Journals / İZÜ Eğitim Dergisi / 2026 / Cilt: 8 Sayı: 1

The Use Of ChatGPT in Mathematics Tasks and Pre-Service Teachers' Experiences

ChatGPT’ nin Matematik Görevlerinde Kullanımı ve Öğretmen Adaylarının Deneyimleri

Tuba Öz(ATATÜRK ÜNİVERSİTESİ)0000-0003-0536-9360
Orhan Çiftci(TC MİLLİ EĞİTİM BAKANLIĞI ERZURUM)0000-0002-5969-9464
Pages
1–26
Publication Date
2026-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the results of the study, while the prompts created by the pre-service teachers in ChatGPT showed a great variety, most of the pre-service teachers created prompts in ChatGPT by writing the entire task.

📌 3 Key Takeaways

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Objective & Hypothesis:The Use Of ChatGPT in Mathematics Tasks and Pre-Service Teachers' Experiences Zeynep ÇİFTCİ Tuba ÖZ Orhan ÇİFTCİ Abstract: This study focuses on determining how pre-service teachers create prompts when using ChatGPT to solve mathematics tasks, the accuracy of the answers of pre-service teachers and ChatGPT, and the opinions of pre-service teachers about ChatGPT.
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Key Findings & Data:The potential of ChatGPT to be used in education is interesting because large language models such as ChatGPT inherently provide different answers to each user in line with the prompts entered and these answers carry the risk of being inaccurate.
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Conclusion & Impact:According to the results of the study, while the prompts created by the pre-service teachers in ChatGPT showed a great variety, most of the pre-service teachers created prompts in ChatGPT by writing the entire task.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:ChatGPT · Chatbot · OPenAI

Abstract

The Use Of ChatGPT in Mathematics Tasks and Pre-Service Teachers' Experiences Zeynep ÇİFTCİ Tuba ÖZ Orhan ÇİFTCİ Abstract: This study focuses on determining how pre-service teachers create prompts when using ChatGPT to solve mathematics tasks, the accuracy of the answers of pre-service teachers and ChatGPT, and the opinions of pre-service teachers about ChatGPT. The potential of ChatGPT to be used in education is interesting because large language models such as ChatGPT inherently provide different answers to each user in line with the prompts entered and these answers carry the risk of being inaccurate. This study is thought to contribute to the expanding literature on whether ChatGPT can be used in the field of mathematics education. 32 pre-service teachers were asked to complete two distinct mathematical tasks with the support of ChatGPT. ChatGPT chats, task solutions, and opinion forms of pre-service teachers were analyzed using qualitative content analysis. According to the results of the study, while the prompts created by the pre-service teachers in ChatGPT showed a great variety, most of the pre-service teachers created prompts in ChatGPT by writing the entire task. It was concluded that although the ChatGPT answers were correct at an acceptable level in algebra, they were incorrect at a very high rate in geometry. Among the opinions of pre-service teachers about ChatGPT, quick access to information and feedback, sufficient explanatory information, lack of figures and visuals, inconsistent information, and being deficient in the field of mathematics come to the fore. Keywords: ChatGPT, Chatbot, OPenAI, Mathematics Education, AIEd, Artificial Intelligence

Özet

ChatGPT’ nin Matematik Görevlerinde Kullanımı ve Öğretmen Adaylarının Deneyimleri Zeynep ÇİFTCİ Tuba ÖZ Orhan ÇİFTCİ Öz: Bu çalışma, öğretmen adaylarının matematik görevlerini çözümünde ChatGPT kullanırken nasıl istem oluşturduklarını, öğretmen adaylarının ve ChatGPT’nin cevaplarının doğruluğunu ve öğretmen adaylarının ChatGPT ile ilgili görüşlerini belirlemeye odaklanmaktadır. ChatGPT gibi büyük dil modelleri doğası gereği her kullanıcıya girilen istemler doğrultusunda farklı cevaplar sunması ve bu cevapların hatalı olma riski taşıması nedeniyle ChatGPT’nin eğitimde kullanılma potansiyeli ilgi çekicidir. Bu çalışma ile ChatGPT’nin matematik eğitimi alanında kullanılıp kullanılamayacağı konusunda genişleyen literatüre katkı sağlayacağı düşünülmektedir. 32 öğretmen adayından ChatGPT yardımıyla iki farklı matematik görevini çözmeleri istenmiştir. Öğretmen adaylarının ChatGPT sohbetleri, görev çözümleri ve görüş formları nitel içerik analizi kullanılarak analiz edilmiştir. Araştırmanın sonuçlarına göre öğretmen adaylarının ChatGPTde oluşturdukları istemler büyük bir çeşitlilik gösterirken öğretmen adaylarının çoğu görevin tamamını yazarak ChatGPTde istem oluşturmuşlardır. ChatGPT cevaplarının cebir alanında kabul edilebilir düzeyde doğru olmasına karşın geometri alanında oldukça yüksek oranda yanlış olduğu sonucuna ulaşılmıştır. Öğretmen adaylarının ChatGPT hakkındaki görüşlerinden bilgiye hızlı erişim, geri dönüt, yeterli düzeyde açıklayıcı bilgi sağlama, şekil ve görsel eksikliği, tutarsız bilgi vermesi ve matematik alanında eksik olması öne çıkmaktadır. Anahtar kelimeler: ChatGPT, Chatbot, OPenAI, Matematics Education, AIEd, Artifical intelligence

