ISSN: 2222-6990
Open access
This study conducts a bibliometric and systematic review to explore the integration of Artificial Intelligence (AI) within Islamic education, focusing on trends, pedagogical approaches, and reported learning outcomes from 2003 to 2023. The study follows the PRISMA guidelines, analyzing data from the Scopus database. The review examines publication trends, subject area distributions, geographical contributions, leading institutions and authors, key terms, pedagogical approaches, and learning outcomes. The review identifies a peak in research activity in 2023, with consistent contributions across years. Computer Science is the dominant field, but interdisciplinary applications are evident. Leading contributions come from Saudi Arabia, Iran, and Egypt, with significant involvement from institutions in Malaysia and the UAE. Key terms reveal a focus on AI in Islamic finance and ethical considerations, with advanced AI applications emerging. Pedagogical approaches like personalized learning and gamification enhance engagement and comprehension, while reported learning outcomes include improved critical thinking and broader accessibility. This study provides the first comprehensive overview of AI integration in Islamic education, offering insights into current trends, challenges, and opportunities for future research and practical applications.
Ahmad, S., & Nordin, M. S. (2023). The role of artificial intelligence in enhancing Islamic education: A systematic review. Journal of Islamic Education Research, 15(2), 45-60.
Al-Khulaifi, A. (2022). The impact of AI on educational strategies in the Middle East: A focus on Islamic education. Middle Eastern Journal of Educational Technology, 8(1), 75-89.
Hamidi, M., & Balka, M. (2020). AI in Islamic education: Prospects and challenges. Journal of Educational Innovation and Technology, 10(2), 97-112.
Hashim, R., & Baker, Z. (2022). AI in education: A bibliometric analysis of global trends with a focus on Islamic educational contexts. Computers & Education, 177, 104372.
Mohammed, H., Al-Ghadeer, H., & Saeed, M. (2021). AI and the future of Islamic education in the UAE: Opportunities and challenges. Journal of Educational Technology & Society, 24(3), 109-120.
Sarker, M. F. H., Wu, M., & Zeng, J. (2022). AI in education: Trends, challenges, and future directions. International Journal of Educational Technology in Higher Education, 19(1), 1-23.
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med, 6(7), e1000097.
Alhammad, N., Awae, F., & Yussuf, A. (2025). Integrating Artificial Intelligence in Islamic Education: A Review on Pedagogical Approaches and Learning Outcomes. International Journal of Academic Research in Business and Social Sciences, 15(7), 563–579.
Copyright: © 2025 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode