INTEGRASI PENDIDIKAN AGAMA ISLAM DENGAN ARTIFICIAL INTELLEGENCE, BIG DATA DAN HYPERKONEKTIFITAS DIGITAL

Authors

  • Muhammad Azhari Universitas Islam Negeri Antasari Banjarmasin
  • Syaifuddin Sabda Universitas Islam Negeri Antasari Banjarmasin
  • Hamdan Universitas Islam Negeri Antasari Banjarmasin
  • Husnul Yaqin Universitas Islam Negeri Antasari Banjarmasin

DOI:

https://doi.org/10.47732/adb.v9i1.956

Keywords:

Artificial Intelligence, Big Data, Digital Hyperconnectivity, Digital Transformation, Islamic Religious Education.

Abstract

This study aims to examine the concept and implications of integrating Islamic Religious Education with digital technology, particularly artificial intelligence, big data, and digital hyperconnectivity, in the context of contemporary education. Rapid technological development has significantly transformed learning patterns, access to knowledge, and the relationship between teachers and students, requiring a paradigm shift in religious education to remain relevant without losing its spiritual and moral foundations. This research employs a qualitative approach using library research methods. Data were collected through a systematic review of scientific books, academic journals, research reports, and policy documents related to Islamic education and digital transformation. Data analysis was conducted using an interactive model consisting of data reduction, data display, and reflective-conclusive analysis. The findings reveal that the integration of Islamic Religious Education with artificial intelligence enables more personalized, adaptive, and effective learning through intelligent recommendation systems, religious chatbots, and learning behavior analytics. The use of big data helps educational institutions map students’ moral and religious tendencies more accurately, while digital hyperconnectivity creates global and interactive spaces for religious learning. However, the study also identifies ethical challenges related to the validity of religious sources, the risk of technological dependency, and the potential weakening of spiritual depth. Therefore, the ideal integration is one that positions technology as a means of support, while maintaining the core values of tawhid, adab, and moral character as the primary foundation of Islamic education.

References

Al-Faruqi, Ismail Raji. Islamization of Knowledge. Herndon: IIIT, 2024.

Arifin, Zainal. Penelitian Pendidikan: Teori dan Praktik. Bandung: Remaja Rosdakarya, 2024.

Azra, Azyumardi. Pendidikan Islam dalam Transformasi Digital. Jakarta: Kencana, 2024.

Azra, Azyumardi. Rekonstruksi Pendidikan Islam di Era Digital. Jakarta: Kencana, 2024.

Campbell, Heidi A. Digital Religion: Understanding Religious Practice in New Media Worlds. New York: Routledge, 2024.

Coeckelbergh, Mark. AI Ethics and Religion in the Age of Big Data. Cambridge: Polity Press, 2025.

Creswell, John W. Qualitative Inquiry and Research Design. California: SAGE Publications, 2024.

Fitriani, Amalia Dwi. Implementasi Teknologi AI (Artificial Intelligence) pada Pembelajaran Pendidikan Agama Islam. Wildan: Jurnal Pendidikan dan Pengajaran. Semarang: STAI Bani Saleh, 2025.

Flick, Uwe. An Introduction to Qualitative Research. London: Sage Publications, 2024.

Kamali, Mohammad Hashim. Education, Ethics and Technology in Contemporary Islam. Kuala Lumpur: Ilmiah Publishers, 2024.

Maliki, Zainuddin. Sosiologi Pendidikan di Era Teknologi. Malang: UMM Press, 2024.

Nata, Abuddin. Metodologi Studi Islam di Era Digital. Jakarta: Kencana, 2024.

OECD. Big Data and Education. Paris: OECD Publishing, 2024.

Ramadan, Tariq. Islamic Education in the Digital World. Oxford: Oxford University Press, 2024.

Rois, Muhammad Aminuddin, Rohmad Nurul Aji Saputra, and Ahmad Saefudin. Peran Artificial Intelligence dalam Meningkatkan Kualitas Pendidikan Agama Islam. Idarah Tarbawiyah: Journal of Management in Islamic Education. Jepara: UIKA Bogor, 2025.

Sardar, Ziauddin. Islam, Artificial Intelligence and the Future of Knowledge. London: Routledge, 2024.

Selwyn, Neil. Artificial Intelligence and the Future of Education. New York: Bloomsbury, 2024.

Selwyn, Neil. Digital Education After 2024: Critical Perspectives on AI and Big Data in Learning. New York: Bloomsbury, 2024.

Sugiyono. Metode Penelitian Kualitatif, Kuantitatif, dan R&D. Bandung: Alfabeta, 2024.

UNESCO. Artificial Intelligence and Education: Global Perspectives. Paris: UNESCO Publishing, 2024.

UNESCO. Artificial Intelligence and the Future of Education. Paris: UNESCO Publishing, 2024.

UNESCO. Global Education and Hyperconnectivity in the Digital Age. Paris: UNESCO Publishing, 2024.

Published

2026-03-28

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Artikel