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Cite This Article

Çiftci, Z., Öz, T., Çiftci, O. (2026). The Use Of ChatGPT in Mathematics Tasks and Pre-Service Teachers' Experiences. İZÜ Eğitim Dergisi, Cilt: 8 Sayı: 1, 1–26. https://doi.org/10.46423/izujed.1793325

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References (83)

  1. Alabool, H. M. (2023). ChatGPT in Education: SWOT analysis approach. 2023 International Conference on Information Technology (ICIT), Jordan, 184-189. https://ieeexplore.ieee.org/document/10225801
  2. Adeshola, I., & Adepoju, A. P. (2023). The opportunities and challenges of chatGPT in education. Interactive Learning Environments, 1-14. https://doi.org/10.1080/10494820.2023.2253858
  3. Adetayo, A. J. (2023). Artificial intelligence chatbots in academic libraries: The rise of ChatGPT. Library Hi Tech News, 40(3). https://doi.org/10.1108/LHTN-01-2023-0007
  4. Anega, N. M., & Alemu, B. (2023). The effect of rural roads on consumption in Ethiopia. Journal of Economics and Development, 25(3). https://doi.org/10.1108/JED-10-2022-0213
  5. Aruleba, K., Sanusi, I. T., Obaido, G., & Ogbuokiri, B. (2023). Integrating ChatGPT in a computer sci ence course: Students perceptions and suggestions. arXiv preprint, arXiv:2402.01640, 1–13. https://doi.org/10.48550/arXiv.2402.01640
  6. Arif, T. B., Munaf, U., & Ul-Haque, I. (2023). The future of medical education and research: Is ChatGPT a blessing or blight in disguise? Medical Education Online, 28(1): 2181052. https://doi.org/10.1080/10872981.2023.2181052
  7. Asare, B., Arthur, Y. D., & Boateng, F. O. (2023). Exploring the impact of ChatGPT on mathematics performance: The influential role of student interest. Education Science and Management, 1(3), 158-168. https://doi.org/10.56578/esm010304
  8. Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI. https://digitalcommons.uri.edu/cba_facpubs/548
  9. Bengio, Y., Lecun, Y., & Hinton, G. (2021). Deep learning for AI. Communications of the ACM, 64(7), 58-65. https://doi.org/10.1145/3448250
  10. Bozkurt, A. (2023). ChatGPT, generative artificial intelligence and algorithmic paradigm shift Journal Critical Reviews in Educational Sciences, 4(1), 63-72. https://doi.org/10.59320/alanyazin.1283282
  11. Caldarini, G., Jaf, S., & McGarry, K. (2022). A literature survey of recent advances in chatbots. Information, 13(41), 2-22. https://doi.org/10.3390/info13010041
  12. Castrillón, O. D., Sarache, W., & Ruiz-Herrera, S. (2020). Prediction of academic performance using artificial intelligence techniques. University Education, 13(1), 93–102. https://doi.org/10.4067/s0718-50062020000100093
  13. Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3
  14. Chan, C. K. Y., & Hu, W. (2023). Students' voices on generative AI: Perceptions, benefits, and challenges in higher education. ArXiv preprint arXiv:2305.00290. https://doi.org/10.48550/arXiv.2305.00290
  15. Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16-24. https://doi.org/10.1016/j.procs.2018.08.233
  16. Chen, C. J., & Liu, P. L. (2007). Personalized computer-assisted mathematics problem-solving program and its impact on Taiwanese students. Journal of Computers in Mathematics and Science Teaching, 26(2), 105-121.
  17. Choudhury, A., & Shamszare, H. (2023). Investigating the impact of user trust on the adoption and use of ChatGPT: Survey analysis. Journal of Medical Internet Research, 25. https://doi.org/10.2196/47184
  18. Cristianini, N. (2016). Intelligence reinvented. New Scientist, 232(3097), 37-41. https://doi.org/10.1016/S0262-4079(16)31992-3
  19. Contact North. (2018). Ten facts about artificial intelligence in teaching and learning. https://teachonline.ca/sites/default/files/tools-trends/downloads/ten_facts_about_artificial_intelligence.pdf
  20. Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229–1245. https://doi.org/10.1080/00131857.2020.1728732
  21. Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1-22. https://doi.org/10.1186/s41239-023-00392-8
