The Impact of GB Chat on Education - A Comparative Theoretical Study
DOI:
https://doi.org/10.59992/IJCI.2023.v2n6p5Keywords:
GB Chat, Education, Comparative Theoretical StudyAbstract
The research aimed to identify the impact of ChatGPT in education and upbringing, and to reveal the negatives and problems of using ChatGPT? How can it be addressed, the advantages of using ChatGPT, and how can ChatGPT be used to enhance education? The research was based on the comparative descriptive approach, which is based on a review of literature and research related to the research title. As ChatGPT continues to receive significant attention and is increasingly used by students, there is an urgent need to understand its impact on education and take immediate action in response to its potential threats.
The current research followed the preferred rapid review and comparison of reports of systematic reviews and statistical analysis when selecting relevant articles (Moher, et al, 2009). A final search was performed using the search string “ChatGPT” in each database to search for relevant articles that included the term “ChatGPT” in their title, abstract, or keywords.
Reading previous research relevant to the current research has proven that ChatGPT has contributed to the development of large language machines (LLMs) such as ChatGPT. It's an approach similar to that of Transformer and others (2022), who recently explored how GTP-3 could be used to write aspects of an academic paper about itself, with minimal human input.
Launched in November 2022, the artificial intelligence-based Chat GPT bot is capable of creating coherent, information-rich, human-like responses to user input. This rapid literature review has enriched our understanding of the capabilities of Chat GPT across subject areas, how it can be used in education, and potential issues raised by researchers during the first three months of its release (i.e., from December 2022 to February 2023). A search of relevant databases and Google Scholar yielded 50 articles for content analysis (i.e., open coding, axial coding, selective coding). The results of this review also indicate that Chat GPT performance varies across subject areas, ranging from outstanding (e.g. economics) to satisfactory (e.g. programming) to unsatisfactory (e.g. mathematics). Although Chat GPT has the potential to serve as an assistant for teachers (e.g., to create course materials and provide suggestions) and a virtual tutor for students (e.g., to answer questions and facilitate collaboration), there have been challenges associated with its use (For example, generating incorrect or fake information and bypassing plagiarism detectors). Immediate action should be taken to modernize assessment methods and institutional policies in schools and universities. Teacher training and student education are also essential to respond to the impact of Chat GPT on the educational environment.
The results indicate that Chat GPT has the potential to enhance teaching and learning. However, her knowledge and performance were not completely satisfactory across subject areas. Using Chat GPT also presents many potential problems, such as generating incorrect or fake information and student impersonation. Therefore, immediate action is needed to address these potential issues and improve the use of Chat GPT in education.
This quick review highlights Chat GPT's diverse performance across different subject areas and its potential benefits when serving as an assistant for teachers and as a virtual tutor for students. However, its use raises various concerns, such as the generation of incorrect or fake information and the threat it poses to academic integrity. The findings of this review call for schools and universities to take immediate action to update their guidance and policies on academic integrity and plagiarism prevention. Moreover, teachers should be trained on how to use Chat GPT effectively and detect plagiarism in students. Students should also be educated about the use of Chat GPT, its limitations, and its potential impact on academic integrity.
References
أولاً: المراجع العربية
1. محمد، سوزان صلاح. (2023). استخدام تشات جي بي تي Chat GPT كأحد تطبيقات الذكاء الاصطناعي في دعم العملية التعليمية. مصر.
ثانياً: المراجع الأجنبية
1- Afzal, S.; Dhamecha, T.; Mukhi, N.; Sindhgatta Rajan, R.; Marvaniya, S.; Ventura, M.; Yarbro, J. (2019). Development and deployment of a large-scale dialog-based intelligent tutoring system. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Minneapolis, MN, USA, 2–7 June 2019; Association for Computational Linguistics: Stroudsburg, PA, USA, 2019; Volume 2, pp. 114–121. [Google Scholar]
2- Ahsan, K., Akbar, S., & Kam, B. (2022). Contract cheating in higher education: A systematic literature review and future research agenda. Assessment & Evaluation in Higher Education, 47(4), 523–539. https://doi.org/10.1080/02602938.2021.1931660 [Taylor & Francis Online] [Web of Science ®], [Google Scholar]
3- Ali, F. (2023). Let the Devil Speak for Itself: Should ChatGPT Be Allowed or Banned in Hospitality and Tourism Schools? J. Glob. Hosp. Tour. 2023, 2, 1–6. Available online: https://digitalcommons.usf.edu/jght/vol2/iss1/1/ (accessed on 10 March 2023).
