From the Unexpected Encounter with Artificial Intelligence in the University classroom to Deep Thinking about its Increasing Presence in Higher Education

Document Type : research article

Author

Department of Educational Sciences, Faculty of Literature and Humanities, Malayer University, Malayer, Iran

Abstract

Aim: This article examines the unforeseen impacts of artificial intelligence within academic settings, analyzing the complex issues arising from its growing and thought-provoking presence at both micro (classroom) and macro (higher education planning and policy) levels.
Methodology: The approach of this study is qualitative, utilizing an autobiographical method that moves beyond surface-level reporting toward interpretative phenomenology. Autobiography, with its focus on the researcher’s personal experience (unexpected encounter with AI in the classroom), enables a more precise analysis of this experience.
Results: The findings indicate that students lack sufficient familiarity with the ethical dimensions of AI use. Lesson plans do not address AI, and there is no specific program for evaluating student assignments using this technology. Additionally, higher-level educational policies have not been updated to accommodate the infiltration and expansion of AI within curricula, and many of these policies remain limited in scope. Given the current situation, inequalities stemming from the use of this technology are on the rise.
Conclusions and suggestions: This study addresses the lack of awareness regarding the applications and ethical dimensions of artificial intelligence, as well as the absence of educational infrastructure and up-to-date curricula related to this field within universities. In this regard, it is recommended that universities revise their curricula and develop appropriate educational resources for both instructors and students. Additionally, essential improvements to infrastructure and policies should be prioritized to optimize the effective utilization of this technology.
Innovation and originality: This article, employing a novel approach, seeks to bridge the gap between classroom settings and the fields of educational policy and planning. The innovation of this study aims to raise awareness among policymakers about the rapid spread of artificial intelligence across the country and encourages them to adopt proactive and forward-thinking policies in this regard.

 

