Artificial Intelligence Integration in Fiqh Education for Elementary Madrasah Students: A Systematic Review

Résumé fourni par la source

This study aims to analyze the opportunities, challenges, and strategies for integrating Artificial Intelligence (AI) into fiqh education at Madrasah Ibtidaiyah. The approach used is a Systematic Literature Review (SLR) by examining 15 relevant scientific articles from 2019 to 2025. The analysis process was conducted through the stages of identification, selection, data extraction, and synthesis to obtain a comprehensive overview of the utilization of AI in Islamic education. The results indicate that AI holds significant potential for enhancing the quality of fiqh education, particularly in visualizing religious practices, fostering interactive learning, and personalizing educational materials through technologies such as chatbots, adaptive learning systems, augmented reality simulations, and Islamic gamification. However, the implementation of AI also faces various challenges, such as limitations in teachers’ digital competencies, uneven infrastructure, and issues regarding the ethics and validity of religious content. To address these challenges, this study proposes a Human-Centered AI integration model that positions the teacher as a murabbi and AI as a learning aid. This model emphasizes the importance of using curated data, a value-based approach, and the development of technology-based adaptive curricula. Thus, the integration of AI in fiqh learning at Madrasah Ibtidaiyah not only contributes to improving cognitive aspects but also supports the balanced development of students’ religious character and digital literacy.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.