4- Al-Worafi, Y.M.; Hermansyah, A.; Goh, K.W.; Ming, L.C. (2023). Artificial Intelligence Use in University: Should We Ban ChatGPT? Preprints.org 2023. [Google Scholar] [CrossRef] arXiv. Available online: https://arxiv.org (accessed on 10 March 2023).
5- Aung, Y.Y.M.; Wong, D.C.S.; Ting, D.S.W. (2021). The Promise of Artificial Intelligence: A Review of the Opportunities and Challenges of Artificial Intelligence in Healthcare. Br. Med. Bull. 2021, 139, 4–15. [Google Scholar] [CrossRef].
6- Baidoo-Anu, D. (2023). Owusu Ansah, L. Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN 2023, 4337484. Available online: https://ssrn.com/abstract=4337484 (accessed on 10 March 2023).
7- Barber, M., Bird, L., Fleming, J., Titterington-Giles, E., Edwards, E., & Leyland, C. (2021). Gravity assist: Propelling higher education towards a brighter future. Office for students. https://www.officeforstudents.org.uk/publications/gravity-assist-propelling-higher-education-towards-a-brighter-future/ [Google Scholar].
8- Bašić, Ž.; Banovac, A.; Kružić, I.; Jerković, I. (2023). Better by You, Better than Me? ChatGPT-3 as Writing Assistance in Students’ Essays. arXiv 2023, arXiv:2302.04536. [Google Scholar].
9- Bengio, Y.; Lecun, Y.; Hinton, G. (2021). Deep Learning for AI. Commun. ACM 2021, 64, 58–65. [Google Scholar] [CrossRef].
10- Bloom, B.S. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals; David McKay: New York, NY, USA, 1956. [Google Scholar].
11- Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., Brynjolfsson, E., Buch, S., Card, D., Castellon, R., Chatterji, N., Chen, A., Creel, K., Davis, J. Q., Demszky, D. … Liang, P. (2021). On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258. [Google Scholar].
12- Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., and Amodei, D. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877–1901. https://proceedings.neurips.cc/paper/2020 [Google Scholar].
13- ChatGPT Could Be a Stanford Medical Student, a Lawyer, or a Financial Analyst. Here’s a List of Advanced Exams the AI Bot Has Passed So Far. Available online: https://www.businessinsider.com/list-here-are-the-exams-chatgpt-has-passed-so-far-2023-1 (accessed on 10 March 2023).
14- ChatGPT Passes Exams from Law and Business Schools. Available online: https://edition.cnn.com/2023/01/26/tech/chatgpt-passes-exams (accessed on 10 March 2023).
15- ChatGPT Sets Record for Fastest-Growing User Base—Analyst Note. Available online: https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01 (accessed on 10 March 2023).
16- Choi, J.H.; Hickman, K.E.; Monahan, A.; Schwarcz, D. (2023). Chatgpt Goes to Law School. SSRN 2023, 4335905. Available online: https://ssrn.com/abstract=4335905 (accessed on 10 March 2023).
17- Cotton, D.R.; Cotton, P.A.; Shipway, J.R. (2023). Chatting and Cheating: Ensuring Academic Integrity in the Era of ChatGPT. EdArXiv 2023. [Google Scholar] [CrossRef].
18- Dawson, P., & Sutherland-Smith, W. (2018). Can markers detect contract cheating? Results from a pilot study. Assessment & Evaluation in Higher Education, 43(2), 286–293. https://doi.org/10.1080/02602938.2017.1336746 [Taylor & Francis Online] [Web of Science], [Google Scholar].
19- Dehouche, N. (2021). Plagiarism in the age of massive generative pre-trained transformers (GPT-3). Ethics in Science and Environmental Politics, 2, 17–23. https://doi.org/10.3354/esep00195 [Crossref], [Google Scholar].
20- Duval, A., Lamson, T., de Kérouara, G. D. L., & Gallé, M. (2020). Breaking writer’s block: Low-cost fine-tuning of natural language generation models. arXiv preprint arXiv:2101.03216. [Google Scholar].
21- Elkins, K., & Chun, J. (2020). Can GPT-3 pass a Writer’s turing test? Journal of Cultural Analytics, 5(2), 17212. https://doi.org/10.22148/001c.17212 [Crossref], [Google Scholar].
22- Fijačko, N.; Gosak, L.; Štiglic, G.; Picard, C.T.; Douma, M.J. (2023). Can ChatGPT Pass the Life Support Exams without Entering the American Heart Association Course? Resuscitation 2023, 185, 109732. [Google Scholar] [CrossRef].
23- Floridi, L., & Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and Machines, 30(4), 681–694. https://doi.org/10.1007/s11023-020-09548-1 [Crossref] [Web of Science ®], [Google Scholar].
24- Frieder, S.; Pinchetti, L.; Griffiths, R.R.; Salvatori, T.; Lukasiewicz, T.; Petersen, P.C.; Chevalier, A.; Berner, J. (2023). Mathematical Capabilities of ChatGPT. arXiv 2023, arXiv:2301.13867. [Google Scholar].
25- Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2022). Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers. bioRxiv. https://doi.org/10.1101/2022.12.23.521610 [Crossref], [Google Scholar].
26- Gao, J. (2021). Exploring the feedback quality of an automated writing evaluation system Pigai. International Journal of Emerging Technologies in Learning (iJET), 16(11), 322–330. https://doi.org/10.3991/ijet.v16i11.19657 [Crossref], [Google Scholar].
27- García-Peñalvo, F.J. (2023). The Perception of Artificial Intelligence in Educational Contexts after the Launch of ChatGPT: Disruption or Panic? Educ. Knowl. Soc. 2023, 24, 1–9. [Google Scholar] [CrossRef].
28- Geerling, W.; Mateer, G.D.; Wooten, J.; Damodaran, N. (2023). Is ChatGPT Smarter than a Student in Principles of Economics? SSRN 2023, 4356034. [Google Scholar] [CrossRef].
29- Gierl, M., Latifi, S., Lai, H., Boulais, A., & Champlain, A. (2014). Automated essay scoring and the future of educational assessment in medical education. Medical Education, 48(10), 950–962. https://doi.org/10.1111/medu.12517 [Crossref] [PubMed] [Web of Science ®], [Google Scholar].
30- 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 Med. Educ. 2023, 9, e45312. [Google Scholar] [CrossRef].
31- Google Cloud: Dialogflow. Available online: https://cloud.google.com/dialogflow (accessed on 10 March 2023).
32- GPT-4. (2023). Available online: https://openai.com/research/gpt-4 (accessed on 5 April 2023).
33- Han, Z.; Battaglia, F.; Udaiyar, A.; Fooks, A.; Terlecky, S.R. (2023). An Explorative Assessment of ChatGPT as an Aid in Medical Education: Use it with Caution. medRxiv 2023. [Google Scholar] [CrossRef].
34- Hargreaves, S. (2023). ‘Words are Flowing out Like Endless Rain into a Paper Cup’: ChatGPT & Law School Assessments. SSRN 2023, 4359407. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4359407 (accessed on 10 March 2023).
35- Hern, A. (2022, December 4) AI bot ChatGPT stuns academics with essay-writing skills and usability. The Guardian. https://www.theguardian.com/technology/2022/dec/04/ai-bot-chatgpt-stuns-academics-with-essay-writing-skills-and-usability [Google Scholar].
36- Hew, K.F.; Bai, S.; Dawson, P.; Lo, C.K. (2021). Meta-analyses of Flipped Classroom Studies: A Review of Methodology. Educ. Res. Rev. 2021, 33, 100393. [Google Scholar] [CrossRef].
37- Hisan, U.; Amri, M. (2023). ChatGPT and Medical Education: A Double-Edged Sword. J. Pedagog. Educ. Sci. 2023, 2, 71–89. [Google Scholar] [CrossRef].
38- Hopp, C., & Speil, A. (2021). How prevalent is plagiarism among college students? Anonymity preserving evidence from Austrian undergraduates. Accountability in Research, 28(3), 133–148. https://doi.org/10.1080/08989621.2020.1804880 [Taylor & Francis Online] [PubMed] [Web of Science®], [Google Scholar].
39- 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. J. Educ. Eval. Health Prof. 2023, 20, 1. [Google Scholar] [CrossRef] [PubMed].
