Keywords
AI
new technologies in education
ethics
How to Cite
Abstract
For at least several decades, the school environment has been under strong pressure from technology. New ICT tools bring educational hopes, but they also raise many doubts. This paper concerns the presence of Artificial Intelligence (AI) in the teaching-learning process. AI in education (AIED) provides enormous opportunities for individualising the teaching-learning process, adapting the entire process to the schoolchild’s capabilities and motivation level. It also allows for more effective education management. It can predict trends, but also profile the education path of individual schoolchildren based on previous educational achievements. It also allows for support for teachers, especially in those aspects of education that can be standardised in some respects (e.g. assessment).
However, the presence of AI in the education system brings specific challenges and difficulties that demand taking action so as not to squander the educational opportunities associated with new technologies. Firstly, Artificial Intelligence collects huge amounts of data in its activities, including sensitive data related to children's privacy. It is necessary to take care of their protection so that they are not used to the detriment of children or processed for commercial purposes. The presence of AI in schools also requires a redefinition of the role of the teacher. Undoubtedly, the emphasis in their work will have to be distributed differently and their position defined more precisely. To a large extent, this is related to another threat, which may be deficits in interpersonal communication. Until now, the teaching-learning process was based on interpersonal relations between the teacher and schoolchildren and was strongly vectored. The message had a specific direction. In the case of AI, interpersonal communication disappears and the message becomes more spontaneous and interactive.
It is difficult to determine today whether AI will bring only benefits or whether the threats will outweigh them. The example of smartphones shows that not every new technology has a positive impact on the development and level of education of children. It seems that due to the dynamic development of AI models and their commonness as general-purpose technologies, we will not wait longer than a decade to make a substantive evaluation of the presence of AI in the education system.
References
Bostrom, N. (2005). A History of Transhumanist Thought. Journal of Evolution an Technology 14, 1-25. (From:) https://nickbostrom.com/papers/a-history-of-transhumanist-thought (access: 26.02.2025).
Carter, A. (2022). The Moral Dimension of AI-Assisted Decision-Making: Some Practical Perspectives from the Front Lines. Daedalus, 151(2), 299-308. (From:) https://www.jstor.org/stable/48662043 (access: 15.02.2025).
Casetti, F., Odin, R. (1994). Od paleo- do neo-telewizji. W perspektywie semiopragmatyki. (In:) A. Gwźódź (ed.) Po kinie?..., 117-136. Kraków: Universitas.
Chen, X., Zou, D., Xie, H., Cheng, G., Liu, C. (2022). Two decades of Artificial Intelligence in education. Educational Technology & Society 25(1), 28-47. (From:) https://www.jstor.org/stable/10.2307/48647028 (access: 12.12.2024).
Chen, Y., Tu, Y. F., Zhang, X., Hwang, G. J. (2024). Young children’s conceptions of robot programming learning. Educational Technology & Society 27(4), 69-89. (From:) https://www.jstor.org/stable/10.2307/48791544 (access: 04.12.2024).
Consainsights. (2025). AI in education statistics market size, share, industry trends and forecast to 2033. (From:) https://www.consainsights.com/reports/ai-in-education-statistics-market (28.05.2025).
Davis, V. (2023). Navigating the AI landscape in education: Balancing technology with personal touch. (From:) https://www.coolcatteacher.com/ai-classroom-personal-touch-human-relationships-interactions (access: 24.02.2025).
European Commission. (2023). How can artificial intelligence assist teachers with formative and summative assessment? (From:) https://school-education.ec.europa.eu/en/discover/news/how-can-artificial-intelligence-assist-assessment (access: 05.02.2025).
Faguy, A., Blasey, L., Morris, R. (2024). US states want to ban phones in schools. It might be a challenge. BBC, June 22. (From:) https://www.bbc.com/news/articles/ce99443qweno (access: 26.02.2024).
Fombona, J., Sáez-López, J. M. Sánchez Castro, S. (2025). Artificial intelligence and robotics in education: Advances, challenges, and future perspectives. Social Sciences & Humanities Open, 11(1): 101533. https://doi.org/10.1016/j.ssaho.2025.101533.
Fundació Bofill. (2022). Algorithms put to the test: Why AI in education? Barcelona: Fundació Jaume Bofill.
Gibney, E. (2025). China’s cheap, open AI model DeepSeek thrills scientists. Nature 638, 13-14. https://doi.org/10.1038/d41586-025-00229-6
Gillani, N., Eynon, R., Chiabaut, C., Finkel K. (2023). Unpacking the “Black Box” of AI in Education. Educational Technology & Society 26(1), 99-111. (From:) https://www.jstor.org/stable/10.2307/48707970 (access: 01.03.2025).
Greenemeier, L. (2017). 20 Years after Deep Blue: How AI has advanced since conquering chess. Scientific American, June 2. (From:) https://www.scientificamerican.com/article/20-years-after-deep-blue-how-ai-has-advanced-since-conquering-chess (access: 03.02.2025).
Hamilton, I., Swanston, B. (2024). Artificial Intelligence In education: Teachers’ opinions on AI in the classroom. Forbes, June 6. (From:) https://www.forbes.com/advisor/education/it-and-tech/artificial-intelligence-in-school (access: 26.02.2025).
Holmes, W., Bialik, M., Fadel, Ch. (2023). Artificial intelligence in education. (In:) Ch. Stückelberger, P. Duggal, (eds.). Data ethics: building trust: How digital technologies can serve humanity, 621-654. Geneva: Globethics. https://doi.org/10.58863/20.500.12424/4276068
Huang, L. (2023). Ethics of artificial intelligence in education: Student privacy and data protection. Science Insights Education Frontiers, 16(2), 2577-2587. https://doi.org/10.15354/sief.23.re202.