  22. Dempere, J., Modugu, K. P., Hesham, A., & Ramasamy, L. (2023). The impact of ChatGPT on higher education. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1206936
  23. Dowling, M., & Lucey, B. (2023). ChatGPT for (finance) research: The Bananarama conjecture, Finance Research Letters, 53, 103662. https://doi.org/10.1016/j.frl.2023.103662
  24. Dwivedi, Y.K., Kshetri, N., Hughes, L., Slade, E.L., Jeyaraj, A., Kar, A.K., Baabdullah, A.M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M.A., Al-Busaidi, A.S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D.,. Wright, R. (2023). So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 53. https://doi.org/10.1016/j.ijinfomgt.2023.102642
  25. Domenech, J. (2023). ChatGPT in the classroom: friend or foe? 9th International Conference on Higher Education Advances (HEAd’23), València, 339-347. http://dx.doi.org/10.4995/HEAd23.2023.16179
  26. Duh, H.I., & Dabula, N. (2021). Millennials’ socio-psychology and blood donation intention developed from social media communications: A survey of university students. Telematics and Informatics, 58. https://doi.org/10.1016/j.tele.2020.101534
  27. Duong, C. D., Bui, D. T., Pham, H. T., & Vu, A. T. (2023). How effort expectancy and performance expectancy interact to trigger higher education students’ uses of ChatGPT for learning. Interactive Technology and Smart Education, (ahead-of-print). https://doi.org/10.1108/ITSE-05-2023-0096
  28. Eke, D. O. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity?. Journal of Responsible Technology, 13. https://doi.org/10.1016/j.jrt.2023.100060
  29. Essel, H. B., Vlachopoulos, D., Tachie-Menson, A., Johnson, E. E., & Baah, P. K. (2022). The impact of a virtual teaching assistant (chatbot) on students' learning in Ghanaian higher education. International Journal of Educational Technology in Higher Education, 19(1), 1-19. https://doi.org/10.1186/s41239-022-00362-6
  30. Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 1-15. https://doi.org/10.1080/14703297.2023.2195846
  31. Frieder, S., Pinchetti, L., Griffiths, R.R., Salvatori, T., Lukasiewicz, T., Petersen, P.C., Chevalier, A., & Berner, J. (2023). Mathematical capabilities of ChatGPT. ArXiv preprint arXiv:2301.13867. https://doi.org/10.48550/arXiv.2301.13867
  32. Getenet, S. (2024). Pre-Service Teachers and ChatGPT in Multistrategy Problem-Solving: Implications for Mathematics Teaching in Primary Schools. International Electronic Journal of Mathematics Education, 19(1). https://doi.org/10.29333/iejme/14141
  33. 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? The implications of large language models for medical education and knowledge assessment. JMIR Medical Education, 9(1). https://doi.org/10.2196/45312
  34. Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692
  35. Hwang, G. J., Hung, P. H., Chen, N. S., & Liu, G. Z. (2014). Mindtool-assisted in-field learning (MAIL): An advanced ubiquitous learning project in Taiwan. Journal of Educational Technology & Society, 17(2), 4-16.
  36. Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001.https://doi.org/10.1016/j.caeai.2020.100001
  37. Hwang, G. J., & Tu, Y. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
  38. Jia, J., Wang, T., Zhang, Y., & Wang, G. (2024). The comparison of general tips for mathematical problem solving generated by generative AI with those generated by human teachers. Asia Pacific Journal of Education, 44(1), 8-28. https://doi.org/10.1080/02188791.2023.2286920
  39. 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. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
  40. Khurma, O. A., Albahti, F., Ali, N., & Bustanji, A. (2024). AI ChatGPT and student engagement: Unraveling dimensions through PRISMA analysis for enhanced learning experiences. Contemporary Educational Technology, 16(2). https://doi.org/10.30935/cedtech/14334
