Responses to the Initial Hype: ChatGPT Supporting Teaching, Learning, and Scholarship?

Berrin Cefa; Felicitas Macgilchrist; Hebatullah ElGamal; John Y. H. Bai; Olaf Zawacki-Richter; Frank S. Loglo

doi:10.55982/openpraxis.17.2.872

Responses to the Initial Hype: ChatGPT Supporting Teaching, Learning, and Scholarship?

Volume 17 (2025): Issue 2

By: Berrin Cefa , Felicitas Macgilchrist , Hebatullah ElGamal , John Y. H. Bai , Olaf Zawacki-Richter and Frank S. Loglo

Open Access

|Jul 2025

Abstract

Immediately after its public launch in November 2022, ChatGPT quickly gained widespread attention across various research fields, including education. The excitement surrounding ChatGPT is not an isolated event as education experienced other innovations that heralded the novelty as a potential game-changer in learner support and teaching. Open, Distance, and Digital Education (ODDE) scholars, along with critical educational technology (edtech) researchers, have long argued that technological affordances must be examined alongside their constraints. This study scopes the early academic response to ChatGPT, mapping the emerging discourse through bibliometric and content analysis. Using a corpus of 217 papers published from November 2022 to July 2023, we identify key themes, methodological trends, disciplinary perspectives, and geographic distributions. Through network analysis of keywords, titles, and abstracts, and a deeper content analysis of full texts, we explore how scholarly discussions framed ChatGPT’s implications for education. Beyond documenting initial reactions, this study provides a lens on how educational research engages with rapid technological shifts in an evolving landscape of AI in education.

