REIMAGINING ISLAMIC EDUCATION IN THE ERA OF GENERATIVE AI: OPPORTUNITIES, ETHICAL RISKS, AND PEDAGOGICAL TRANSFORMATION
Kata Kunci:
Islamic Education, Generative AI, Digital Pedagogy, Epistemological Integrity, Educational TransformationAbstrak
As digital transformation continues to reshape global educational paradigms, the rapid emergence of generative artificial intelligence presents profound implications for culturally and religiously grounded learning systems. Within Islamic education, this technological shift offers unprecedented avenues for scalable, personalized learning and the sophisticated curation of the Turath (Islamic heritage). However, integrating these opaque automated systems into religious pedagogy raises critical risks. At the same time, AI accelerates knowledge retrieval. It simultaneously threatens epistemological integrity through the proliferation of semantic inaccuracies, “hallucinated” jurisprudence, and overreliance that erodes traditional scholarly authority (sanad) and human moral agency (taklīf). Current discourses on educational AI frequently emphasize secular, technical implementations, exposing limitations when applied to culturally nuanced domains where general-purpose language models systematically fail to grasp the deeper maqāṣid (higher objectives) of sacred texts. Addressing this intersection, the research critically examines the pedagogical opportunities and ethical vulnerabilities of deploying generative AI within Islamic learning environments, proposing a transformative pedagogical approach that synthesizes technological innovation with rigorous Islamic ethical principles. Grounded in an analytical and approach-based methodology drawing on recent empirical and textual evaluations of AI performance, the analysis evaluates current AI deployment strategies against the strict necessity for structured grounding in verified Islamic epistemology.
Ultimately, the paper bridges the widening gap between modern AI-driven educational practices and traditional Islamic pedagogical values (ta'dīb), offering a balanced, human-centered blueprint that ensures sustainable, value-aligned digital transformation in religious education.
Referensi
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/10.1145/3442188.3445922
Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Liu, X., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), 1–38. https://doi.org/10.1145/3571730
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdinger, F., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2022). Intelligence unleashed: An argument for AI in education. Pearson.
OECD. (2021). Artificial intelligence and education: Guidance for policymakers. OECD Publishing. https://doi.org/10.1787/ea4c0c67-en
OpenAI. (2023). GPT-4 technical report. https://arxiv.org/abs/2303.08774
Sahin, A. (2021). Critical issues in Islamic education studies: Rethinking Islamic and Western liberal secular values of education. Springer.
Selwyn, N. (2022). Education and technology: Key issues and debates (3rd ed.). Bloomsbury Academic.
UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO Publishing.
Williamson, B., & Eynon, R. (2022). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 47(2), 223–235. https://doi.org/10.1080/17439884.2022.2030798
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2023). Systematic review of artificial intelligence in higher education (2017–2022). International Journal of Educational Technology in Higher Education, 20(1), 1–27. https://doi.org/10.1186/s41239-023-00392-9
