The use of artificial intelligence-based applications in learning – a survey report among undergraduate and secondary school students
DOI:
https://doi.org/10.34767/SZP.2024.02.06Keywords:
artificial intelligence, education, secondary schools, higher educationAbstract
Nowadays, there has been a rapid development of technological tools that have applications in the field of education. Some of these are based on artificial intelligence (AI), which is taking on a strategic dimension in the education sector. In the adaptation of AI, the attitudes of both teachers and students can be important. The aim of this article was to determine differences in the attitudes of undergraduate students and secondary school students with regard to their use of applications based on artificial intelligence for learning purposes.The article consists of an introduction, literature review, methods, results, conclusion. A survey was conducted to achieve the research objective. This survey of 306 Polish undergraduate students and 308 secondary school students was carried out in February and March 2024. The sample was purposive. The statistical analyses were carried out with the Statistica software. Hypotheses were tested using the Mann-Whitney U test. The study showed that the majority of those surveyed used AI-based applications when studying. The respondents used those tools mainly for the understanding of difficult subjects and/or for
the translation of texts. The benefits they most frequently mentioned were: increased accessibility to learning materials, getting immediate feedback, easier tracking of learning results/achievements and making learning more attractive. Conversely, they identified the following as the greatest threats: more cases of academic/student dishonesty and plagiarism, over-reliance on technology at the expense of traditional teaching techniques, and a decline in students’ ability to think and analyse independently. Undergraduate students were more likely than secondary school students to acknowledge the importance of these risks.
References
Almaraz-López, C., Almaraz-Menéndez, F., López-Esteban, C. Comparative study of the attitudes and perceptions of university students in business administration and management and in education toward artificial intelligence. Education Sciences, 13(6) 2023.
Al-Tkhayneh, K.M., Alghaz, E.M., Tahat, D. The advantages and disadvantages of using artificial intelligence in education. Journal of Educational and Social Research, 13(4) (2023)
AppMaster.io (2023). Jak tworzyć inteligentne aplikacje edukacyjne za pomocą narzędzia AI App Builder?, https://appmaster.io/pl/blog/tworz-inteligentne-aplikacje-edukacyjne-zapomoca-narzedzia-do-tworzenia-aplikacji-ai (10.03.2024).
Ayala-Pazmiño, M. Artificial Intelligence in education: exploring the potential benefits and risks. 593 Digital Publisher CEIT, 8(3) (2023).
Baker, R. (2021). Artificial intelligence in education: bringing it all together. W: OECD, OECD Digital Education Outlook 2021. Pushing the frontiers with AI, blockchain and robotics. Paris: OECD Library.
Blalock, H. (1975). Statystyka dla socjologów. Warszawa: PWN.
Bu, Q. Ethical risks in integrating artificial intelligence into education and potential countermeasures. Science Insights, 41(1) (2022).
Caccavale, F., Gargalo, C.L., Gernaey, K., Krühne, U. (2022). To be fAIr: ethical and fair application of artificial intelligence in virtual laboratories. W: H.-M. Järvinen, S. Silvestre, A. Llorens, B. Nagy (eds.), Proceedings of the SEFI 50th Annual Conference, 2022. Towards a new future in engineering education, new scenarios that European alliances of tech universities open up. Barcelona: European Society for Engineering Education SEFI, Universitat Politècnica de Catalunya, BarcelonaTech (UPC).
Chan, C.K.Y., Tsi, L.H.Y. (2023). The AI revolution in education: will ai replace or assist teachers in higher education? Computer Science, arXiv:2305.01185.
Cheng, L., Umapathy, K., Rehman, M., Ritzhaupt, A., Antonyan, K., Shidfar, P., Nichols, J., Lee, M., Abramowitz, B. Designing, developing, and validating a measure of undergraduate students’ conceptions of artificial intelligence in education. Journal of Interactive Learning Research, 34(2) (2023).
Cotton, D.R.E., Cotton, P.A., Shipway, J.R. Chatting and cheating. Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2) (2024).