References

Abdulai, A., & Hung, L. (2023). Will ChatGPT undermine ethical values in nursing education, research, and practice? Nursing Inquiry, 30(3), e12556. 10.1111/nin.12556
Open DOI Search in Google Scholar Back to article
Albert, S., & Thomas, C. (2000). A New Approach to Computer-aided Distance Learning: The “Automated Tutor.” Open Learning: The Journal of Open, Distance and e-Learning, 15(2), 141–150. 10.1080/713688395
Open DOI Search in Google Scholar Back to article
Ali, D., Fatemi, Y., Boskabadi, E., Nikfar, M., Ugwuoke, J., & Ali, H. (2024). ChatGPT in Teaching and Learning: A Systematic Review. Education Sciences, 14(6), 643. 10.3390/educsci14060643
Open DOI Search in Google Scholar Back to article
Ariyaratne, S., Iyengar, K. P., Nischal, N., Chitti Babu, N., & Botchu, R. (2023). A comparison of ChatGPT-generated articles with human-written articles. Skeletal Radiology, 52(9), 1755–1758. 10.1007/s00256-023-04340-5
Open DOI Search in Google Scholar Back to article
Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. 10.1080/1364557032000119616
Open DOI Search in Google Scholar Back to article
Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. 10.1162/qss_a_00019
Open DOI Search in Google Scholar Back to article
Baber, H., Nair, K., Gupta, R., & Gurjar, K. (2024). The beginning of ChatGPT – a systematic and bibliometric review of the literature. Information and Learning Sciences, 125(7/8), 587–614. 10.1108/ILS-04-2023-0035
Open DOI Search in Google Scholar Back to article
Bai, J. Y. H., Zawacki-Richter, O., Bozkurt, A., Lee, K., Fanguy, M., Cefa Sari, B., & Marin, V. I. (2022, September 14–16). Automated essay scoring (AES) systems: Opportunities and challenges for open and distance education. In Proceedings of The Tenth Pan-Commonwealth Forum on Open Learning (PCF10). Calgary, Canada. 10.56059/pcf10.8339
Open DOI Search in Google Scholar Back to article
Bai, J. Y. H., Zawacki-Richter, O., & Müskens, W. (2024). Re-examining the future prospects of artificial intelligence in education (AIEd) in light of the GDPR and ChatGPT. Turkish Online Journal of Distance Education, 25, 20–32. 10.17718/tojde.1248901
Open DOI Search in Google Scholar Back to article
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. 10.1145/3442188.3445922
Open DOI Search in Google Scholar Back to article
Bond, M. (2024). The International Journal of Educational Technology in Higher Education: Content and authorship analysis 2010–2024. International Journal of Educational Technology in Higher Education, 21(1), 60. 10.1186/s41239-024-00492-z
Open DOI Search in Google Scholar Back to article
Bozkurt, A. (2024). GenAI et al.: Cocreation, Authorship, Ownership, Academic Ethics and Integrity in a Time of Generative AI. Open Praxis, 16(1), 1–10. 10.55982/openpraxis.16.1.654
Open DOI Search in Google Scholar Back to article
Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to CoronaVirus pandemic. 15(1).
Search in Google Scholar Back to article
Bozkurt, A., Uçar, H., & Koçdar, S. (2025). Mapping Minds in Motion: A Scholarly Voyage and Evaluation of Research Trends and Patterns in Open Praxis. Open Praxis, 17(1), 1–8. 10.55982/openpraxis.17.1.896
Open DOI Search in Google Scholar Back to article
Bozkurt, A., Xiao, J., Farrow, R., Bai, J. Y. H., Nerantzi, C., Moore, S., Dron, J., Stracke, C. M., Singh, L., Crompton, H., Koutropoulos, A., Terentev, E., Pazurek, A., Nichols, M., Sidorkin, A. M., Costello, E., Watson, S., Mulligan, D., Honeychurch, S., … & Asino, T. I. (2024). The manifesto for teaching and learning in a time of generative AI: A critical collective stance to better navigate the future. Open Praxis, 16(4), 487–513. 10.55982/openpraxis.16.4.777
Open DOI Search in Google Scholar Back to article
Bozkurt, A., & Zawacki-Richter, O. (2021). Trends and patterns in distance Eeducation (2014–2019): A Synthesis of Scholarly Publications and a Visualization of the Intellectual Landscape. The International Review of Research in Open and Distributed Learning, 22(2), 19–45. 10.19173/irrodl.v22i2.5381
Open DOI Search in Google Scholar Back to article
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. 10.1191/1478088706qp063oa
Open DOI Search in Google Scholar Back to article
Braun, V., & Clarke, V. (2012). Thematic analysis. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA handbook of research methods in psychology, Vol. 2. Research designs: Quantitative, qualitative, neuropsychological, and biological (pp. 57–71). American Psychological Association. 10.1037/13620-004
Open DOI Search in Google Scholar Back to article
Brunton, J., & Thomas, J. (2012). Information management in reviews. An introduction to systematic reviews, 83–106.
Search in Google Scholar Back to article
Caines, A. (2022, 29 December). ChatGPT and good intentions in higher ed. Is a liminal space. http://autumm.edtech.fm/2022/12/29/chatgpt-and-good-intentions-in-higher-ed/
Search in Google Scholar Back to article
Carlini, N., Hayes, J., Nasr, M., Jagielski, M., Sehwag, V., Tramèr, F., Balle, B., Ippolito, D., & Wallace, E. (2023). Extracting training data from diffusion models (Version 1). arXiv. 10.48550/ARXIV.2301.13188