Kim, J. (2023). Leading teachers’ perspective on teacher-AI collaboration in education. Education an Information Technologies, 29(7). https://doi.og/10.1007/s10639-023-12109-5.
Kurp, F. (2023). Sztuczna Inteligencja od podstaw. Gliwice: Helion.
Lee, K. F. (2019). Inteligencja sztuczna, rewolucja prawdziwa. Chiny, USA i przyszłość świata. Poznań: Media Rodzina.
Lee, K. F., Qiufan, Ch. (2022). Sztuczna inteligencja. 2041. Poznań: Media Rodzina.
Lee, S. (2025). 5 AI trends reshaping education: Data & applications. (From) https://www.numberanalytics.com/blog/5-ai-trends-reshaping-education (access: 29.05.2025).
Lennox, J. C. (2020). 2084: Artifiial Intelligence and the future of humanity. Grand Rapids: Zondervan.
Li Y., Tolosa L., Rivas-Echeverria F., Marquez R. (2025). Integrating AI in education: Navigating UNESCO global guidelines, emerging trends, and its intersection with sustainable development goals. https://doi.org/10.26434/chemrxiv-2025-wz4n9
Lichfield, G. (2023). The ‘Manhattan Project’ theory of generative AI. Wired, April 6. (From:) https://www.wired.com/story/how-to-make-sense-of-the-generative-ai-explosion (access: 29.01.2025).
MacKenzie, P. (2024). How AI is changing the role of teachers in education. Forbes, October 2. (From:) https://www.forbes.com/councils/forbestechcouncil/2024/10/02/how-ai-is-changing-the-role-of-teachers-in-education (access: 10.02.2025).
Madden, M., Calvin, A., Hasse, A., & Lenhart, A. (2024). The dawn of the AI era: Teens, parents, and the adoption of generative AI at home and school. San Francisco. CA: Common Sense.
Marr, B. (2023). A short history of ChatGPT: How we got to where we are today. Forbes May 19. (From:) https://www.forbes.com/sites/bernardmarr/2023/05/19/a-short-history-of-chatgpt-how-we-got-to-where-we-are-today/ (access: 31.01.2025).
Marrone, R., Fowler, S., Bathakur, A., Dawson, S., Siemens, G., & Singh, C. (2024). Perceptions and perspectives of Australian school leaders on the integration of artificial intelligence in schools. School Leadership & Management, 45(1), 30-52. https://doi.org/10.1080/13632434.2024.2425019
Minsky, M. (2006). The emotion machine. Commonsense thinking, Artificial Intelligence, and the future of the human mind. New York: Simon&Schuster.
Mittal, U., Sai, S., Chamola, V., Sangwan, D. (2024). A comprehensive review on generative AI for education. IEEE Access, 12, 142733-142759. https://doi.org/10.1109/ACCESS.2024.3468368.
Moravec, H. (2009). Rise of the Robots – The future of artificial intelligence. Scientific American, March 23. (From:) https://www.scientificamerican.com/article/rise-of-the-robots (access: 05.02.2025).
More, M. (1990). Transhumanism: towards a futurist philosophy. (From:) https://www.ildodopensiero.it/wp-content/uploads/2019/03/max-more-transhumanism-towards-a-futurist-philosophy.pdf (access: 26.05.2025).
Nemorin, S., Vlachidis, A., Ayerakwa, H. M., & Andriotis, P. (2022). AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology, 48(1), 38-51. https://doi.org/10.1080/17439884.2022.2095568
Roberts, J. (2016). Thinking machines: The search for artificial intelligence. (From:) https://web.archive.org/web/20180819152455/https://www.sciencehistory.org/distillations/magazine/thinking-machines-the-search-for-artificial-intelligence (access: 03.02.2025).
Sandberg, A. (2013). Transhumanist declaration (2012). In: M. More, N. Vita-More, The transhumanist reader: Classical and contemporary essays on the science, technology, and philosophy of the human future, 54-55. New York: John Wiley&Son. https://doi.org/10.1002/9781118555927.ch4
Shinde, Y. (2025). Predictive AI in education market grows 13,2% year over year. (From:) https://scoop.market.us/predictive-ai-in-education-market-news/ (access: 29.05.2025).
Song, D., Oh, E. Y., Hong, H. (2022). The impact of teaching simulation using student chatbots with different attitudes on preservice teachers’ efficacy. Educational Technology & Society, 25(3), 46-59. (From:) https://www.jstor.org/stable/48673723 (access: 03.03.2025).
Suleyman, M., Bhaskar, M. (2023). The coming wave: technology, power, and the twenty-first century’s greatest dilemma. New York: Crown.
Teivainen, A. (2024). Helsinki adopts tougher rules on smartphone use in schools. Helsinki Times, August 8. (From:) https://www.helsinkitimes.fi/finland/finland-news/domestic/25487-helsinki-adopts-tougher-rules-on-smartphone-use-in-schools.html (access: 26.02.2025).
Tubino, L., Adachi, C. (2022). Developing feedback literacy capabilities through an AI-automated feedback tool. ASCILITE Publications. https://doi.org/10.14742/apubs.2022.39
Vieriu, A. M., Petrea, G. (2025). The impact of artificial intelligence (AI) on students’ academic development. Education Sciences, 15(3). https://doi.org/10.3390/educsci15030343