1270700. doi: 10.3389/feduc.2023.1270700
  13. Hsu, H.-P. (2023). Can Generative Artificial Intelligence Write an Academic Journal Article? Opportunities, Challenges, and Implications. Irish Journal of Technology Enhanced Learning, 7(2), 158-171. https://doi.org/10.22554/ijtel.v7i2.152
  14. Jančařík, A., Novotná, J., & Michal, J. (2022). Artificial intelligence assistant for mathematics education. European Conference on E-Learning, 21 (1), 143-148. https://doi.org/10.34190/ecel.21.1.783
  15. Kalota, F. (2024). A Primer on Generative Artificial Intelligence. Education Sciences, 14(2), 172. https://doi.org/10.3390/educsci14020172
  16. Kamalov, F., Calonge, D., & Gurrib, I. (2023). New era of artificial intelligence in education: towards a sustainable multifaceted revolution. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451
  17. Kanbach, D.K., Heiduk, L., Blueher, G., et al. (2024). The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective. Review of Managerial Science, 18, 1189–1220. https://doi.org/10.1007/s11846-023-00696-z
  18. Kaplan-Rakowski, R., Grotewold, K., Hartwick, P., & Papin, K. (2023). Generative AI and Teachers’ Perspectives on Its Implementation in Education. Journal of Interactive Learning Research, 34(2), 313-338. https://www.learntechlib.org/primary/p/222363/
  19. Khosrowi, D., Finn, F. & Clark, E. (2024). Engaging the many-hands problem of generative-AI outputs: a framework for attributing credit. AI Ethics. https://doi.org/10.1007/s43681-024-00440-7
  20. Kostka, I., & Toncelli, R. (2023). Exploring applications of ChatGPT to English language teaching: Opportunities, challenges, and recommendations. TESL-EJ, 27(3), n3. http://dx.doi.org/10.55593/ej.27107int
  21. Luo (Jess), J. (2024). A critical review of GenAI policies in higher education assessment: a call to reconsider the “originality” of students’ work. Assessment & Evaluation in Higher Education, 1–14. https://doi.org/10.1080/02602938.2024.2309963
  22. Mello, R. F., Freitas, E., Pereira, F. D., Cabral, L., Tedesco, P., & Ramalho, G. (2023). Education in the age of Generative AI: Context and Recent Developments. arXiv preprint arXiv:2309.12332. https://doi.org/10.48550/arXiv.2309.12332
  23. Mudawy, A. (2024). Investigating EFL faculty members’ perceptions of integrating artificial intelligence applications to improve the research writing process: A case study at Majmaah University. Advances in Mobile Learning Educational Research, 4 (1), 931-939. https://doi.org/10.25082/amler.2024.01.005
  24. Ogunleye, B., Zakariyyah, K. I., Ajao, O., Olayinka, O., & Sharma, H. (2024). A systematic review of generative AI for teaching and learning practice. Education Sciences, 14(6). https://doi.org/10.3390/educsci14060636
  25. Owan, V. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics Science and Technology Education, 19 (8), em2307. https://doi.org/10.29333/ejmste/13428
  26. Polemi, N., Praça, I., Kioskli, K., & Bécue, A. (2024). Challenges and efforts in managing AI trustworthiness risks: a state of knowledge. Frontiers in Big Data, 7, 1381163. https://doi.org/10.3389/fdata.2024.1381163
  27. Rasmussen, D., & Karlsen, T. (2023). Adopt or Abort? Mapping students’ and professors’ attitudes towards the use of generative AI in higher education. https://hdl.handle.net/11250/3130093
  28. Rosalina, R. (2022). The implementation of deep learning methods in education to support personalized learning. ICSECC, 1 (1), 44. https://doi.org/10.33021/icsecc.v1i1.4166
  29. Summers, A., El Haddad, M., Prichard, R., Clarke, K-A., Lee, J., & Oprescu, F. (2024). Navigating challenges and opportunities: Nursing student’s views on generative AI in higher education. Nurse Education in Practice, 79, 104062. https://doi.org/10.1016/j.nepr.2024.104062
  30. Uygun, D. (2024). Teachers' perspectives on artificial intelligence in education. Advances in Mobile Learning Educational Research, 4 (1), 931-939. https://doi.org/10.25082/amler.2024.01.005