Integration of Artificial Intelligence Literacy into a Transdisciplinary Curriculum to Enhance Students’ Critical Thinking Skills
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Abstract
This study was motivated by the increasing use of artificial intelligence in higher education, which had not been systematically integrated into the curriculum to support the development of students’ critical thinking skills. The study aimed to analyze the pattern of artificial intelligence literacy integration within a transdisciplinary curriculum and to identify its impact on enhancing students’ critical thinking abilities. A qualitative approach with a case study design was employed in interdisciplinary study programs at a higher education institution. Data were collected through curriculum document analysis, classroom observations, in-depth interviews with lecturers and students, and examination of academic assignments and portfolios. Data were analyzed thematically through processes of data reduction, categorization, data display, and interactive conclusion drawing. The findings indicated that the integration of artificial intelligence literacy, designed through reflective and collaborative pedagogical approaches, contributed to improvements in analytical skills, information evaluation, critical argumentation, and students’ ethical awareness. This study produced a transdisciplinary curriculum-based model of artificial intelligence literacy integration that enriched the development of higher-order thinking skills in higher education contexts.
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References
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K–12 and higher education. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7
Aoun, J. E. (2018). Robot-proof: Higher education in the age of artificial intelligence. MIT Press.
Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta. https://www.nesta.org.uk
Binkley, M., Erstad, O., Herman, J., Raizen, S., Ripley, M., Miller-Ricci, M., & Rumble, M. (2018). Defining twenty-first century skills. In P. Griffin & E. Care (Eds.), Assessment and teaching of 21st century skills (pp. 17–66). Springer.
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for education: A systematic review. Computers and Education: Artificial Intelligence, 3, 100069. https://doi.org/10.1016/j.caeai.2022.100069
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.233
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., … Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on generative conversational AI. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Keralis, S. (2020). Disinformation, artificial intelligence, and information literacy. College & Research Libraries News, 81(9), 456–461. https://doi.org/10.5860/crln.81.9.456
Kimmons, R., Graham, C. R., & West, R. E. (2020). The PICRAT model for technology integration in teacher preparation. Contemporary Issues in Technology and Teacher Education, 20(1), 176–198.
Klein, J. T. (2019). Beyond interdisciplinarity: Boundary work, communication, and collaboration. Oxford University Press.
Klein, J. T. (2020). Transdisciplinarity: Joint problem solving among science, technology, and society. Springer.
Lamb, S., Maire, Q., & Doecke, E. (2021). Key skills for the 21st century: An evidence-based review. New South Wales Department of Education.
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). ACM. https://doi.org/10.1145/3313831.3376727
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2018). Intelligence unleashed: An argument for AI in education. Pearson Education.
Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: Guidance for policy-makers. UNESCO.
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
OECD. (2019). OECD future of education and skills 2030: Learning compass 2030. OECD Publishing.
OECD. (2021). OECD digital education outlook 2021: Pushing the frontiers with artificial intelligence, blockchain and robots. OECD Publishing. https://doi.org/10.1787/589b283f-en
Redecker, C. (2020). European framework for the digital competence of educators (DigCompEdu). Publications Office of the European Union.
Repko, A. F., & Szostak, R. (2020). Interdisciplinary research: Process and theory (4th ed.). SAGE Publications.
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Selwyn, N., Hillman, T., Eynon, R., Ferreira, G., Knox, J., Macgilchrist, F., & Sancho-Gil, J. M. (2020). What’s next for Ed-Tech? Learning, Media and Technology, 45(1), 1–6. https://doi.org/10.1080/17439884.2020.1694945
Southworth, H., Shum, S. B., & Sándor, Á. (2023). AI literacy for the future: Teaching critical engagement with AI systems. British Journal of Educational Technology, 54(3), 1001–1018. https://doi.org/10.1111/bjet.13248
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. UNESCO Publishing.
UNESCO. (2022). Guidance on generative AI in education and research. UNESCO Publishing.
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://doi.org/10.1080/17439884.2020.1798995
World Economic Forum. (2020). The future of jobs report 2020. World Economic Forum.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0