ARTIFICIAL INTELLIGENCE AS A MEANS OF DEVELOPING PRE-SERVICE MATHEMATICS TEACHERS' CRITICAL THINKING
DOI:
https://doi.org/10.31110/2413-1571-2023-038-5-003Keywords:
critical thinking, Artificial Intelligence, the process of learning mathematics, pre-service mathematics teachers, proof of inequalities, mathematical induction methodAbstract
Formulation of the problem. Today, education focuses not only on the acquisition of hard skills (knowledge, abilities, skills in a certain subject area) by graduates but on the acquisition of so-called soft skills, i.e., the qualities of the future that a future competitive specialist must have, among which the skills of critical thinking. An urgent issue in the professional education system of pre-service mathematics teachers is the search for proof of the effectiveness of developing critical thinking.
Materials and methods. Methods of the theoretical level of scientific knowledge were used to achieve the goal: analysis of scientific literature, synthesis, formalization of scientific sources, description, comparison, and generalization of own experience.
Results. The foreign experience of using artificial intelligence in the educational sphere is analyzed. The positive and negative aspects of such use are highlighted. The possibilities of using artificial intelligence for the development of critical thinking of future mathematics teachers are considered using the example of ChartGPT. When studying the topic "Proofing Inequalities," a variant of tasks for students is offered. In completing tasks, ChartGPT is used as a "simulator" for future teachers in working with students. Students are required to evaluate the solutions offered by ChartGPT critically. AI provides several ways to prove the inequalities. However, it makes mistakes in the solutions. The reactions of artificial intelligence to pointing out its errors are presented.
Conclusions. The introduction of artificial intelligence into the educational process and its use as a means of developing the critical thinking of future mathematics teachers is considered appropriate. The effectiveness of such an implementation is shown in the example of studying the topic "Proofing Inequalities".
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References
10 Top Soft Skills for 2020: What They Are and How To Train Them (2016). https://www.game-learn.com/en/resources/blog/top-soft-skills2020-how-to-train-them/.
Bogost, I. (2022). ChatGPT is dumber than you think. https://www.theatlantic.com/technology/archive/2022/12/chatgpt-openai-artificial-intelligence-writing-ethics/672386/.
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1–12. https://doi.org/10.1080/14703297.2023.2190148.
Dibble, M. (2023). Schools ban ChatGPT amid fears of artificial intelligence-assisted cheating. VOA News. https://www.voanews.com/a/schools-banchatgpt-amid-fears-of-artificial-intelligence-assisted-cheating/6949800.html.
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. https://doi.org/10.1080/14703297.2023.2195846.
Gao, J., Zhao, H., Yu, C., & Xu, R. (2023). Exploring the feasibility of ChatGPT for event extraction. arXiv. https://doi.org/10.48550/arXiv.2303.03836.
Lecler, A., Duron, L., & Soyer, P. (2023). Revolutionizing radiology with GPT-based models: Current applications, future possibilities, and limitations of ChatGPT. Diagnostic and Interventional Imaging. https://doi.org/10.1016/j.diii.2023.02.003.
Lim, W. M., Gunasekara, A., Pallan, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnar¨ok or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21, 100790. https://doi.org/10.1016/j.ijme.2023.100790.
Lukpat, A. (2023). ChatGPT banned in New York City public schools over concerns about cheating, learning development. The Wall Street Journal. https://www.wsj.com/articles/chatgpt-banned-in-new-york-city-public-schools-over-concerns-about-cheating-learning-development-11673024059.
Marche, S. (2022). The college essay is dead. Nobody is prepared for how AI will transform academia. The Atlantic. https://www.theatlantic.com/technology/archive/2022/12/chatgpt-ai-writing-college-student-essays/672371/.
Mhlanga, D. (2023). Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. SSRN Electronic Journal. https://doi.org/10.2139/SSRN.4354422.
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9.
Rusandi M., Ahman, Saripah I., Khairun D., & Mutmainnah. (2023). No worries with ChatGPT: building bridges between artificial intelligence and education with critical thinking soft skills, Journal of Public Health, fdad049, https://doi.org/10.1093/pubmed/fdad049.
Shiri, A. (2023). ChatGPT and academic integrity. SSRN Electronic Journal. https://doi.org/10.2139/SSRN.4360052.
Stokel-Walker, C. (2022). AI bot ChatGPT writes smart essays – should professors worry? Nature. https://doi.org/10.1038/d41586-022-04397-7.
Stokel-Walker, C., & van Noorden, R. (2023). What ChatGPT and generative AI mean for science. https://www.nature.com/articles/d41586-023-00340-6.
Susnjak, T. (2022). ChatGPT: The end of online exam integrity? arXiv. https://doi.org/10.48550/arXiv.2212.09292.
Tlili, A., Shehata, B., Adarkwah, M., Bozkurt, A., Hickey, D., 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. 10:15. https://doi.org/10.1186/s40561-023-00237-x.
Zhai, X. (2023). ChatGPT user experience: Implications for education. Journal of Applied Learning and Teaching. 6(1), 1-22. https://doi.org/10.37074/jalt.2023.6.1.9.
Kontseptsiia rozvytku shtuchnoho intelektu v Ukraini [The concept of artificial intelligence development in Ukraine] (2021). https://ips.ligazakon.net/document/KR201556?an=61. (in Ukrainian).
Ministerstvo osvity i nauky Ukrainy. Osvita 4.0: ukrainskyi svitanok [Ministry of Education and Science of Ukraine. Education 4.0 Ukrainian Sunrise] (2022). https://erasmusplus.org.ua/wp-content/uploads/2022/11/20221220_123446.pdf. (in Ukrainian).
Nanovska, V. (2023). Shcho treba znaty pro ChatGPT, shchob vin stav efektyvnym pomichnykom, a ne pastkoiu [What you need to know about ChatGPT so that it becomes an effective assistant and not a trap]. Mediameiker – Mediamaker. https://mediamaker.me/chat-bot-chatgpt-shho-potribno-znaty-vydavczyam-569/. (in Ukrainian).
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