Cpl Poland, Justjoin.it, Rocketjobs.pl (2023). AI i rynek pracy w Polsce. Raport 2023. https://issuu.com/cpl_cee/docs/ai_report_17.10?fr=xKAE9_zU1NQ (24.04.2024).
Często zadawane pytania dotyczące Microsoft 365 Copilot Chat, https://support.microsoft.com/pl-pl/topic/cz%C4%99sto-zadawane-pytania-ai-microsoft-copilot-i-projektantmicrosoft-987b275d-f6f2-4d5d-94c5-e927cffae705 (11.03.2024).
Djokic, I., Milicevic, N., Djokic, N., Malcic, B., Kalas, B. Students’ perceptions of the use of artificial intelligence in educational services. The Amfiteatru Economic Journal, 26(65) (2024).
Egger, K. (2023). Top 5 websites and platforms using AI for research, https://blog.hslu.ch/majorobm/2023/04/18/leveraging-ai-research-top-7-platforms-communitiesresearchers-across-fields-keg4/ (10.03.2024).
Garrote Jurado, R., Pettersson, T., Zwierewicz, M. (2023). Students’ attitudes to the use of artificial intelligence. ICERI2023 16th International Conference of Education, Research and Innovation, Seville, Spain, November 13–15, 2023, http://hb.diva-portal.org/smash/get/diva2:1815616/FULLTEXT01.pdf (24.04.2024).
Gartner, S., Krašna, M. (2023). Artificial Intelligence in education – ethical framework. W: 2023 12th Mediterranean Conference on Embedded Computing (MECO). Budva: Purchase at Partner.
González-Calatayud, V., Prendes-Espinosa, P.M., Roig-Vila, R. Artificial Intelligence for student assessment: a systematic review. Applied Sciences, 11 (2021).
Green, A. Artificial intelligence and the changing demand for skills in the labour market. OECD Artificial Intelligence Papers, 14 (2024).
Guan, H. Advantages and challenges of using Artificial Intelligence in primary and secondary school education. Journal of Education, Humanities and Social Sciences, 22 (2023).
Han, B., Nawaz, S., Buchanan, G., McKay, D. (2023). Ethical and pedagogical impacts of AI in education. W: N. Wang, G. Rebolledo-Mendez, N. Matsuda, O.C. Santos, V. Dimitrova (eds.), 24th International Conference, AIED 2023 Tokyo, Japan, July 3–7, 2023 Proceedings. Cham: Springer.
Holmes, W., Bialik, M., Fadel, Ch. (2023). Artificial Intelligence in education. W: Ch. Stückelberger, P. Duggal (eds.), Data ethics: building trust: how digital technologies can serve humanity. Geneva: Globethics Head Office.
Holmes, W., Porayska-Pomsta, K. (2022). (eds.), The ethics of Artificial Intelligence in education. Practices, challenges, and debates. New York–London: Taylor & Francis.
Holmes, W., Tuomi, I. State of the art and practice in AI in education. European Journal of Education, 57(4) (2022).
Huang, L. Ethics of artificial intelligence in education. Student privacy and data protection. Science Insights Education Frontiers, 16(2) (2023).
Jain, G.P., Gurupur, V.P., Schroeder, J.L., Faulkenberry, E.D. (2014). Artificial intelligence--based student learning evaluation: a concept map-based approach for analyzing a student’s understanding of a topic. IEEE Transactions on Learning Technologies, 7(3) (2014).
Jóźwiak, J., Podgórski, J. (2009). Statystyka od podstaw. Warszawa: PWE.
Kalla, D., Smith, N., Kuraku, S., Samaah, F. Study and analysis of Chat GPT and its impact on different fields of study. International Journal of Innovative Science and Research Technology, 8(3) (2023).
Karan, B., Angadi, G.R. Potential risks of Artificial Intelligence integration into school education: a systematic review. Bulletin of Science, Technology & Society, 43(3–4) (2023).
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. Stadler, M., Weller, J., Kuhn, J., Kasneci, G. ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103 (2023).
Korteling, J.E.H., van de Boer-Visschedijk, G.C., Blankendaal, R.A.M., Boonekamp, R.C., Eikelboom, A.R. Human versus Artificial Intelligence. Frontiers in Artificial Intelligence, 4 (2021).