Open DOI Search in Google Scholar Back to article
Carlini, N., Tramèr, F., Wallace, E., Jagielski, M., Herbert-Voss, A., Lee, K., Roberts, A., Brown, T., Song, D., Erlingsson, Ú., Oprea, A., & Raffel, C. (2021, August 11–13). Extracting Training Data from Large Language Models. 30th USENIX security symposium (USENIX Security 21) (pp. 2633–2650).
Search in Google Scholar Back to article
Chaudhry, I. S., Sarwary, S. A. M., El Refae, G. A., & Chabchoub, H. (2023). Time to Revisit Existing Student’s Performance Evaluation Approach in Higher Education Sector in a New Era of ChatGPT — A Case Study. Cogent Education, 10(1). 10.1080/2331186X.2023.2210461
Open DOI Search in Google Scholar Back to article
Ciaccio, E. J. (2023). Use of artificial intelligence in scientific paper writing. Informatics in Medicine Unlocked, 41, 101253. 10.1016/j.imu.2023.101253
Open DOI Search in Google Scholar Back to article
Cingillioglu, I. (2023). Detecting AI-generated essays: The ChatGPT challenge. International Journal of Information and Learning Technology, 40(3), 259–268. 10.1108/IJILT-03-2023-0043
Open DOI Search in Google Scholar Back to article
Cong-Lem, N., Soyoof, A., & Tsering, D. (2024). A systematic review of the limitations and associated opportunities of ChatGPT. International Journal of Human–Computer Interaction, 41(7), 3851–3866. 10.1080/10447318.2024.2344142
Open DOI Search in Google Scholar Back to article
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. 10.1080/14703297.2023.2190148
Open DOI Search in Google Scholar Back to article
Crawford, J., Cowling, M., Ashton-Hay, S., Kelder, J.-A., Middleton, R., & Wilson, G. (2023). Artificial intelligence and authorship editor policy: ChatGPT, Bard Bing AI, and beyond. Journal of University Teaching and Learning Practice, 20(5). 10.53761/1.20.5.01
Open DOI Search in Google Scholar Back to article
Cuban, L. (1986) Teachers and Machines: The Classroom Use of Technology Since 1920. New York: Teachers College Press.
Search in Google Scholar Back to article
Curtis, N. (2023). To ChatGPT or not to ChatGPT? The impact of artificial intelligence on academic publishing. Pediatric Infectious Disease Journal, 42(4), 275. 10.1097/INF.0000000000003852
Open DOI Search in Google Scholar Back to article
Day, T. (2023). A preliminary investigation of fake peer-reviewed citations and references generated by ChatGPT. The Professional Geographer, 75(6), 1024–1027. 10.1080/00330124.2023.2190373
Open DOI Search in Google Scholar Back to article
Deebel, N. A., & Terlecki, R. (2023). ChatGPT Performance on the American Urological Association Self-assessment Study Program and the Potential Influence of Artificial Intelligence in Urologic Training. Urology, 177, 29–33. 10.1016/j.urology.2023.05.010
Open DOI Search in Google Scholar Back to article
Dixon-Román, E., Nichols, T. P., & Nyame-Mensah, A. (2020). The racializing forces of/in AI educational technologies. Learning, Media and Technology, 45(3), 236–250. 10.1080/17439884.2020.1667825
Open DOI Search in Google Scholar Back to article
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. 10.1016/j.jbusres.2021.04.070
Open DOI Search in Google Scholar Back to article
Ellaway, R. H., & Tolsgaard, M. (2023). Artificial scholarship: LLMs in health professions education research. Advances in Health Sciences Education, 28(3), 659–664. 10.1007/s10459-023-10257-4
Open DOI Search in Google Scholar Back to article
Emenike, M. E., & Emenike, B. U. (2023). Was This Title Generated by ChatGPT? Considerations for Artificial Intelligence Text-Generation Software Programs for Chemists and Chemistry Educators. Journal of Chemical Education, 100(4), 1413–1418. 10.1021/acs.jchemed.3c00063
Open DOI Search in Google Scholar Back to article
Eysenbach, G. (2023). The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers. JMIR Medical Education, 9, e46885. 10.2196/46885
Open DOI Search in Google Scholar Back to article
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. The FASEB Journal, 22(2), 338–342. 10.1096/fj.07-9492LSF
Open DOI Search in Google Scholar Back to article
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. 10.1080/14703297.2023.2195846
Open DOI Search in Google Scholar Back to article
Fischer, I. (2024). Evaluating the ethics of machines assessing humans. Journal of Information Technology Teaching Cases, 14(2), 273–281. 10.1177/20438869231178844
Open DOI Search in Google Scholar Back to article
Floridi, L., & Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and machines, 30(4), 681–694. 10.1007/s11023-020-09548-1
Open DOI Search in Google Scholar Back to article
Friederichs, H., Friederichs, W. J., & März, M. (2023). ChatGPT in medical school: How successful is AI in progress testing? Medical Education Online, 28(1), 2220920. 10.1080/10872981.2023.2220920
Open DOI Search in Google Scholar Back to article
Friedman, B., & College, C. (1996). Bias in computer systems. ACM Transactions on Information Systems, 14(3), 330–347. 10.1145/230538.230561
Open DOI Search in Google Scholar Back to article