40- iThenticate. Available online: https://www.ithenticate.com (accessed on 10 March 2023). 41-
41- Jaimovitch-López, G., Ferri, C., Hernández-Orallo, J., Martínez-Plumed, F., & Ramírez-Quintana, M. J. (2022). Can language models automate data wrangling? Machine Learning, 1–30. https://doi.org/10.1007/s10994-022-06259-9 [Crossref], [Google Scholar].
42- Jalil, S.; Rafi, S.; LaToza, T.D.; Moran, K.; Lam, W. ChatGPT and Software Testing Education: Promises & Perils. arXiv 2023, arXiv:2302.03287. [Google Scholar].
43- Kasneci, E.; Seßler, K.; Küchemann, S.; Bannert, M.; Dementieva, D.; Fischer, F.; Gasser, U.; Groh, G.; Günnemann, S.; Hüllermeier, E.; et al. (2023). ChatGPT for Good? On Oppor-tunities and Challenges of Large Language Models for Education. Learn. Individ. Differ. 2023, 103, 102274. [Google Scholar] [CrossRef].
44- Khalil, M.; Er, E. (2023). Will ChatGPT Get You Caught? Rethinking of Plagiarism Detection. arXiv 2023, arXiv:2302.04335. [Google Scholar].
45- Khan, R.A.; Jawaid, M.; Khan, A.R.; Sajjad, M. (2023). ChatGPT—Reshaping Medical Education and Clinical Management. Pak. J. Med. Sci. 2023, 39, 605–607. [Google Scholar] [CrossRef].
46- Khangura, S.; Konnyu, K.; Cushman, R.; Grimshaw, J.; Moher, D. (2012). Evidence Summaries: The Evolution of a Rapid Review Approach. Syst. Rev. 2012, 1, 10. [Google Scholar] [CrossRef] [PubMed].
47- King, M.R. (2023). A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education. Cell. Mol. Bioeng. 2023, 16, 1–2. [Google Scholar] [CrossRef].
48- Kung, T.H.; Cheatham, M.; Medenilla, A.; Sillos, C.; De Leon, L.; Elepaño, C.; Madriaga, M.; Aggabao, R.; Diaz-Candido, G.; Maningo, J.; et al. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted Medical Education Using Large Language Models. PLoS Digital Health 2023, 2, e0000198. [Google Scholar] [CrossRef] [PubMed].
49- Lewis, A. (2022). Multimodal large language models for inclusive collaboration learning tasks. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, Washington, 202–210. [Crossref], [Google Scholar].
50- Li, C., & Xing, W. (2021). Natural language generation using deep learning to support MOOC learners. International Journal of Artificial Intelligence in Education, 31(2), 186–214. https://doi.org/10.1007/s40593-020-00235-x [Crossref], [Google Scholar].
51- Lines, L. (2016). Ghostwriters guaranteeing grades? The quality of online ghostwriting services available to tertiary students in Australia. Teaching in Higher Education, 21(8), 889–914. https://doi.org/10.1080/13562517.2016.1198759 [Taylor & Francis Online] [Web of Science ®], [Google Scholar].
52- Lo, C.K. (2023). Strategies for Enhancing Online Flipped Learning: A Systematic Review of Empirical Studies During the COVID-19 pandemic. Interact. Learn. Environ. 2023, 1–29. [Google Scholar] [CrossRef].
53- Lo, C.K.; Hew, K.F. (2017). A Critical Review of Flipped Classroom Challenges in K-12 Education: Possible Solutions and Recommendations for Future Research. Res. Pract. Technol. Enhanc. Learn. 2017, 12, 4. [Google Scholar] [CrossRef].
54- Lo, C.K.; Hew, K.F. (2022). Design Principles for Fully Online Flipped Learning in Health Professions Education: A Systematic Review of Research During the COVID-19 Pandemic. BMC Med. Educ. 2022, 22, 720. [Google Scholar] [CrossRef].
55- Lucy, L., & Bamman, D. (2021). Gender and representation bias in GPT-3 generated stories. Proceedings of the Third Workshop on Narrative Understanding, Mexico City, 48–55. [Crossref], [Google Scholar].
56- Mbakwe, A.B.; Lourentzou, I.; Celi, L.A.; Mechanic, O.J.; Dagan, A. (2023). ChatGPT Passing USMLE Shines a Spotlight on the Flaws of Medical Education. PLoS Digital Health 2023, 2, e0000205. [Google Scholar] [CrossRef].
