Integration of Artificial Intelligence in Islamic Religious Education Learning: Opportunities, Challenges, and Implementation Strategies Aligned with Islamic Values
DOI:
https://doi.org/10.69900/ag.v6i4.638Keywords:
Artificial Intelligence, Islamic Religious Education, Digital TransformationAbstract
This study aims to analyze the opportunities, challenges, and implementation strategies of artificial intelligence in Islamic Religious Education learning while remaining aligned with Islamic values. This research employs a library research method with a descriptive-analytical approach through the examination of various scholarly sources, including journals, books, academic articles, and educational policy documents. The data analysis technique was conducted through data reduction, categorization, interpretation, and conclusion drawing based on the relevance of the research themes. The findings indicate that the integration of AI in IRE learning offers significant opportunities to enhance learning effectiveness, personalize learning materials, improve educational accessibility, and strengthen students’ digital literacy. However, the implementation of AI also presents challenges, including the potential degradation of spiritual values, technological dependency, ethical issues in data usage, and the limited digital competence of educators. Therefore, implementation strategies are needed that emphasize the integration of Islamic values, the strengthening of teachers’ roles as moral guides, the development of curricula based on Islamic digital ethics, and educational policies that are adaptive to technological advancements
References
Anh, P T N. “Artificial Intelligence (AI) Models for Disease Diagnosis and Prediction of Heart Disease with Artificial Neural Networks (ANN).” Computer Vision and AI Integrated Iot Technologies in the Medical Ecosystem, 2024, 138–51. https://doi.org/10.1201/9781003429609-9.
Babic, B B. “Beware Explanations from AI in Health Care the Benefits of Explainable Artificial Intelligence Are Not What They Appear.” Science 373, no. 6552 (2021): 284–86. https://doi.org/10.1126/science.abg1834.
Bankins, S. “The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work.” Journal of Business Ethics 185, no. 4 (2023): 725–40. https://doi.org/10.1007/s10551-023-05339-7.
Brem, A. “The AI Digital Revolution in Innovation: A Conceptual Framework of Artificial Intelligence Technologies for the Management of Innovation.” IEEE Transactions on Engineering Management 70, no. 2 (2023): 770–76. https://doi.org/10.1109/TEM.2021.3109983.
Chiu, T K F. “Creation and Evaluation of a Pretertiary Artificial Intelligence (AI) Curriculum.” IEEE Transactions on Education 65, no. 1 (2022): 30–39. https://doi.org/10.1109/TE.2021.3085878.
Chowdhury, S. “Unlocking the Value of Artificial Intelligence in Human Resource Management through AI Capability Framework.” Human Resource Management Review 33, no. 1 (2023). https://doi.org/10.1016/j.hrmr.2022.100899.
Cicerone, G. “Regional Artificial Intelligence and the Geography of Environmental Technologies: Does Local AI Knowledge Help Regional Green-Tech Specialization?” Regional Studies 57, no. 2 (2023): 330–43. https://doi.org/10.1080/00343404.2022.2092610.
Crawford, J. “Leadership Is Needed for Ethical ChatGPT: Character, Assessment, and Learning Using Artificial Intelligence (AI).” Journal of University Teaching and Learning Practice 20, no. 3 (2023). https://doi.org/10.53761/1.20.3.02.
Dogan, M E. “The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies.” Applied Sciences Switzerland 13, no. 5 (2023). https://doi.org/10.3390/app13053056.
Elliott, K. “Towards an Equitable Digital Society: Artificial Intelligence (AI) and Corporate Digital Responsibility (CDR).” Society 58, no. 3 (2021): 179–88. https://doi.org/10.1007/s12115-021-00594-8.
Esmaeilzadeh, P. “Challenges and Strategies for Wide-Scale Artificial Intelligence (AI) Deployment in Healthcare Practices: A Perspective for Healthcare Organizations.” Artificial Intelligence in Medicine 151 (2024). https://doi.org/10.1016/j.artmed.2024.102861.
Greenstein, S. “Preserving the Rule of Law in the Era of Artificial Intelligence (AI).” Artificial Intelligence and Law 30, no. 3 (2022): 291–323. https://doi.org/10.1007/s10506-021-09294-4.
Higgins, O. “Artificial Intelligence (AI) and Machine Learning (ML) Based Decision Support Systems in Mental Health: An Integrative Review.” International Journal of Mental Health Nursing 32, no. 4 (2023): 966–78. https://doi.org/10.1111/inm.13114.
Hunde, B Regassa. “Future Prospects of Computer-Aided Design (CAD) – A Review from the Perspective of Artificial Intelligence (AI), Extended Reality, and 3D Printing.” Results in Engineering 14 (2022). https://doi.org/10.1016/j.rineng.2022.100478.
Jang, Y. “Development and Validation of an Instrument to Measure Undergraduate Students’ Attitudes toward the Ethics of Artificial Intelligence (AT-EAI) and Analysis of Its Difference by Gender and Experience of AI Education.” Education and Information Technologies 27, no. 8 (2022): 11635–67. https://doi.org/10.1007/s10639-022-11086-5.
Jarrahi, M H. “Artificial Intelligence and Knowledge Management: A Partnership between Human and AI.” Business Horizons 66, no. 1 (2023): 87–99. https://doi.org/10.1016/j.bushor.2022.03.002.
Jia, X H. “Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness.” Systems 12, no. 3 (2024). https://doi.org/10.3390/systems12030074.
Kashive, N. “Understanding User Perception toward Artificial Intelligence (AI) Enabled e-Learning.” International Journal of Information and Learning Technology 38, no. 1 (2021): 1–19. https://doi.org/10.1108/IJILT-05-2020-0090.
Kaya, F. “The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence.” International Journal of Human Computer Interaction 40, no. 2 (2024): 497–514. https://doi.org/10.1080/10447318.2022.2151730.
