Epistemological Analysis of the Integration of the Merdeka Curriculum and Deep Learning Technology in Islamic Education in the Digital Era

Muhammad Nadhif Syuhada, Helmiati Helmiati, Hariza Hasyim

Abstract


The transformation of education in the digital era has shifted the paradigm from conventional learning systems toward more adaptive, personalized, and technology-based models. This study aims to analyze the epistemological integration between the Merdeka Curriculum and deep learning technology within the development of Islamic education in the digital age. The research employed a library research method using content analysis of academic books, scholarly articles, and relevant policy documents. The findings reveal that the integration offers significant opportunities, including enhanced learning personalization, strengthened spiritual digital literacy, and pedagogical efficiency through adaptive learning systems. However, the study also identifies several epistemological and ethical challenges, such as value bias within algorithms, the risk of reducing spiritual dimensions into computational data, and limitations in digital competence among Islamic education teachers and institutional infrastructures. Epistemologically, the integration of technology in Islamic education must remain grounded in the principles of tawhid, adab, and maq??id al-tarbiyah to prevent fragmentation between knowledge and values. This study contributes theoretically by proposing an epistemological integration framework between curriculum and technology, and practically by offering insights for developing Islamic pedagogy that remains ethically and spiritually rooted while adapting to digital advancements.

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References


Al-Attas, S. M. N. (1980). The concept of education in Islam. ISTAC.

Al-Attas, S. M. N. (1993). Islam and secularism. International Institute of Islamic Thought and Civilization (ISTAC).

Al-Attas, S. M. N. (1995). Prolegomena to the metaphysics of Islam. ISTAC.

Al-Attas, S. M. N. (2018). On justice and the nature of man. Ta’dib International, 5(1), 5–19.

Aldoobie, N. (2015). Constructivism theory: A literature review. International Journal of Humanities and Social Science Research, 3(7), 57–62.

Al-Ghazali. (2015). The revival of the religious sciences (Ihya’ Ulum al-Din) (F. Karim, Trans.). Islamic Book Trust. (Original work published ca. 1100)

Alparslan, A. (2019). Epistemological challenges of AI in Islamic education. Journal of Islamic Science and Technology, 5(2), 30–42.

Alparslan, A. (2019). Islamization of artificial intelligence: Ethical and epistemological perspectives. Journal of Islamic Science and Technology, 5(2), 30–45.

Bengio, Y., Goodfellow, I., & Courville, A. (2017). Deep learning. MIT Press.

Biggs, J., & Tang, C. (2011). Teaching for quality learning at university. McGraw-Hill.

Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W.W. Norton.

Crawford, K. (2021). Atlas of AI. Yale University Press.

Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140.

Dede, C. (2010). Comparing frameworks for 21st century skills. In 21st century skills (pp. 51–76). Springer.

Dewey, J. (1938). Experience and education. Macmillan.

Ghoniyah, N., & Fajriah, N. (2022). Kurikulum Merdeka dan transformasi pembelajaran. Jurnal Pendidikan Nasional, 13(2), 45–59.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.

Gusmão, M. (2021). Artificial intelligence in religious education: A conceptual analysis. Journal of Philosophy of Education, 55(4), 678–692.

Hidayat, A. (2023). Artificial intelligence and Islamic ethics: Challenges and opportunities. Journal of Islamic Studies, 32(1), 80–98.

Hidayat, M. (2023). Digital transformation and Islamic education in the post-pandemic era. Jurnal Tarbiyah Digital, 4(1), 26–34.

Husaini, A. (2023). Etika teknologi dalam pendidikan Islam. Jurnal Ilmiah Filsafat Islam, 7(2), 81–90.

Junaidi. (2022). AI ethics in education: Challenges for Islamic pedagogy. Al-Ta’dib Journal, 18(1), 59–70.

Kemendikbudristek. (2021). Panduan implementasi Kurikulum Merdeka. Jakarta: Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.

Nasr, S. H. (2015). Knowledge and the sacred. SUNY Press.

Noor, N., & Rahman, S. (2022). Systematic literature review in contemporary Islamic education research. Journal of Islamic Educational Studies, 11(2), 75–89.

Rahman, R., & Hasanah, S. (2024). AI and tajweed learning systems: Integrating technology into Islamic education. Indonesian Journal of AI and Education, 3(2), 45–55.

Rahmat, A. (2024). Profil Pelajar Pancasila dan integrasi nilai Islam dalam Kurikulum Merdeka. Jurnal Pendidikan Karakter Islami, 12(1), 15–24.

Saleh, M., & Hasanah, R. (2024). Deep learning applications in adaptive education systems. Indonesian Journal of AI and Education, 3(2), 41–52.

Suryani, D., & Putra, L. H. (2023). Implementasi Kurikulum Merdeka dan tantangan diferensiasi pembelajaran. Jurnal Pendidikan Nasional, 5(2), 87–96.

White, M., & Marsh, E. (2007). Content analysis as a research method. Journal of Documentation, 63(4), 452–466.

Williams, P. J. B. (2020). Education and knowledge in the digital age: Rethinking 21st century competencies. Journal of Contemporary Learning, 12(3), 145–158.

Yunus, R. (2023). Digital literacy competence of Islamic teachers in Indonesia. Jurnal Pendidikan Islam Digital, 5(2), 65–75.

Zed, M. (2014). Metode penelitian kepustakaan. Yayasan Obor.

Kukulska-Hulme, A. (2020). Will mobile learning change language learning? ReCALL, 32(1), 1–8.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.

Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.

Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). SAGE.

Mohamed, Y., & Othman, N. (2020). Maqasid al-tarbiyah: Foundations and contemporary educational applications. Journal of Islamic Education, 5(2), 112–130.

Murphy, K. P. (2022). Probabilistic machine learning: An introduction. MIT Press.

Rahman, F. (2021). Islamic education in the digital era: Challenges and opportunities. Journal of Islamic Pedagogy, 4(1), 55–72.

Salakhutdinov, R. (2019). Deep learning in education: Potentials and pitfalls. AI in Education Review, 11(3), 20–35.

Shahroom, A. A., & Hussin, N. (2018). Industrial Revolution 4.0 and education. International Journal of Academic Research in Business and Social Sciences, 8(9), 314–319.

Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1), 3–10.

Srivastava, S., & Sahni, S. (2021). Natural language processing applications for religious text analysis. Journal of Digital Humanities, 10(2), 120–135.

Zawawi, M. (2019). Akal, wahyu dan integrasi ilmu dalam perspektif pendidikan Islam. Jurnal Tarbiyah, 26(1), 1–18.




DOI: https://doi.org/10.56114/edu.v4i3.12845

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