57- Megahed, F.M.; Chen, Y.J.; Ferris, J.A.; Knoth, S.; Jones-Farmer, L.A. (2023). How Generative AI Models such as ChatGPT Can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study. arXiv 2023, arXiv:2302.10916. [Google Scholar].
58- Mhlanga, D. (2023). Open AI in Education, the Responsible and Ethical Use of ChatGPT Towards Lifelong Learning. SSRN 2023, 4354422. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4354422 (accessed on 10 March 2023).
59- Mitchell, A. (2022). Professor catches student cheating with ChatGPT: ‘I feel abject terror’. New York Post. https://nypost.com/2022/12/26/students-using-chatgpt-to-cheat-professor-warns/ [Google Scholar].
60- Mogali, S.R. (2023). Initial Impressions of ChatGPT for Anatomy Education. Anat. Sci. Educ. 2023, 1–4. [Google Scholar] [CrossRef] [PubMed].
61- Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. (2009). The PRISMA Group. Reprint-preferred Reporting Items for Systematic Reviews and Meta-analyses: The PRISMA statement. Phys. Ther. 2009, 89, 873–880. [Google Scholar] [CrossRef].
62- Newton, P.M. (2023). ChatGPT Performance on MCQ-based Exams. EdArXiv 2023. [Google Scholar] [CrossRef].
63- Nisar, S.; Aslam, M. (2023). Is ChatGPT a Good Tool for T&CM Students in Studying Pharmacology? SSRN 2023, 4324310. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4324310 (accessed on 10 March 2023).
64- OpenAI. Available online: https://openai.com (accessed on 10 March 2023).
65- Pavlik, J.V. (2023). Collaborating with ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education. J. Mass Commun. Educ. 2023, 78, 84–93. [Google Scholar] [CrossRef].
66- Perez, S., Massey-Allard, J., Butler, D., Ives, J., Bonn, D., Yee, N., & Roll, I. (2017). Identifying productive inquiry in virtual labs using sequence mining. In E. André, R. Baker, X. Hu, M. M. T. Rodrigo, & B. du Boulay Eds., Artificial intelligence in educationVol. 10(331), pp. 287–298. https://doi.org/10.1007/978-3-319-61425-0_24 [Crossref], [Google Scholar].
67- Perkins, M. (2023). Academic Integrity Considerations of AI Large Language Models in the Post-pandemic Era: ChatGPT and beyond. J. Univ. Teach. Learn. Pract. 2023, 20, 7. [Google Scholar] [CrossRef].
68- QAA. (2020) . Contracting to cheat in Higher Education – How to address contract heating, the use of third-party services and essay mills. Quality Assurance Agency (QAA). [Google Scholar].
69- Qadir, J. (2023). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education. TechRxiv 2023. [Google Scholar] [CrossRef].
70- Roscoe, R. D., Wilson, J., Johnson, A. C., & Mayra, C. R. (2017). Presentation, expectations, and experience: Sources of student perceptions of automated writing evaluation. Computers in Human Behavior, 70, 207–221. https://doi.org/10.1016/j.chb.2016.12.076 [Crossref] [Web of Science ®], [Google Scholar].
71- Rudolph, J.; Tan, S.; Tan, S. (2023). ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education? J. Appl. Learn. Teach. 2023, 6, 1–22. [Google Scholar] [CrossRef].
72- Sallam, M. (2023). The Utility of ChatGPT as an Example of Large Language Models in Healthcare Education, Research and Practice: Systematic Review on the Future Perspectives and Potential Limitations. Available online: https://www.medrxiv.org/content/10.1101/2023.02.19.23286155v1 (accessed on 1 March 2023).
73- Schools Ban ChatGPT Amid Fears of Artificial Intelligence-Assisted Cheating. Available online: https://www.voanews.com/a/schools-ban-chatgpt-amid-fears-of-artificial-intelligence-assisted-cheating/6949800.html (accessed on 10 March 2023).
74- Steenbergen-Hu, S.; Cooper, H. (2014). A Meta-analysis of the Effectiveness of Intelligent Tutoring Systems on College Students’ Academic Learning. J. Educ. Psychol. 2014, 106, 331–347. [Google Scholar] [CrossRef].