Frith, U. (2020). Fast Lane to Slow Science. Trends in Cognitive Sciences, 24(1), 1–2. 10.1016/j.tics.2019.10.007
Open DOI Search in Google Scholar Back to article
Fuchs, K. (2023). Exploring the opportunities and challenges of NLP models in higher education: Is Chat GPT a blessing or a curse? Frontiers in Education, 8, 1166682. 10.3389/feduc.2023.1166682
Open DOI Search in Google Scholar Back to article
Gallegos, I. O., Rossi, R. A., Barrow, J., Tanjim, M. M., Kim, S., Dernoncourt, F., Yu, T., Zhang, R., & Ahmed, N. K. (2024). Bias and Fairness in Large Language Models: A Survey. Computational Linguistics, 50(3), 1097–1179. 10.1162/coli_a_00524
Open DOI Search in Google Scholar Back to article
Gao, L., Biderman, S., Black, S., Golding, L., Hoppe, T., Foster, C., Phang, J., He, H., Thite, A., Nabeshima, N., Presser, S., & Leahy, C. (2021). The Pile: An 800GB dataset of diverse text for language modeling (Version 1). arXiv. 10.48550/ARXIV.2101.00027
Open DOI Search in Google Scholar Back to article
Garcia, M. B. (2024). Using AI Tools in Writing Peer Review Reports: Should Academic Journals Embrace the Use of ChatGPT? Annals of Biomedical Engineering, 52(2), 139–140. 10.1007/s10439-023-03299-7
Open DOI Search in Google Scholar Back to article
Gašević, D., Siemens, G., & Sadiq, S. (2023). Empowering learners for the age of artificial intelligence. Computers and Education: Artificial Intelligence, 4, 100130. 10.1016/j.caeai.2023.100130
Open DOI Search in Google Scholar Back to article
Gefen, D., & Arinze, O. (Bay). (2023). ChatGPT and usurping academic authority. Journal of Information Technology Case and Application Research, 25(1), 3–9. 10.1080/15228053.2023.2186629
Open DOI Search in Google Scholar Back to article
Gehrmann, S., Strobelt, H., & Rush, A. (2019). GLTR: Statistical Detection and Visualization of Generated Text. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 111–116. 10.18653/v1/P19-3019
Open DOI Search in Google Scholar Back to article
Gentile, M., Città, G., Perna, S., & Allegra, M. (2023). Do we still need teachers? Navigating the paradigm shift of the teacher’s role in the AI era. Frontiers in Education, 8, 1161777. 10.3389/feduc.2023.1161777
Open DOI Search in Google Scholar Back to article
Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023). How does ChatGPT perform on the United States Medical Licensing Examination (USMLE)? The implications of large language models for medical education and knowledge assessment. JMIR Medical Education, 9, e45312. 10.2196/45312
Open DOI Search in Google Scholar Back to article
Golumbia, D. (2022). ChatGPT Should Not Exist. Medium. https://davidgolumbia.medium.com/chatgpt-should-not-exist-aab0867abace
Search in Google Scholar Back to article
Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H. H., Ventura, M., Olney, A., & Louwerse, M. M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavior Research Methods, Instruments, & Computers, 36(2), 180–192. 10.3758/BF03195563
Open DOI Search in Google Scholar Back to article
Guo, Y., Guo, M., Su, J., Yang, Z., Zhu, M., Li, H., Qiu, M., & Liu, S. S. (2024). Bias in large language models: Origin, evaluation, and mitigation (Version 1). arXiv. 10.48550/ARXIV.2411.10915
Open DOI Search in Google Scholar Back to article
Harwood, I., Gapp, R., & Stewart, H. (2015). Cross-Check for completeness: Exploring a novel use of Leximancer in a grounded theory study. The Qualitative Report. 10.46743/2160-3715/2015.2191
Open DOI Search in Google Scholar Back to article
Hodges, C. B., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020, March 27). The difference between emergency remote teaching and online learning. EDUCAUSE Review. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning
Search in Google Scholar Back to article
Howell, B. E., & Potgieter, P. H. (2023). What do telecommunications policy academics have to fear from GPT-3? Telecommunications Policy, 47(7), 102576. 10.1016/j.telpol.2023.102576
Open DOI Search in Google Scholar Back to article
Huh, S. (2023). Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: A descriptive study. Journal of Educational Evaluation for Health Professions, 20, 1. 10.3352/jeehp.2023.20.01
Open DOI Search in Google Scholar Back to article
İpek, Z. H., Gözüm, A. İ. C., Papadakis, S., & Kallogiannakis, M. (2023). Educational applications of the ChatGPT AI system: A systematic review research. Educational Process International Journal, 12(3). 10.22521/edupij.2023.123.2
Open DOI Search in Google Scholar Back to article
Ivanov, S., & Soliman, M. (2023). Game of algorithms: ChatGPT implications for the future of tourism education and research. Journal of Tourism Futures, 9(2), 214–221. 10.1108/JTF-02-2023-0038
Open DOI Search in Google Scholar Back to article
Jensen, L. X., Buhl, A., Sharma, A., & Bearman, M. (2024). Generative AI and higher education: A review of claims from the first months of ChatGPT. Higher Education, 89(4), 1145–1161. 10.1007/s10734-024-01265-3
Open DOI Search in Google Scholar Back to article
