كفاءة الذكاء الاصطناعي مقابل الاعتماد المعرفي: تداعيات نقدية في التعلّم بالوسائط المتعددة
Keywords:
اعتماد الذكاء الاصطناعي, الوسائط التعليمية, التفكير الناقد, تقنيات التعليمAbstract
يتناول هذا البحث إشكالية التوتر التربوي بين كفاءة الذكاء الاصطناعي والاعتماد المعرفي في تطوير الوسائط التعليمية المتعددة، لا سيما في تعليم اللغة العربية. وبالاستناد إلى مراجعة منهجية لخمس وعشرين دراسة (2012–2026)، كشف البحث أن الاستخدام المفرط للذكاء الاصطناعي يُفضي إلى التحميل المعرفي الخارجي وتحيّز الأتمتة، مما يُولّد فهمًا زائفًا ويُضعف مهارات التفكير الناقد لدى المتعلمين. وتُقترح ستة استراتيجيات تربوية لتحقيق التوازن بين كفاءة الإنتاج وعمق التعلم النقدي.
References
Arslan, B., Lehman, B., Tenison, C., Sparks, J. R., López, A. A., Gu, L., & Zapata-Rivera, D. (2024). Opportunities and challenges of using generative AI to personalize educational assessment. Frontiers in Artificial Intelligence, 7, Article 1460651. https://doi.org/10.3389/frai.2024.1460651
Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2025). Generative AI without guardrails can harm learning: Evidence from high school mathematics. Proceedings of the National Academy of Sciences, 122(26), Article e2422633122. https://doi.org/10.1073/pnas.2422633122
Chapman, B. L., & Dalgarno, B. (2025). Beyond the ban: A theoretical framework for integrating generative AI in assessment. Policy Futures in Education. Advance online publication. https://doi.org/10.1177/14782103251411725
Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024). Impact of AI assistance on student agency. Computers & Education, 210, Article 104967. https://doi.org/10.1016/j.compedu.2023.104967
Facione, P. A. (2015). Critical thinking: What it is and why it counts. Insight Assessment. https://insightassessment.com/iaresource/critical-thinking-what-it-is-and-why-it-counts/
Fortuna, A., Prasetya, F., Samala, A. D., Rawas, S., Criollo-C, S., Kaya, D., Raihan, M., Andriani, W., Safitri, D., & Nabawi, R. A. (2025). Artificial intelligence in personalized learning: A global systematic review of current advancements and shaping future opportunities. Social Sciences & Humanities Open, 12, Article 102114. https://doi.org/10.1016/j.ssaho.2025.102114
Garzón, J., Patiño, E., & Marulanda, C. (2025). Systematic review of artificial intelligence in education: Trends, benefits, and challenges. Multimodal Technologies and Interaction, 9(8), Article 84. https://doi.org/10.3390/mti9080084
Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. Societies, 15(1), Article 6. https://doi.org/10.3390/soc15010006
Goddard, K., Roudsari, A., & Wyatt, J. C. (2012). Automation bias: A systematic review of frequency, effect mediators, and mitigators. Journal of the American Medical Informatics Association, 19(1), 121–127. https://doi.org/10.1136/amiajnl-2011-000089
Gonsalves, C. (2026). Generative AI’s impact on critical thinking: Revisiting Bloom’s taxonomy. Journal of Marketing Education, 48(1), 4–19. https://doi.org/10.1177/02734753241305980
Guo, Y., Huang, L., Zhang, C., Li, Q., & Chen, M. (2026). ChatGPT in education: A systematic review of its impact on critical thinking skills and dispositions. Thinking Skills and Creativity, 60, Article 102106. https://doi.org/10.1016/j.tsc.2025.102106
Jose, B., Cleetus, A., Joseph, B., Joseph, L., Jose, B., & John, A. K. (2025). Epistemic authority and generative AI in learning spaces: Rethinking knowledge in the algorithmic age. Frontiers in Education, 10, Article 1647687. https://doi.org/10.3389/feduc.2025.1647687
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. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274
Mayer, R. E. (2024). The past, present, and future of the cognitive theory of multimedia learning. Educational Psychology Review, 36, Article 8. https://doi.org/10.1007/s10648-023-09842-1
OECD. (2023). OECD digital education outlook 2023: Towards an effective digital education ecosystem. OECD Publishing. https://doi.org/10.1787/c74f03de-en
Pérez-Pérez, I., González-Afonso, M. C., Plasencia-Carballo, Z., & Pérez-Jorge, D. (2026). Transparency mechanisms for generative AI use in higher education assessment: A systematic scoping review (2022–2026). Computers, 15(2), Article 111. https://doi.org/10.3390/computers15020111
Perkins, M., Furze, L., Roe, J., & MacVaugh, J. (2024). The artificial intelligence assessment scale (AIAS): A framework for ethical integration of generative AI in educational assessment. Journal of University Teaching and Learning Practice, 21(6), Article 6. https://doi.org/10.53761/q3azde36
Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676–688. https://doi.org/10.1016/j.tics.2016.07.002
Tian, J., & Zhang, R. (2025). Learners’ AI dependence and critical thinking: The psychological mechanism of fatigue and the social buffering role of AI literacy. Acta Psychologica, 260, Article 105725. https://doi.org/10.1016/j.actpsy.2025.105725
U.S. Department of Education, Office of Educational Technology. (2023). Artificial intelligence and the future of teaching and learning: Insights and recommendations. U.S. Department of Education. https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf
Veldhuis, A., Lo, P. Y., Kenny, S., & Antle, A. N. (2025). Critical artificial intelligence literacy: A scoping review and framework synthesis. International Journal of Child-Computer Interaction, 43, Article 100708. https://doi.org/10.1016/j.ijcci.2024.100708