75- Stokel-Walker, C. (2022). AI bot ChatGPT writes smart essays — Should professors worry? Nature, d41586-022-04397-7. https://doi.org/10.1038/d41586-022-04397-7 [Crossref], [Google Scholar].
76- Stutz, P.; Elixhauser, M.; Grubinger-Preiner, J.; Linner, V.; Reibersdorfer-Adelsberger, E.; Traun, C.; Wallentin, G.; Whös, K.; Zuberbühler, T. (2023). Ch(e)atGPT? An Anecdotal Approach on the Impact of ChatGPT on Teaching and Learning GIScience. EdArXiv 2023. [Google Scholar] [CrossRef].
77- Susnjak, T. (2022). ChatGPT: The End of Online Exam Integrity? arXiv 2022, arXiv:2212.09292v1. [Google Scholar].
78- Szabo, A. (2023). ChatGPT a Breakthrough in Science and Education: Can it Fail a Test? OSF Prepr. 2023. [Google Scholar] [CrossRef].
79- 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 Learn. Env. 2023, 10, 15. [Google Scholar] [CrossRef].
80- Topsakal, O.; Topsakal, E. (2022). Framework for a Foreign Language Teaching Software for Children Utilizing AR, Voicebots and ChatGPT (Large Language Models). J. Cogn. Syst. 2022, 7, 33–38. [Google Scholar] [CrossRef].
81- Transformer, G.G.P, Osmanovic Thunström, A., & Steingrimsson, S. (2022). Can GPT-3 write an academic paper on itself, with minimal human input? https://hal.archives-ouvertes.fr/hal-03701250/document [Google Scholar].
82- Tricco, A.C.; Antony, J.; Zarin, W.; Strifler, L.; Ghassemi, M.; Ivory, J.; Perrier, L.; Hutton, B.; Moher, D.; Straus, S.E. (2015). A scoping review of rapid review methods. BMC Med. 2015, 13, 224. [Google Scholar] [CrossRef].
83- Turnitin. Available online: https://www.turnitin.com (accessed on 10 March 2023).
84- Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. Proceedings of NeurIPS, Longbeach, California USA. 5998–6008. [Google Scholar].
85- Ventayen, R.J.M. (2023). ChatGPT by OpenAI: Students’ Viewpoint on Cheating Using Artificial Intelligence-Based Application. SSRN 2023, 4361548. Available online: https://ssrn.com/abstract=4361548 (accessed on 10 March 2023).
86- Ventayen, R.J.M. (2023). OpenAI ChatGPT Generated Results: Similarity Index of Artificial Intelligence-Based Contents. SSRN 2023, 4332664. Available online: https://ssrn.com/abstract=4332664 (accessed on 10 March 2023).
87- Wang, X.; Gong, Z.; Wang, G.; Jia, J.; Xu, Y.; Zhao, J.; Fan, Q.; Wu, S.; Hu, W.; Li, X. (2023). ChatGPT Performs on the Chinese National Medical Licensing Examination. J. Med. Syst. 2023. [Google Scholar] [CrossRef].
88- Xu, L.; Sanders, L.; Li, K.; Chow, J.C.L. (2021). Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review. JMIR Cancer 2021, 7, e27850. [Google Scholar] [CrossRef] [PubMed].
89- Yang, M. (2023, January 6). New York City schools ban AI chatbot that writes essays and answers prompts. The Guardian. https://www.theguardian.com/us-news/2023/jan/06/new-york-city-schools-ban-ai-chatbot-chatgpt [Google Scholar].
90- Yeadon, W., Inyang, O. O., Mizouri, A., Peach, A., & Testrow, C. (2022). The death of the short-form physics essay in the coming AI revolution. arXiv preprint arXiv:2212.11661. https://arxiv.org/abs/2212.11661 [Google Scholar].
91- 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 [Crossref] [Web of Science], [Google Scholar].
92- 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? Int. J. Educ. Technol. High. Educ. 2019, 16, 39. [Google Scholar] [CrossRef].
93- Zhai, X. (2022). ChatGPT User Experience: Implications for Education. SSRN 2022, 4312418. [Google Scholar] [CrossRef].
94- Zhai, X. (2023). ChatGPT for Next Generation Science Learning. SSRN 2023, 4331313. Available online: https://ssrn.com/abstract=4331313 (accessed on 10 March 2023).