Jeon, J., & Lee, S. (2023). Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT. Education and Information Technologies, 28(12), 15873–15892. 10.1007/s10639-023-11834-1
Open DOI Search in Google Scholar Back to article
Jiang, H. H., Brown, L., Cheng, J., Khan, M., Gupta, A., Workman, D., Hanna, A., Flowers, J., & Gebru, T. (2023). AI Art and its impact on artists. Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 363–374. 10.1145/3600211.3604681
Open DOI Search in Google Scholar Back to article
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … & Kasneci, G. (2023). ChatGPT for Good? On opportunities and challenges of large language models for education. EdArXiv. 10.35542/osf.io/5er8f
Open DOI Search in Google Scholar Back to article
Keiper, M. C., Fried, G., Lupinek, J., & Nordstrom, H. (2023). Artificial intelligence in sport management education: Playing the AI game with ChatGPT. Journal of Hospitality, Leisure, Sport & Tourism Education, 33, 100456. 10.1016/j.jhlste.2023.100456
Open DOI Search in Google Scholar Back to article
Khademi, A. (2023). Can ChatGPT and Bard generate aligned assessment items? A reliability analysis against human performance. Journal of Applied Learning and Teaching, 6(1), 75–80. 10.37074/jalt.2023.6.1.28
Open DOI Search in Google Scholar Back to article
Khan, R. A., Jawaid, M., Khan A. R., & Sajjad M. (2023). ChatGPT-Reshaping medical education and clinical management. Pakistan Journal of Medical Sciences, 39(2), 605–607. 10.12669/pjms.39.2.7653
Open DOI Search in Google Scholar Back to article
Kim, J. K., Chua, M., Rickard, M., & Lorenzo, A. (2023). ChatGPT and large language model (LLM) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine. Journal of Pediatric Urology, 19(5), 598–604. 10.1016/j.jpurol.2023.05.018
Open DOI Search in Google Scholar Back to article
Koga, S. (2023). The Potential of ChatGPT in Medical Education: Focusing on USMLE Preparation. Annals of Biomedical Engineering, 51(10), 2123–2124. 10.1007/s10439-023-03253-7
Open DOI Search in Google Scholar Back to article
Kooli, C. (2023). Chatbots in Education and Research: A Critical Examination of Ethical Implications and Solutions. Sustainability, 15(7), 5614. 10.3390/su15075614
Open DOI Search in Google Scholar Back to article
Kornbluh, A. (2024) Immediacy. Or, the Style of Too Late Capitalism. London: Verso.
Search in Google Scholar Back to article
Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage Publications.
Search in Google Scholar Back to article
Labaree, D. F. (1998). Educational Researchers: Living with a Lesser Form of Knowledge. Educational Researcher, 27(8), 4. 10.2307/1177111
Open DOI Search in Google Scholar Back to article
Labbé, C., & Labbé, D. (2013). Duplicate and fake publications in the scientific literature: How many SCIgen papers in computer science? Scientometrics, 94(1), 379–396. 10.1007/s11192-012-0781-y
Open DOI Search in Google Scholar Back to article
Lawrie, G. (2023). Establishing a delicate balance in the relationship between artificial intelligence and authentic assessment in student learning. Chemistry Education Research and Practice, 24(2), 392–393. 10.1039/D3RP90003G
Open DOI Search in Google Scholar Back to article
Lee, J. Y. (2023). Can an artificial intelligence chatbot be the author of a scholarly article? Science Editing, 10(1), 7–12. 10.6087/kcse.292
Open DOI Search in Google Scholar Back to article
Lee, Y., Driscoll, M. P., & Nelson, D. W. (2004). The Past, Present, and Future of Research in Distance Education: Results of a Content Analysis. American Journal of Distance Education, 18(4), 225–241. 10.1207/s15389286ajde1804_4
Open DOI Search in Google Scholar Back to article
Leximancer user guide: Release 4.5. https://static1.squarespace.com/static/5e26633cfcf7d67bbd350a7f/t/60682893c386f915f4b05e43/1617438916753/Leximancer+User+Guide+4.5.pdf
Search in Google Scholar Back to article
Limo, F. A. F., Tiza, D. R. H., Roque, M. M., Herrera, E. E., Murillo, J. P. M., Huallpa, J. J., Flores, V. A. A., Castillo, A. G. R., Peña, P. F. P., Carranza, C. P. M., & Gonzáles J. L. A. (2023). Personalized tutoring: ChatGPT as a virtual tutor for personalized learning experiences. Przestrzen Spoleczna, 23(1), 292–312.
Search in Google Scholar Back to article
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. 10.3390/educsci13040410
Open DOI Search in Google Scholar Back to article
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26–29. 10.1108/LHTN-01-2023-0009
Open DOI Search in Google Scholar Back to article
Macgilchrist, F. (2021). What is ‘critical’ in critical studies of edtech? Three responses. Learning, Media and Technology, 46(3), 243–249. 10.1080/17439884.2021.1958843
Open DOI Search in Google Scholar Back to article
Macgilchrist, F. (2024). Technology, Activism and Living among Planetary Ruins. In H. Kminek, M. Singer-Brodowski, & V. Holz (Eds.), Bildung für eine nachhaltige Entwicklung im Umbruch?: Beiträge zur Theorieentwicklung angesichts ökologischer, gesellschaftlicher und individueller Umbrüche (pp. 79–102). Verlag Barbara Budrich. 10.2307/jj.12949129.7
Open DOI Search in Google Scholar Back to article