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Abrahão, M. H. M. B. (2012). Autobiographical research: Memory, time and narratives in the first person. European Journal for Research on the Education and Learning of Adults, 3(1), 29-41. https://doi.org/10.3384/rela.2000-7426.rela0051.
Adams, C., Pente, P., Lemermeyer, G., Turville, J., & Rockwell, G. (2022). Artificial intelligence and teachers’ new ethical obligations. The International Review of Information Ethics, 31(1). https://doi. org/10.29173/irie483.
Almasri, F. (2024). Exploring the impact of artificial intelligence in teaching and learning of science: A systematic review of empirical research. Research in Science Education, 54, 977–997. https://doi.org/10.1007/s11165-024-10176-3.
Ashouri Kisomi , M. (2024). Investigating some ethical issues of artificial intelligence in art, Metaphysic, 16(1), 93-110. magiran.com/p2761338. [in Persian].
Barnett, R. (1997). Higher education: A critical business. Buckingham: The Society for Research into Higher Education and Open University Press.
Barnett, R. (2017). The Ecological University: A Feasible Utopia (1st ed.). Routledge. (Jabbar, Rahmani & Sina Bastani, Trans.). Institute for Cultural, Social and Civilization Studies. Tehran, Iran. [in Persian].
Davies, M. (2015). A model of critical thinking in higher education. Higher Education: Handbook of Theory and Research. 30, 41-92.
Dignum, V. (2021) ‘The role and challenges of education for responsible AI’. London Review of Education, 19 (1), 1, 1–11. https://doi.org/10.14324/LRE.19.1.01
Deodhar, S., Borokini, F., & Waber, B. (2024, August 5). How companies can take a global approach to AI ethics. Harvard Business Review. https://hbr.org/2024/08/how-companies-can-take-a-global-approach-to-ai-ethics.
Egan, A., Maguire, R., Christophers, L., & Rooney, B. (2017). Developing creativity in higher education for 21st century learners: A protocol for a scoping review. International Journal of Educational Research, 82, 21-27.
Euronews. (2023, June 22) From information technology to robotic knowledge; Extracurricular training in Uzbekistan. [Video]. https://parsi.euronews.com/video/2023/06/22/from-information-technology-to-robotic-knowledge-extracurricular-training-in-uzbekistan.
Gillani, N., Eynon, R., Chiabaut, C., & Finkel, K. (2023). Unpacking the “Black Box” of AI in Education. Educational Technology & Society26(1), 99–111. https://www.jstor.org/stable/48707970.
Golzari, Z, Attaran, M. (2015). flipped learning in higher education: Narratives of a teacher, Journal of Theory & Practice in Curriculum. 4 (7), 136-81. [in Persian].
Gooya Z. (2023). Principles of Research Design in the Curriculum: Accuracy, Relevance and Participation. Journal of Theory & Practice in Curriculum. 11(21): 1
URL: http://cstp.khu.ac.ir/article-1-3602-en.html. [in Persian].
Griesbeck, A., Zrenner, J., Moreira, A., & Au-Yong-Oliveira, M. (2024). AI in Higher Education: Assessing Acceptance, Learning Enhancement, and Ethical Considerations Among University Students. In Á. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & A. Poniszewska-Marańda (Eds.) , Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Lecture Notes in Networks and Systems, vol 987. Springer, Cham. https://doi.org/10.1007/978-3-031-60221-4_21
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California management review, 61(4), 5-14.
Hendler, J; Mulvehill, AM. (2016).  Social Machines: The coming collision of artificial intelligence, social networking, and humanity. New York: Apress.
Ismail, N. M. (2023). Developing the learning of critical thinking in higher education: A case study based on an international university in Egypt (Doctoral thesis, University of Liverpool).
khosravipoor, Z., & Mehr Alizadeh, Y. (2022). Analysis of educational inequalities in the light of the developments of the Fourth Industrial Revolution. Journal of Educational Planning Studies, 10(20), 47-71. doi: 10.22080/eps.2022.22814.2083 . [in Persian].
Kiemde, S. M. A., & Kora, A. D. (2022). Towards an ethics of AI in Africa: Rule of education. AI and Ethics, 2(1), 35–40. https://doi.org/10.1007/s43681-021-00106-8.
Mehr news agency (31, July, 1403). Requiring engineering students to take an artificial intelligence course. Retrieved from link: mehrnews.com/x35tJV. [in Persian].
Miri Balajorshari, S, M., Mahmoudi, A. (2024). Analysis of ethical challenges in the field of artificial intelligence with an approach to Islamic ethics, Journal of Scientific Journal of Applied Ethics Studies, 14(53), 97-123. magiran.com/p2741132. [in Persian].
Motallebinejad, A. Fazeli, F & Navaii, E. (2023). A systematic review of the promises and challenges of artificial intelligence for teachers, Journal of Technology and Scholarship in Education, 3(1), 23-44. magiran.com/p2689585. [in Persian].
Noroozi, O., Soleimani, S., Farrokhnia, M., & Banihashem, S. K. (2024). Generative AI in education: Pedagogical, theoretical, and methodological perspectives. International Journal of Technology in Education, 7(3), 373-385.
Ricoeur, P. (1983). Temps et récit (Vol. 1). Éditions du Seuil.
Safaei Movahhed, S & Bavafa, D. (2013).  Factors shaping the hidden curriculum in Iran's higher education: a Auto ethnography. Journal of higher education curriculum studies, 3(7), 30-53. [in Persian].
Safari, E. , Safari, Karim (2022). Identifying and Prioritizing the Challenges of Artificial Intelligence Development in Iran using Thematic Analysis and Fuzzy Cognitive Mapping, Information management, 8(1), 23-44. magiran.com/p2530713. [in Persian].
shahryari, M., & rezadoost, K. (2022). Identifying the Opportunities and Challenges of Academic Planning and Providing a System Model for Higher Education Planning: Based On Data Theory. Journal of Educational Planning Studies10(20), 1-23. doi: 10.22080/eps.2022.22010.2051. [in Persian].
The National Document of Artificial Intelligence approved by the Supreme Council of Cultural Revolution retrieved from https://media.dotic.ir/uploads/org/2024/07/22/172164450983323700.pdf. [in Persian].
van Manen, M. (2016). Researching lived experience: Human science for an action sensitive pedagogy (2nd ed.). Routledge.
Varsik, S. and L. Vosberg (2024), "The potential impact of Artificial Intelligence on equity and inclusion in education", OECD Artificial Intelligence Papers, No. 23, OECD Publishing, Paris, https://doi.org/10.1787/15df715b-en.