The PENERAPAN AI-POWERED PERSONALIZED LEARNING PADA PEMBELAJARAN FIKIH: DAMPAKNYA TERHADAP KEMANDIRIAN BELAJAR DAN KETERAMPILAN BERPIKIR KRITIS SISWA
Keywords:
AI-Powered Personalized Learning, Islamic Jurisprudence learning, independent learning, critical thinking,Abstract
This study was designed to examine the effect of implementing AI-Powered Personalized Learning in Islamic Jurisprudence (Fiqh) learning on improving students' learning independence and critical thinking skills at MTs Negeri 3 Deli Serdang. The main background of this study stems from the problem of the still low level of learning independence and critical thinking skills of students, most of whom still rely on conventional teacher-centered learning patterns. This study used a quantitative approach with a quasi-experimental design involving an experimental group and a control group as a comparison to determine the effectiveness of AI-based learning interventions. Data were collected through critical thinking test instruments and learning independence questionnaires, then analyzed using inferential statistical techniques to test for significant differences between groups. The results showed that there was a higher and more significant increase in the group receiving AI-based learning treatment compared to the group using conventional learning methods. Students in the experimental class demonstrated better abilities in managing the learning process independently, as well as showing improvements in their ability to analyze, evaluate, and solve Islamic Jurisprudence problems more systematically and critically. These findings indicate that the application of AI-Powered Personalized Learning has a positive contribution in improving the quality of learning processes and outcomes, especially in the aspects of students' learning independence and critical thinking skills, so that this approach can be considered as a relevant learning innovation in the context of 21st-century education.
References
Achuthan, K. (2025). Artificial intelligence and learner autonomy : a meta-analysis of self-regulated and self-directed. December. https://doi.org/10.3389/feduc.2025.1738751
Assiddiq, M. A. (2025). The Role of Artificial Intelligence ( AI ) in Promoting Autonomous Learning in Language Education : Benefits and Challenges (Vol. 5). Atlantis Press SARL. https://doi.org/10.2991/978-2-38476-394-8
Cheng, C. C., Wang, J. S., Zhai, X., Ting, Y., & Yang, C. (2025). AI literacy and gender equity in elementary education : A quasi ‑ experimental study of a STEAM – PBL – AIoT course with questionnaire validation.
Hariyanto. (2025). Artificial intelligence in adaptive education : a systematic review of techniques for personalized learning.
Khalifeh, F., & Santiago, R. (2026). Redefining personalized learning in the artificial intelligence era : an updated systematic review from 2019 to 2025. 6.
Laak, K. (2025). AI AND PERSONALIZED LEARNING : BRIDGING THE GAP WITH.
Mohamed, A. M., Alanezi, N. A., Darrag, Y., Alrwuaili, N. S., Ali, R., Alshamrani, H., & Berdida, D. J. E. (2026). The role of AI chatbots in nursing students ’ autonomous learning in mastering medical vocabulary : A quasi-experimental study. 21, 76–85. https://doi.org/10.1016/j.teln.2025.08.007
Saritepeci, M., & Yildiz, H. (2024). in design ‑ based learning on design thinking mindset , creative and reflective thinking skills : An experimental study. In Education and Information Technologies (Vol. 29, Issue 18). Springer US. https://doi.org/10.1007/s10639-024-12829-2
Suleymanova, A. (2026). Developing Critical Thinking and Creativity Through Interactive Pedagogies : A Quasi-Experimental Study of 21st Century Skills Development in Grades 5-9. 4–18.
Wang, K., Cui, W., & Yuan, X. (2025). Artificial Intelligence in Higher Education : The Impact of Need Satisfaction on Artificial Intelligence Literacy Mediated by Self-Regulated Learning Strategies. 1–24.