Markov, T., Zhang, C., Agarwal, S., Nekoul, F. E., Lee, T., Adler, S., … & Weng, L. (2023, June). A holistic approach to undesired content detection in the real world. Proceedings of the AAAI Conference on Artificial Intelligence, 37, 12, 15009–15018. 10.1609/aaai.v37i12.26752
Open DOI Search in Google Scholar Back to article
Marquez, R., Barrios, N., Vera, R. E., Mendez, M. E., Tolosa, L., Zambrano, F., & Li, Y. (2023). A perspective on the synergistic potential of artificial intelligence and product-based learning strategies in biobased materials education. Education for Chemical Engineers, 44, 164–180. 10.1016/j.ece.2023.05.005
Open DOI Search in Google Scholar Back to article
Masters, K. (2023). Medical Teacher’s first ChatGPT’s referencing hallucinations: Lessons for editors, reviewers, and teachers. Medical Teacher, 45(7), 673–675. 10.1080/0142159X.2023.2208731
Open DOI Search in Google Scholar Back to article
Miao, H., & Ahn, H. (2023). Impact of ChatGPT on interdisciplinary nursing education and research. Asian/Pacific Island Nursing Journal, 7, e48136. 10.2196/48136
Open DOI Search in Google Scholar Back to article
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7), e1000097. 10.1371/journal.pmed.1000097
Open DOI Search in Google Scholar Back to article
Montenegro-Rueda, M., Fernández-Cerero, J., Fernández-Batanero, J. M., & López-Meneses, E. (2023). Impact of the implementation of ChatGPT in education: A systematic review. Computers, 12(8), 153. 10.3390/computers12080153
Open DOI Search in Google Scholar Back to article
Muldoon, J., Cant, C., Graham, M., & Ustek Spilda, F. (2023). The poverty of ethical AI: Impact sourcing and AI supply chains. AI & SOCIETY. 10.1007/s00146-023-01824-9
Open DOI Search in Google Scholar Back to article
Nichols, T. P., Logan, C., & Garcia, A. (2025). Generative AI and the (Re)turn to Luddism. Learning, Media and Technology, 1–14. 10.1080/17439884.2025.2452199
Open DOI Search in Google Scholar Back to article
O’Connor, S. (2023). Corrigendum to “Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse?”. Nurse Education in Practice, 67, 103572. 10.1016/j.nepr.2023.103572
Open DOI Search in Google Scholar Back to article
Oh, N., Choi, G.-S., & Lee, W. Y. (2023). ChatGPT goes to the operating room: Evaluating GPT-4 performance and its potential in surgical education and training in the era of large language models. Annals of Surgical Treatment and Research, 104(5), 269–273. 10.4174/astr.2023.104.5.269
Open DOI Search in Google Scholar Back to article
Page, E. (1966). The imminence of… grading essays by computer. The Phi Delta Kappan, 47(5), 238–243.
Search in Google Scholar Back to article
Pappano, L. (2012, November 2). The Year of the MOOC. https://www.nytimes.com/2012/11/04/education/edlife/massive-open-online-courses-are-multiplying-at-a-rapid-pace.html
Search in Google Scholar Back to article
Perelman, L. (2020). The BABEL generator and E-Rater: 21st Century writing constructs and automated essay scoring (AES). Journal of Writing Assessment, 13, 1–9.
Search in Google Scholar Back to article
Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. (2023). On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice. International Journal of Research in Marketing, 40(2), 269–275. 10.1016/j.ijresmar.2023.03.001
Open DOI Search in Google Scholar Back to article
Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2). 10.53761/1.20.02.07
Open DOI Search in Google Scholar Back to article
Prinsloo, P. (2024, October 21). Research in Open Distance Learning in Complex, Changing Times [Wordpress]. Open Distance Teaching and Learning. https://opendistanceteachingandlearning.wordpress.com/2024/10/21/research-in-open-distance-learning-in-complex-changing-times/
Search in Google Scholar Back to article
Rasul, T., Nair, S., Kalendra, D., Robin, M., de Oliviera Santini, F., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heatchcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning & Teaching, 6(1). 10.37074/jalt.2023.6.1.29
Open DOI Search in Google Scholar Back to article
Rudolph, J., Tan, S., & Tan, S. (2023a). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342–363. 10.37074/jalt.2023.6.1.9
Open DOI Search in Google Scholar Back to article
Rudolph, J., Tan, S., & Tan, S. (2023b). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning & Teaching, 6(1). 10.37074/jalt.2023.6.1.23
Open DOI Search in Google Scholar Back to article
Quintans-Júnior, L. J., Gurgel, R. Q., Araújo, A. A. D. S., Correia, D., & Martins-Filho, P. R. (2023). ChatGPT: The new panacea of the academic world. Revista Da Sociedade Brasileira de Medicina Tropical, 56, e0060–2023. 10.1590/0037-8682-0060-2023
Open DOI Search in Google Scholar Back to article
Rahimi, F., & Talebi Bezmin Abadi, A. (2023). Passive contribution of ChatGPT to scientific papers. Annals of Biomedical Engineering, 51(11), 2340–2350. 10.1007/s10439-023-03260-8
Open DOI Search in Google Scholar Back to article
Raman, R., Lathabhai, H., Diwakar, S., & Nedungadi, P. (2023). Early Research Trends on ChatGPT: Insights from Altmetrics and Science Mapping Analysis. International Journal of Emerging Technologies in Learning, 18(19), 13–31. 10.3991/ijet.v18i19.41793
