Artificial Intelligence in Self-Regulated Learning of Islamic Religious Education: Opportunities and Challenges for Teachers
Keywords:
Artificial Intelligence, self-regulated learning, Islamic Religious Education, opportunities and challenges, PAI teachersAbstract
The development of Artificial Intelligence (AI) has opened up both new opportunities and challenges in Islamic Religious Education (PAI), particularly as a medium for self-regulated learning. This study aims to: (1) describe the concept of utilizing AI as a medium for self-regulated learning in PAI; (2) identify strategic opportunities for PAI teachers; and (3) analyze the challenges faced by PAI teachers along with alternative solutions. This research employs a library research method with a qualitative-descriptive approach. Data sources consist of nationally and internationally accredited journal articles published between 2020 and 2025 that discuss AI in PAI learning. Data collection techniques utilized documentation through searches of academic databases such as Google Scholar, DOAJ, Garuda, and the Sinta portal. Data analysis was conducted using content analysis with a thematic approach based on the model by Miles, Huberman, and Saldaña. The findings reveal three main results. First, the concept of utilizing AI as a medium for self-regulated learning in PAI encompasses three dimensions: accessibility (24/7 learning anytime, anywhere), personalization (materials tailored to individual student needs), and interactivity (direct and adaptive feedback). Second, strategic opportunities for PAI teachers include increased time efficiency, enrichment of learning resources, personalization of learning, increased student motivation, and professional competency development. Third, the main challenges faced by PAI teachers include limited teacher digital literacy, concerns over student misuse of AI, limited infrastructure and the digital divide, as well as ethical and moral issues such as the risk of inaccurate information, AI bias, and reduced direct teacher-student interaction. This study concludes that AI should be positioned as a "teacher's partner" that assists with cognitive and repetitive tasks, not as a replacement for teachers. Consequently, a transformation of the PAI teacher's role into that of an adaptive facilitator, material validator, and moral guide in the digital era is necessary.
References
Abdullah, M. A. (2020). Multidisiplin, interdisiplin, dan transdisiplin: metode studi agama dan studi Islam di era kontemporer. Yogyakarta: UGM Press.
Ahmad, A., & Nasir, M. (2021). Peran guru Pendidikan Agama Islam di era digital: Tantangan dan peluang. Jurnal Pendidikan Agama Islam Al-Thariqah, 6(2), 112-128. https://doi.org/10.25299/al-thariqah.2021.vol6(2).6789
Auwaliyah, R., Syarif, M., & Rohmad, M. A. (2025). Dinamika penggunaan Artificial Intelligence (AI) dalam pembelajaran Pendidikan Agama Islam di SMA. Jurnal Pendidikan Islam, 6(2), 145-162. https://doi.org/10.30863/attadib.v6i2.10339
Azevedo, R., & Gašević, D. (2019). Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges. Computers in Human Behavior, 96, 207-210. https://doi.org/10.1016/j.chb.2019.03.025
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Thousand Oaks, CA: Sage Publications.
Damayanti, D. R. A., & Ridwan, A. (2024). Perubahan Sosial dan Pendidikan dalam Peran Guru PAI di Era Digital. Social Studies in Education, 2(2), 123–138. https://doi.org/10.15642/sse.2024.2.2.123-138
Ds, E. J., Annisa, D., Ghozali, G., & Zahro, S. F. (2026). Strengthening critical religious literacy in the age of artificial intelligence: The role of Islamic education. Journal UMSU. https://jurnal.umsu.ac.id/index.php/insis/article/view/29528
Fauzi, M. R., Zahro, S. F., Bashith, A., & Hakim, M. J. M. (2025). Peluang dan tantangan integrasi Artificial Intelligence dalam evaluasi pembelajaran Pendidikan Agama Islam. EDUCASIA: Jurnal Pendidikan, Pengajaran, dan Pembelajaran, 10(2), 217–227. https://doi.org/10.21462/educasia.v10i2.345
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1
Fukuyama, M. (2018). Society 5.0: Aiming for a new human-centered society. Japan Spotlight, 27(5), 47-51.
Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information & Libraries Journal, 26(2), 91-108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Boston: Center for Curriculum Redesign.
Holmes, W., & Mavrikis, M. (2019). Intelligent learning environments: Design, usage, and analytics for future schools. In Shaping future schools with digital technology (pp. 57-73). Singapore: Springer.
Hwang, G. J., & Tu, Y. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Beverly Hills, CA: Sage Publications.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. London: Pearson Education.
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). Thousand Oaks, CA: Sage Publications.
Misbah, I., Misbah, I., Munir, M., & Megasari, R. (2025). Inovasi isi pembelajaran informatika melalui studi perbandingan Indonesia, Amerika, dan Jepang. Jurnal Pendidikan Tambusai, 9(1), 11576–11586. https://doi.org/10.31004/jptam.v9i1.26567
Muhtaram, M., Nurhaslin, M. I., & Nur, M. (2025). Peningkatan kompetensi digital guru PAI melalui pemanfaatan tools Artificial Intelligence. Journal Tomacca, IAIN Parepare. https://ejurnal.iainpare.ac.id/index.php/tomacca/article/view/13044
Ramdhani, D., & Hakiman, H. (2025). From digital learning to artificial intelligence: Enhancing autonomy among students of Islamic education. Journal of Educational Management and Instruction (JEMIN), 5(2), 319–334. https://doi.org/10.22515/jemin.v5i2.10221
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Cambridge: Polity Press.
Sormin, M. R., Tobroni, T., & Faridi, F. (2025). Pembelajaran akidah berbasis Artificial Intelligence (AI) dalam meningkatkan minat belajar siswa di SMAN 5 Padangsidempuan. Al-Muaddib: Jurnal Ilmu-Ilmu Sosial dan Keislaman, 10(1), 1-13. https://doi.org/10.31604/muaddib.v10i1.1-13
Syamsidar, H. S. (2026). The effects of artificial intelligence-assisted learning in science and religious education on critical and ethical thinking. Journal UMSU. https://doi.org/10.3059/insis.v0i0.29621
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research and future directions. Computers and Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Suyitno Suyitno, Nur Aini (Author)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