Li, N. (2024). AI as a threat to education: contrasting GPT-3 and Google in answering questions along bloom’s taxonomy of educational objectives. W: K. Arai (ed.), Intelligent systems and applications, lecture notes in networks and systems. Vol. 822. Cham: Springer.
Loeckx, J. Blurring boundaries in education. Context and impact of MOOCs. International Review of Research in Open and Distributed Learning, 17(3) (2016).
Ma, X., Jiang, C. On the ethical risks of Artificial Intelligence applications in education and its avoidance strategies. Journal of Education, Humanities and Social Sciences, 14 (2023).
Mann, H.B., Whitney, D.R. On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18 (1947).
McKnight, P.E., Najab, J. (2010). Mann-Whitney U Test. W: I.B. Weiner, W.E. Craighead (eds.), The Corsini encyclopedia of psychology. New York: John Wiley
Miao, F., Holmes, W., Huang, R., Zhang, H. (2021). AI and education. A guidance for policymakers. Paris: United Nations Educational, Scientific and Cultural Organization.
Moczko, J.A. Czy zawsze prawidłowo interpretujemy wyniki statystycznych testów nieparametrycznych? Przegląd Lekarski, 11(71) (2014).
Naukowiec.org (b.d.w.). Test U Manna-Whitneya – opis, http://www.naukowiec.org/wiedza/statystyka/test-u-manna-whitneya_755.html (2.07.2019).
Nguyen, A., Ngo, H.N., Hong, Y., Dang, B., Nguyen, B.T. Ethical principles for artificial intelligence in education. Education and Information Technologies, 28 (2023).
Omówienie usługi Microsoft 365 Copilot, https://learn.microsoft.com/pl-pl/microsoft-365copilot/microsoft-365-copilot-overview (10.03.2024).
Organisation for Economic Co-operation and Development (OECD) (2023). OECD Employment Outlook 2023. Artificial Intelligence and the Labour Market. Paris: OECD Publishing.
Pizzinelli, C., Panton, A., Tavares, M.M., Cazzaniga, M., Li, L. Labor market exposure to AI: Cross-country differences and distributional implication. IMF Working Paper, 23(216) (2023).
Rabiej, M. (2012). Statystyka z programem Statistica. Gliwice: Helion.
Radday, E., Mervis, M. (2024). AI, ethics, and education: the pioneering path of sidekick academy. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21) (2024).
Reiss, M.J. The use of AI in education. Practicalities and ethical considerations. London Review of Education, 19(1) (2021).
Richardson, M., Clesham, R. Rise of the machines? The evolving role of Artificial Intelligence (AI) technologies in high stakes assessment. London Review of Education, 19(1) (2021).
Saylam, S., Duman, N., Yildirim, Y., Satsevich, K. Empowering education with AI. Addressing ethical concerns. London Journal of Social Sciences, 6 (2023).
Selwyn, N. The future of AI and education. Some cautionary notes. European Journal of Education, 57 (2022).
Silva, N., Alvarez, I. (2023). AI in higher education: utopia or reality? W: E. Smyrnova--Trybulska (ed.), E-learning & Artificial Intelligence. Katowice–Cieszyn: University of Silesia.
Suh, W., Ahn, S. Development and validation of a scale measuring student attitudes toward artificial intelligence. Sage Open, 12(2) (2022).
Talent Alpha (2024). The World of Work AI-ed. The Future of Work Report 2024, https://talent-alpha.com/wp-content/uploads/2024/01/The-Future-of-Work
Report-2024-Future-of-Work-AI-update3.pdf?utm_source=download&utm_medium=LP&utm_campaign=fow24 (24.04.2024).
Zanetti, M., Rendina, S., Piceci, L., Peluso Cassese, F. Potential risks of Artificial Intelligence in education. Form@re. Open Journal Per La Formazione in Rete, 20(1) (2020).
Zhai, X., Chu, X., Chai, C.S., Jong, M.S.Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., Li, Y. A review of Artificial Intelligence (AI) in education from 2010 to 2020. Complexity, 6 (2021)