Open DOI Search in Google Scholar Back to article
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121–154. 10.1016/j.iotcps.2023.04.003
Open DOI Search in Google Scholar Back to article
Rybinski, K., & Kopciuszewska, E. (2021). Will artificial intelligence revolutionise the student evaluation of teaching? A big data study of 1.6 million student reviews. Assessment & Evaluation in Higher Education, 46(7), 1127–1139. 10.1080/02602938.2020.1844866
Open DOI Search in Google Scholar Back to article
Sánchez-Ruiz, L. M., Moll-López, S., Nuñez-Pérez, A., Moraño-Fernández, J. A., & Vega-Fleitas, E. (2023). ChatGPT challenges blended learning methodologies in engineering education: A case study in Mathematics. Applied Sciences, 13(10), 6039. 10.3390/app13106039
Open DOI Search in Google Scholar Back to article
Schotten, M., El Aisati, M., Meester, W. J. N., Steiginga, S., & Ross, C. A. (2017). A Brief History of Scopus: The World’s Largest Abstract and Citation Database of Scientific Literature. In F. J. Cantú-Ortiz (Ed.), Research Analytics (1st ed., pp. 31–58). Auerbach Publications. 10.1201/9781315155890-3
Open DOI Search in Google Scholar Back to article
Seetharaman, R. (2023). Revolutionizing Medical Education: Can ChatGPT Boost Subjective Learning and Expression? Journal of Medical Systems, 47(1), 61. 10.1007/s10916-023-01957-w
Open DOI Search in Google Scholar Back to article
Selwyn, N. (2014). Digital Technology and the Contemporary University: Degrees of digitization. Routledge. 10.4324/9781315768656
Open DOI Search in Google Scholar Back to article
Singh, H., & Singh, A. (2023). ChatGPT: Systematic Review, Applications, and Agenda for Multidisciplinary Research. Journal of Chinese Economic and Business Studies, 21(2), 193–212. 10.1080/14765284.2023.2210482
Open DOI Search in Google Scholar Back to article
Srinivas, S., & Rajendran, S. (2019). Topic-based knowledge mining of online student reviews for strategic planning in universities. Computers & Industrial Engineering, 128, 974–984. 10.1016/j.cie.2018.06.034
Open DOI Search in Google Scholar Back to article
Susnjak, T., & McIntosh, T. (2024). ChatGPT: The End of Online Exam Integrity? Education Sciences, 14(6), 656. 10.3390/educsci14060656
Open DOI Search in Google Scholar Back to article
Teixeira Da Silva, J. A., & Tsigaris, P. (2023). Human- and AI -based authorship: Principles and ethics. Learned Publishing, 36(3), 453–462. 10.1002/leap.1547
Open DOI Search in Google Scholar Back to article
Thakur, A., Parikh, D., & Thakur, A. (2023). ChatGPT in nursing education: Is there a role for curriculum development? Teaching and Learning in Nursing, 18(3), 450–451. 10.1016/j.teln.2023.03.011
Open DOI Search in Google Scholar Back to article
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. 10.1186/s40561-023-00237-x
Open DOI Search in Google Scholar Back to article
Tucker, E. (2022, March 8). Artifice and intelligence. Center on Privacy &Technology, Medium. https://medium.com/center-on-privacytechnology/artifice-and-intelligence%C2%B9-f00da128d3cd
Search in Google Scholar Back to article
Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. 10.1007/s11192-009-0146-3
Open DOI Search in Google Scholar Back to article
VanLehn, K. (2011). The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist, 46(4), 197–221. 10.1080/00461520.2011.611369
Open DOI Search in Google Scholar Back to article
Vasconcelos, M. A. R., & Dos Santos, R. P. (2023). Enhancing STEM learning with ChatGPT and Bing Chat as objects to think with: A case study. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2296. 10.29333/ejmste/13313
Open DOI Search in Google Scholar Back to article
Watters, A. (2021). Teaching Machines. The History of Personalized Learning. Cambridge, MA: MIT Press. https://mitpress.mit.edu/books/teaching-machines. 10.7551/mitpress/12262.001.0001
Open DOI Search in Google Scholar Back to article
Webley, K. (2012, September 4). MOOC Brigade: Will Massive, Open Online Courses Revolutionize Higher Education? TIME. https://nation.time.com/2012/09/04/mooc-brigade-will-massive-open-online-courses-revolutionize-higher-education/
Search in Google Scholar Back to article
Weidlich, J., Gasevic, D., Drachsler, H., & Kirschner, P. (2025). ChatGPT in education: An effect in search of a cause. PsyArXiv. 10.31234/osf.io/t6uzy_v2
Open DOI Search in Google Scholar Back to article
Weller, M. (2020). 25 Years of Ed Tech. Athabasca University Press. 10.15215/aupress/9781771993050.002
Open DOI Search in Google Scholar Back to article
Williamson, B. (2023, 30 June). Degenerative AI in Education. https://codeactsineducation.wordpress.com/2023/06/30/degenerative-ai-in-education/
Search in Google Scholar Back to article
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. 10.1080/17439884.2020.1798995
Open DOI Search in Google Scholar Back to article
Williamson, B., Macgilchrist, F., & Potter, J. (2023). Re-examining AI, automation and datafication in education. Learning, Media and Technology, 48(1), 1–5. 10.1080/17439884.2023.2167830
