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All Journal GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling Jurnal Tarbiyah : Jurnal Ilmiah Kependidikan Primatika : Jurnal Pendidikan Matematika Insyirah: Jurnal Ilmu Bahasa Arab dan Studi Islam Kalamuna El-Jaudah : Jurnal Pendidikan Bahasa dan Sastra Arab Solo International Collaboration and Publication of Social Sciences and Humanities Indonesian Journal of Islamic Educational Review Arabiyyatī: Journal of Arabic Language Education Profetika: Jurnal Studi Islam
Hakiem, Marsekal Rahman
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Religion Arts Humanities Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Artificial Intelligence in Islamic Education (2018–2025): A Bibliometric Analysis of Research Trends and Collaboration Hakiem, Marsekal Rahman
Indonesian Journal of Islamic Educational Review Vol. 3 No. 1 (2026): February 2026
Publisher : South Sulawesi Education Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/ijier.v3i1.540

Abstract

Artificial Intelligence integration in Islamic education represents an emerging research domain gaining rapid scholarly attention. This bibliometric analysis examines the global research landscape on AI in Islamic Education from 2018 to 2025, utilizing the Scopus database and bibliometric analysis tools including VOSviewer and RStudio. Data retrieval was conducted on January 7, 2026. The study analyzed 29 articles from Scopus, identifying publication trends, research contributions by geographic location and institutions, citation patterns, and thematic clusters. Results reveal exponential growth with a 49.89% annual publication rate, concentrated primarily in Southeast Asia, with Indonesia and Malaysia accounting for 96.4% of global research output. Universitas Muhammadiyah Surakarta (Indonesia) and Malaysian Islamic universities emerged as leading research institutions. The research landscape is dominated by studies on AI applications in Qur'anic learning, pedagogical innovations, and technology acceptance among Muslim students, while critical research gaps remain in AI ethics, affective learning outcomes, and geographically contextualized implementation approaches. Citation analysis demonstrates a moderate impact (4.414 average citations per document) typical of newly established research fields. This analysis reveals that AI in Islamic Education has transitioned from nascent exploration to established scholarly priority within Muslim-majority regions, with substantial opportunities for international collaboration and evidence-based innovation to ensure AI technology serves Islamic education's ultimate mission of nurturing spiritually grounded and ethically upright learners.
Co-Authors Abdurrohman, Muhammad Uwais Aditya, Anggie Yudistira Ahmad Luqman Hakim, Ahmad Luqman Arif Rahman Auliansyah, Ach. Afrian Fanani, Muchammad Fathoni Faturrahman, Muhammad Irfan Hafidz Hendra Wibowo Imran lutfi bangun lestari Luthfi, Muhammad Haris Mahasri Shobahiya, Mahasri Maya Novita Sari Ridho, Arman Maulana Yeti Dahliana