  41. Khurma, O. A., Ali, N., & Hashem, R. (2023). Critical reflections on CHATGPT in UAE education: Navigating equity and governance for safe and effective use. International Journal of Emerging Technologies in Learning, 18(14), 188-199. https://doi.org/10.3991/ijet.v18i14.40935
  42. Kuprenko, V. (2020, January 31). Artificial intelligence in education: Benefits, challenges, and use cases. https://pub.towardsai.net/artificial-intelligence-in-education-benefits-challenges-and-use-cases-db52d8921f7a
  43. Luckin, R. (2017). Towards artificial intelligence-based assessment systems. Nature Human Behaviour, 1, 0028. https://doi.org/10.1038/s41562-016-0028
  44. McKinsey Consultant. (2023, January 19). What is generative AI?. https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai
  45. Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Education Sciences, 13(9), 856. https://doi.org/10.3390/educsci13090856
  46. Mhlanga, D. (2023, February 11). Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. SSRN. http://dx.doi.org/10.2139/ssrn.4354422
  47. Mrabet, J., & Studholme, R. (2023). ChatGPT: A friend or a foe?. 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), United Arab Emirates, 269-274. https://ieeexplore.ieee.org/document/10131713
  48. Muhie, Y. A., & Woldie, A. B. (2020). Integration of artificial intelligence technologies in teaching and learning in higher education. Science and Technology, 10(1), 1-7. http://dx.doi.org/10.5923/j.scit.202001001.01
  49. Murphy, R. F. (2019). Artificial intelligence applications to support K-12 teachers and teaching: a review of promising applications, opportunities, and challenges. Rand Corporation. https://www.jstor.org/stable/resrep19907?seq=15
  50. Nautiyal, R., Albrecht, J. N., & Nautiyal, A. (2023). ChatGPT and tourism academia. Annals of Tourism Research, 99. https://doi.org/10.1016/j.annals.2023.103544 Noe, R. A. (2009). Employee training and development. McGraw Hill.
  51. Noster, N., Gerber, S., & Siller, H. S. (2024). Pre-Service Teachers ‘Approaches in Solving Mathematics Tasks with ChatGPT–A Qualitative Analysis of the Current Status Quo, 4 April 2024, preprint, aveilable at Research Square. https://doi.org/10.21203/rs.3.rs-4182920/v1
  52. Ocaña-Fernández, Y., Valenzuela-Fernández, L. A., & Garro-Aburto, L. L. (2019). Artificial intelligence and its implications in higher education. Journal of Educational Psychology-Propositos y Representaciones, 7 (2), 553-568. http://dx.doi.org/10.20511/pyr2019.v7n2.274
  53. Ouyang, F., Zheng, L. & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 27, 7893–7925. https://doi.org/10.1007/s10639-022-10925-9
  54. Qadir, J. (2022). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. TechRxiv. https://doi.org/10.36227/techrxiv.21789434.v1
  55. Qi, X., Zhu, Z., & Wu, B. (2023). The promise and peril of ChatGPT in geriatric nursing education: what we know and do not know. Aging and Health Research, 3,2. https://doi.org/10.1016/j.ahr.2023.100136
  56. OpenAI. (2022, November 30). Introducing ChatGPT https://openai.com/blog/chatgpt/
  57. OpenAI. (2024, March 30). Prompt engineering https://platform.openai.com/docs/guides/prompt-engineering
  58. Owens, B. (2023, February 20). How Nature readers are using ChatGPT. Nature, 615 (7950), 20. https://doi.org/10.1038/d41586-023-00500-8
  59. Pavlova, N. H. (2024). Flipped dialogic learning method with ChatGPT: A case study. International Electronic Journal of Mathematics Education, 19(1), em0764.https://doi.org/10.29333/iejme/14025
  60. Pepin, B., Buchholtz, N., & Salinas-Hernández, U. (2025). A scoping survey of ChatGPT in mathematics education. Digital Experiences in Mathematics Education, 1-33. https://doi.org/10.1007/s40751-025-00172-1
  61. Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12 (22). https://doi.org/10.1186/s41039-017-0062-8
  62. Rawas, S. (2023). ChatGPT: Empowering lifelong learning in the digital age of higher education. Education and Information Technologies, 1-14. https://doi.org/10.1007/s10639-023-12114-8
  63. Rospigliosi, P. A. (2023). Artificial intelligence in teaching and learning: what questions should we ask of ChatGPT?. Interactive Learning Environments, 31(1), 1-3. https://doi.org/10.1080/10494820.2023.2180191
  64. Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9
  65. Shukla Shubhendu, S., & Vijay, J. (2013). Applicability of artificial intelligence in different fields of life. International Journal of Scientific Engineering and Research, 1(1), 28-35.
  66. Siegerink, B., Pet, L.A., Rosendaal, F.R., F& Schoones, J.W. (2023), ChatGPT as an author of academic papers is wrong and highlights the concepts of accountability and contributorship, Nurse Education in Practice, 68. https://doi.org/10.1016/j.nepr.2023.103599
  67. Southgate, E., Blackmore, K., Pieschl, S., Grimes, S., McGuire, J., & Smithers, K. (2019). Artificial Intelligence and Emerging Technologies in Schools. University of Newcastle. https://researchoutput.csu.edu.au/en/publications/artificial-intelligence-and-emerging technologies-in-schools-rese
  68. Taani, O., & Alabidi, S. (2024). ChatGPT in education: Benefits and challenges of ChatGPT for mathematics and science teaching practices. International Journal of Mathematical Education in Science and Technology, 1-30. https://doi.org/10.1080/0020739X.2024.2357341
  69. Tapan Broutin, M. S. (2023). Examination of Questions Asked by Pre-Service Mathematics Teachers in their Initial Experiences with ChatGPT. Journal of Uludag University Faculty of Education, 36(2), 1-26. https://doi.org/10.19171/uefad.1299680
  70. 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. https://doi.org/10.1186/s40561-023-00237-x
  71. Thurzo, A., Strunga, M., Urban, R., Surovková, J., & Afrashtehfar, K. I. (2023). Impact of artificial intelligence on dental education: A review and guide for curriculum update. Education Sciences, 13(2): 150. https://doi.org/10.3390/educsci13020150
  72. Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7). https://doi.org/10.29333/ejmste/13272
  73. Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 11(2). https://doi.org/10.2478/jagi-2019-0002
  74. Wiliam, D., & Thompson, M. (2017). Integrating assessment with learning: What will it take to make it work?. In C.A. Dwyer (Eds.), The future of assessment shaping teaching and learning (pp. 53-82). Routledge.
  75. Xu, L. D., Lu, Y., & Li, L. (2021). Embedding blockchain technology into IoT for security: A survey. IEEE Internet of Things Journal, 8 (13), 10452–10473. https://doi.org/10.1109/JIOT.2021.3060508
  76. Yifan, W., Mengmeng, Y., & Omar, M. K. (2023). “A friend or a foe” determining factors contributed to the use of ChatGPT among University Students. International Journal of Academic Research in Progressive Education and Development, 12(2), 2184–2201. http://dx.doi.org/10.6007/IJARPED/v12-i2/17400
  77. Yin, R. K. (2009). Case study research: Design and methods (4th ed.).Thousand Oaks, CA: Sage
  78. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
  79. Zhai, X. (2022, December 27). ChatGPT user experience: Implications for education. SSRN, http://dx.doi.org/10.2139/ssrn.4312418
  80. Zhou, K., Yang, J., Loy, C. C., & Liu, Z. (2022). Learning to prompt for vision-language models. International Journal of Computer Vision, 130(9), 2337-2348. https://doi.org/10.1109/cvpr52688.2022.01631
  81. Zhu, C., Sun, M., Luo, J., Li, T., & Wang, M. (2023). How to harness the potential of ChatGPT in education?. Knowledge Management & E-Learning, 15(2), 133–152. https://doi.org/10.34105/j.kmel.2023.15.008
  82. Dwivedi, Y.K., Kshetri, N., Hughes, L., Slade, E.L., Jeyaraj, A., Kar, A.K., Baabdullah, A.M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M.A., Al-Busaidi, A.S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D.,. Wright, R. (2023). So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 53. https://doi.org/10.1016/j.ijinfomgt.2023.102642
  83. 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. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274