Köbis, N. “Artificial Intelligence versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry.” Computers in Human Behavior 114 (2021). https://doi.org/10.1016/j.chb.2020.106553.
Malik, A. “Artificial Intelligence (AI)-Assisted HRM: Towards an Extended Strategic Framework.” Human Resource Management Review 33, no. 1 (2023). https://doi.org/10.1016/j.hrmr.2022.100940.
Mozaffar, M. “Mechanistic Artificial Intelligence (Mechanistic-AI) for Modeling, Design, and Control of Advanced Manufacturing Processes: Current State and Perspectives.” Journal of Materials Processing Technology 302 (2022). https://doi.org/10.1016/j.jmatprotec.2021.117485.
Nahar, S. “Modeling the Effects of Artificial Intelligence (AI)-Based Innovation on Sustainable Development Goals (SDGs): Applying a System Dynamics Perspective in a Cross-Country Setting.” Technological Forecasting and Social Change 201 (2024). https://doi.org/10.1016/j.techfore.2023.123203.
Oosthuizen, K. “Artificial Intelligence in Retail: The AI-Enabled Value Chain.” Australasian Marketing Journal 29, no. 3 (2021): 264–73. https://doi.org/10.1016/j.ausmj.2020.07.007.
Peng, C. “The Effect of Required Warmth on Consumer Acceptance of Artificial Intelligence in Service: The Moderating Role of AI-Human Collaboration.” International Journal of Information Management 66 (2022). https://doi.org/10.1016/j.ijinfomgt.2022.102533.
Perkins, M. “The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment.” Journal of University Teaching and Learning Practice 21, no. 6 (2024). https://doi.org/10.53761/q3azde36.
Quaquebeke, N V. “The Now, New, and Next of Digital Leadership: How Artificial Intelligence (AI) Will Take Over and Change Leadership as We Know It.” Journal of Leadership and Organizational Studies 30, no. 3 (2023): 265–75. https://doi.org/10.1177/15480518231181731.
Robertson, C. “Diverse Patients’ Attitudes towards Artificial Intelligence (AI) in Diagnosis.” Plos Digital Health 2, no. 5 (2023). https://doi.org/10.1371/journal.pdig.0000237.
Sahu, C K. “Artificial Intelligence (AI) in Augmented Reality (AR)-Assisted Manufacturing Applications: A Review.” International Journal of Production Research 59, no. 16 (2021): 4903–59. https://doi.org/10.1080/00207543.2020.1859636.
Serrano, D R. “Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine.” Pharmaceutics 16, no. 10 (2024). https://doi.org/10.3390/pharmaceutics16101328.
Shivaprakash, K N. “Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India.” Sustainability Switzerland 14, no. 12 (2022). https://doi.org/10.3390/su14127154.
Slimi, Z. “Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: An Analysis of Seven Global AI Ethics Policies.” TEM Journal 12, no. 2 (2023): 590–602. https://doi.org/10.18421/TEM122-02.
Stige, Å. “Artificial Intelligence (AI) for User Experience (UX) Design: A Systematic Literature Review and Future Research Agenda.” Information Technology and People 37, no. 6 (2024): 2324–52. https://doi.org/10.1108/ITP-07-2022-0519.
Su, J. “Artificial Intelligence (AI) in Early Childhood Education: Curriculum Design and Future Directions.” Computers and Education Artificial Intelligence 3 (2022). https://doi.org/10.1016/j.caeai.2022.100072.
———. “Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities.” Computers and Education Artificial Intelligence 4 (2023). https://doi.org/10.1016/j.caeai.2023.100124.
Tang, A. “The Importance of Transparency: Declaring the Use of Generative Artificial Intelligence (AI) in Academic Writing.” Journal of Nursing Scholarship 56, no. 2 (2024): 314–18. https://doi.org/10.1111/jnu.12938.
Tripathi, M K. “Evolving Scenario of Big Data and Artificial Intelligence (AI) in Drug Discovery.” Molecular Diversity 25, no. 3 (2021): 1439–60. https://doi.org/10.1007/s11030-021-10256-w.
Wang, K. “Analyzing the Adoption Challenges of the Internet of Things (Iot) and Artificial Intelligence (Ai) for Smart Cities in China.” Sustainability Switzerland 13, no. 19 (2021). https://doi.org/10.3390/su131910983.
Xia, Q. “The Moderating Effects of Gender and Need Satisfaction on Self-Regulated Learning through Artificial Intelligence (AI).” Education and Information Technologies 28, no. 7 (2023): 8691–8713. https://doi.org/10.1007/s10639-022-11547-x.
Yigitcanlar, T. “Responsible Urban Innovation with Local Government Artificial Intelligence (Ai): A Conceptual Framework and Research Agenda.” Journal of Open Innovation Technology Market and Complexity 7, no. 1 (2021): 1–16. https://doi.org/10.3390/joitmc7010071.
Yilmaz, R. “The Effect of Generative Artificial Intelligence (AI)-Based Tool Use on Students’ Computational Thinking Skills, Programming Self-Efficacy and Motivation.” Computers and Education Artificial Intelligence 4 (2023). https://doi.org/10.1016/j.caeai.2023.100147.
Yim, I H Y. “Artificial Intelligence (AI) Learning Tools in K-12 Education: A Scoping Review.” Journal of Computers in Education 12, no. 1 (2025): 93–131. https://doi.org/10.1007/s40692-023-00304-9.
Zhai, X. “A Review of Artificial Intelligence (AI) in Education from 2010 to 2020.” Complexity 2021 (2021). https://doi.org/10.1155/2021/8812542.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Rif'ah Rif'ah, Hidayat Ma'ruf, Husnul Yaqin, Hamdan Hamdan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
