The Paradox Of Artificial Intelligence In Learning: The Existence Of Technology And The Challenges Of Critical Thinking For High School Students
Keywords:
Artificial Intelligence, Critical Thinking, Pedagogy, Senior High SchoolAbstract
This article examines the paradox of Artificial Intelligence (AI) in learning, focusing on the coexistence of technological advancement and the challenges it poses to students' critical thinking at the senior high school level. The study aims to critically analyze how AI is positioned in learning practices and how its use influences students' cognitive processes and critical thinking skills. This research employs a qualitative approach through a literature study (library research), analyzing books, scientific journals, and relevant scholarly publications that discuss AI in education, critical thinking, and contemporary pedagogy. The findings indicate that AI has become a dominant entity in students' learning practices, particularly in completing academic tasks. AI is widely perceived as an efficient and practical tool that provides instant answers and reduces cognitive effort. However, this convenience simultaneously contributes to a shift in learning orientation from knowledge construction to answer consumption. The study reveals a tendency toward cognitive offloading, reduced analytical engagement, and the weakening of epistemic processes such as evaluation, reflection, and argumentation. These conditions illustrate a pedagogical paradox: while AI holds potential as cognitive scaffolding, its unregulated use often substitutes students' reasoning rather than supporting it. The study concludes that the core challenge of AI in education lies not in the technology itself, but in the absence of reflective pedagogical design. Without clear instructional strategies and critical mediation by teachers, AI risks reinforcing instrumental rationality and surface learning. Therefore, this research underscores the need for pedagogical frameworks that position AI as a medium for critical dialogue, metacognitive reflection, and meaningful learning, ensuring its alignment with the fundamental goals of education.
References
Anderson, L. W., & Krathwohl, D. R. (2017). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Longman.
Barnett, R. (2021). The philosophy of higher education: A critical introduction. Routledge.
Barr, N., Pennycook, G., Stolz, J. A., & Fugelsang, J. A. (2023). Cognitive offloading and the future of critical thinking in digital learning environments. Computers in Human Behavior, 139, 107503.https://doi.org/10.1016/j.chb.2022.107503
Brookhart, S. M. (2018). How to assess higher-order thinking skills in your classroom. ASCD.
Carr, N. (2020). The shallows: What the Internet is doing to our brains. WW Norton & Company.
Dwivedi, Y.K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., … Williams, M.D. (2023). Generative artificial intelligence and the future of education: Opportunities, challenges, and risks. International Journal of Information Management, 71, 102642.https://doi.org/10.1016/j.ijinfomgt.2023.102642
Ennis, R.H. (2018). Critical thinking across the curriculum: A vision. Springer.
Facione, P. A. (2015). Critical thinking: What it is and why it counts. Insight Assessment.
Furlong, D. E., & Lester, J. N. (2023). Toward a practice of qualitative methodological literature reviewing. Qualitative Inquiry, 29(6), 669-677.
Gerlich, M. (2023). AI tools in education: Cognitive offloading, critical thinking, and student dependency. Societies, 13(8), 180.https://doi.org/10.3390/soc13080180
Holmes, W., & Miao, F. (2023). Guidance for generative AI in education and research. UNESCO Publishing.
Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education: Promise and implications for teaching and learning. Journal of Educational Technology & Society, 26(2), 1–14.
Howard, S. K., Tondeur, J., Siddiq, F., & Scherer, R. (2022). Ready, set, go! Profiling teachers' readiness for online teaching in secondary education. Computers & Education, 182, 104487.https://doi.org/10.1016/j.compedu.2022.104487
Huang, R., & Chen, N.S. (2022). Artificial intelligence in education: From adaptive learning to epistemic change. Educational Technology Research and Development, 70(6), 3121–3140.https://doi.org/10.1007/s11423-022-10116-3
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
Khalil, M., & Er, E. (2024). Students' perceptions of ChatGPT in higher education: Critical thinking, trust, and epistemic authority. Computers and Education: Artificial Intelligence, 5, 100162.https://doi.org/10.1016/j.caeai.2023.100162
Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298-311.
Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2022). Intelligence unleashed: An argument for AI in education. British Journal of Educational Technology, 53(5), 1381–1397.https://doi.org/10.1111/bjet.13189
Ng, DTK, Leung, JKL, Chu, SKW, & Qiao, M.S. (2023). AI literacy: Definition, teaching, evaluation and ethical issues. Educational Technology & Society, 26(1), 1–14.
Noddings, N. (2021). Philosophy of education (4th ed.). Routledge.
OECD. (2019). OECD learning compass 2030. OECD Publishing.
Risko, E.F., & Gilbert, S.J. (2021). Cognitive offloading. Trends in Cognitive Sciences, 25(9), 676–688.https://doi.org/10.1016/j.tics.2021.05.003
Santrock, J. W. (2023). Educational psychology (7th ed.). McGraw-Hill Education.
Selwyn, N. (2021). Education and technology: Key issues and debates. Bloomsbury Publishing.
Smutny, P., & Schreiberova, P. (2023). ChatGPT and the future of education: A reflection on generative AI in learning. Education and Information Technologies, 28(6), 7379–7398.https://doi.org/10.1007/s10639-023-11511-4
UNESCO. (2023). Guidance on generative AI in education and research. UNESCO Publishing.
Wang, Y., Chen, L., & Li, X. (2023). Artificial intelligence and students' critical thinking: A systematic review. Thinking Skills and Creativity, 48, 101312.https://doi.org/10.1016/j.tsc.2023.101312
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223-235.
Yang, S., Ogata, H., Matsui, T., & Chen, N.S. (2024). Generative AI and epistemic engagement: Implications for critical thinking in secondary education. Computers & Education, 201, 104799.https://doi.org/10.1016/j.compedu.2023.104799
Zawacki-Richter, O., Marín, VI, Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International journal of educational technology in higher education, 16(1), 1-27.
Zhai, X., He, P., & Li, Y. (2024). Artificial intelligence in secondary education: Risks and opportunities for critical thinking development. Educational Research Review, 41, 100567.https://doi.org/10.1016/j.edurev.2023.100567
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Surviyana Surviyana, Pupun Nuryani

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.