Open DOI Search in Google Scholar Back to article
Williamson, B., Macgilchrist, F., & Potter, J. (2024). Against contextlessness in Learning, Media and Technology. Learning, Media and Technology, 49(3), 335–338. 10.1080/17439884.2024.2374266
Open DOI Search in Google Scholar Back to article
Wu, C.-J., Raghavendra, R., Gupta, U., Acun, B., Ardalani, N., Maeng, K., Chang, G., Aga, F., Huang, J., Bai, C., Gschwind, M., Gupta, A., Ott, M., Melnikov, A., Candido, S., Brooks, D., Chauhan, G., Lee, B., Lee, H.-H., … & Hazelwood, K. (2022). Sustainable AI: Environmental implications, challenges and opportunities. In D. Marculescu, Y. Chi, & C. Wu (Eds.), Proceedings of Machine Learning and Systems (Vol. 4, pp. 795–813). https://proceedings.mlsys.org/paper_files/paper/2022/file/462211f67c7d858f663355eff93b745e-Paper.pdf
Search in Google Scholar Back to article
Wu, R., & Yu, Z. (2024). Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis. British Journal of Educational Technology, 55(1), 10–33. 10.1111/bjet.13334
Open DOI Search in Google Scholar Back to article
Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q.-L., & Tang, Y. (2023). A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development. IEEE/CAA Journal of Automatica Sinica, 10(5), 1122–1136. 10.1109/JAS.2023.123618
Open DOI Search in Google Scholar Back to article
Xiao, J., Bozkurt, A., Nichols, M., Pazurek, A., Stracke, C. M., Bai, J. Y. H., Farrow, R., Mulligan, D., Nerantzi, C., Sharma, R. C., Singh, L., Frumin, I., Swindell, A., Honeychurch, S., Bond, M., Dron, J., Moore, S., Leng, J., Van Tryon, P. J. S., … & Themeli, C. (2025). Venturing into the unknown: Critical insights into grey areas and pioneering future directions in educational generative AI research. TechTrends. 10.1007/s11528-025-01060-6
Open DOI Search in Google Scholar Back to article
Yang, J., Por, L. Y., Leong, M. C., & Ku, C. S. (2023). The Potential of ChatGPT in Assisting Children with Down Syndrome. Annals of Biomedical Engineering, 51(12), 2638–2640. 10.1007/s10439-023-03281-3
Open DOI Search in Google Scholar Back to article
Yatoo, M. A., & Habib, F. (2023). ChatGPT, a friend or a foe?: Integration of artificial intelligence-enabled chatbots in academic research. MRS Bulletin, 48(4), 310–313. 10.1557/s43577-023-00520-9
Open DOI Search in Google Scholar Back to article
Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023). The effect of generative artificial intelligence (AI)-based tool use on students’ computational thinking skills, programming self-efficacy and motivation. Computers and Education: Artificial Intelligence, 4, 100147. 10.1016/j.caeai.2023.100147
Open DOI Search in Google Scholar Back to article
Yu, H. (2023). Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14, 1181712. 10.3389/fpsyg.2023.1181712
Open DOI Search in Google Scholar Back to article
Yu, H., & Guo, Y. (2023). Generative artificial intelligence empowers educational reform: Current status, issues, and prospects. Frontiers in Education, 8, 1183162. 10.3389/feduc.2023.1183162
Open DOI Search in Google Scholar Back to article
Zawacki-Richter, O., & Bozkurt, A. (2023). Research trends in open, distance, and digital education. In O. Zawacki-Richter & I. Jung (Eds.), Handbook of open, distance and digital education (pp. 199–220). Springer Nature Singapore. 10.1007/978-981-19-2080-6_12
Open DOI Search in Google Scholar Back to article
Zawacki-Richter, O., Bozkurt, A., Alturki, U., & Aldraiweesh, A. (2018). What research says about MOOCs – An explorative content analysis. The International Review of Research in Open and Distributed Learning, 19(1). 10.19173/irrodl.v19i1.3356
Open DOI Search in Google Scholar Back to article
Zawacki-Richter, O., & Latchem, C. (2018). Exploring four decades of research in Computers & Education. Computers & Education, 122, 136–152. 10.1016/j.compedu.2018.04.001
Open DOI Search in Google Scholar Back to article
Zawacki-Richter, O., & Naidu, S. (2016). Mapping research trends from 35 years of publications in Distance Education. Distance Education, 37(3), 245–269. 10.1080/01587919.2016.1185079
Open DOI Search in Google Scholar Back to article
Zhang, P., & Tur, G. (2024). A systematic review of ChatGPT use in K-12 education. European Journal of Education, 59(2), e12599. 10.1111/ejed.12599
Open DOI Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.55982/openpraxis.17.2.872 | Journal eISSN: 2304-070X

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Language: English

Page range: 227 - 250

Submitted on: Mar 18, 2025

Accepted on: Jun 9, 2025

Published on: Jul 10, 2025

Published by: International Council for Open and Distance Education (ICDE)

In partnership with: Paradigm Publishing Services

Keywords:

ChatGPT,

large language models,

generative artificial intelligence,

ODDE,

educational technology

© 2025 Berrin Cefa, Felicitas Macgilchrist, Hebatullah ElGamal, John Y. H. Bai, Olaf Zawacki-Richter, Frank S. Loglo, published by International Council for Open and Distance Education (ICDE)
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 17 (2025): Issue 2