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Khundhori Muhammad
Sekolah Tinggi Ilmu Tarbiyah Miftahul Ulum Bangkalan; Indonesia
Religion Humanities Education Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Artificial Intelligence in Islamic Religious Education: A Systematic Review of Applications, Challenges, and Future Directions Khundhori Muhammad
Social Science Academic Vol. 3 No. 2 (2025)
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/ssa.9990

Abstract

Background: The rapid advancement of artificial intelligence (AI) has created transformative opportunities across educational sectors, yet its application within Islamic religious education (IRE) remains insufficiently examined in the academic literature. Purpose: This study systematically reviews existing research on AI integration in IRE, identifying key applications, implementation challenges, and future research directions. Methods: Following PRISMA 2020 guidelines, a comprehensive literature search was conducted across Scopus, Web of Science, Google Scholar, and SINTA databases, yielding 38 studies published between 2018 and 2024 that specifically addressed AI applications within IRE or madrasah contexts. Results: The analysis revealed three principal AI application clusters: (1) intelligent tutoring systems for Quranic recitation and tajweed correction, (2) adaptive learning platforms for Islamic jurisprudence instruction, and (3) natural language processing tools supporting Arabic language acquisition. Key challenges encompass inadequate technological infrastructure in madrasah institutions, insufficient educator digital competency, content authenticity concerns, and tensions between algorithmic personalization and Islamic pedagogical values. Conclusions: AI integration in IRE holds significant transformative potential; however, successful implementation requires culturally sensitive design frameworks, sustained educator professional development, and coherent institutional policies grounded in Islamic educational philosophy. Future research should prioritize empirical outcome measurement and indigenous AI tool development.
Monitoring Brain Waves during Dhikr: The Foundation for Developing an Islamic Neurofeedback-Based Independent Learning Model Khundhori Muhammad
Global Education Journal Vol. 3 No. 3 (2025): Global Education Journal (GEJ)
Publisher : Civiliza Publishing, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/gej.1360

Abstract

This study explores the integration of dhikr spiritual practices with neurofeedback technology to improve self-regulated learning (SRL) skills in Muslim students. Using a mixed method approach, the study involved 30 Muslim students (aged 18-25 years) who underwent a dhikr intervention with neurofeedback for 4 weeks. Brain activity was measured using a 14-channel EEG device, while SRL ability was measured by the Motivated Strategies for Learning Questionnaire (MSLQ) through pre-test, post-test, and follow-up. The results of EEG analysis showed a significant increase in alpha (8-13 Hz) and theta (4-8 Hz) waves, as well as a decrease in beta (13-30 Hz) and gamma (>30 Hz) waves during and after the practice of dhikr. MSLQ measurements showed significant improvements in almost all components of SRL, especially metacognitive ability (d=1.07), self-efficacy (d=0.84), and business regulation (d=0.82). Correlation analysis revealed a strong positive association between increased alpha and theta waves and increased SRL scores. Thematic analysis of semi-structured interviews identified five main themes: increased internal awareness, mental calmness, strengthening of spiritual connections, transfer to learning activities, and the facilitative role of neurofeedback visualization. These findings suggest that the integration of dhikr with neurofeedback has the potential to be an innovative approach to developing SRL abilities while strengthening the religious identity of Muslim students, offering an educational model that integrates cognitive and spiritual aspects.
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