1. Home
  2. Vol 42, No 1 (2025)
  3. Dwi Fajri

Integration of Deep Learning in Teaching Local Wisdom Values in Islamic Education

Muhammad Dwi Fajri, Amrin Amrin

Abstract


This study explores applying deep learning technology to enhance the teaching of local wisdom values in Islamic education. In the artificial intelligence era, integrating its capabilities in education is on the rise, but teaching local wisdom has not yet kept up with modern technology. A qualitative approach with a literature review focused on the application of deep learning in Islamic education is addressed in this study. The survey results show that deep learning can create adaptive learning systems that tailor the materials based on students' characteristics. Such systems can enrich learners ' experiences, enhance understanding of Islamic values, and improve younger learners' character development through local wisdom, Islamic teachings, and ethics more efficiently. Other possibilities include automated analysis of students' learning behaviors for personalized instruction, easy interaction with the educational materials, and learning through experiences. Therefore, integrating deep learning technology into Islamic education could offer innovative approaches to guard and disseminate teaching local wisdom in light of modern technological advancements.

Keywords


Deep learning, local wisdom, islamic education, adaptive learning

References


Al-Attas, S. M. N. (2011). Islam dan Sekularisme. Institut PIMPIN.

Amna Saleem, Huma Kausar, & Farah Deeba. (2021). Social Constructivism: A New Paradigm in Teaching and Learning Environment. PERENNIAL JOURNAL OF HISTORY, 2(2), 403–421. https://doi.org/10.52700/pjh.v2i2.86

Amrin, Muthoifin, Shobron, S., & Putra, H. R. (2020). Islamic Values in the Peta Kapanca Tradition at the Mbojo Community tribe’s Marriage in West Nusa Tenggara, Indonesia. Cakrawala: Jurnal Studi Islam, 15(2), 93–104. https://doi.org/10.31603/cakrawala.3405

Asmayawati, Yufiarti, & Yetti, E. (2024). Pedagogical innovation and curricular adaptation in enhancing digital literacy: A local wisdom approach for sustainable development in Indonesia context. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100233. https://doi.org/https://doi.org/10.1016/j.joitmc.2024.100233

Begam, A. A., & Tholappan, A. (2018). Psychomotor Domain of Bloom’s Taxonomy in Teacher Education. SHANLAX International Journal of Education, 6(3), 11–14. https://doi.org/10.5281/zenodo.1299766

Cavas, B., & Cavas, P. (2020). Multiple Intelligences Theory—Howard Gardner. In B. Akpan & T. J. Kennedy (Eds.), Science Education in Theory and Practice: An Introductory Guide to Learning Theory (pp. 405–418). Springer International Publishing. https://doi.org/10.1007/978-3-030-43620-9_27

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage publications.

Crook, C., & Sutherland, R. (2017). Technology and Theories of Learning. In E. Duval, M. Sharples, & R. Sutherland (Eds.), Technology Enhanced Learning: Research Themes (pp. 11–27). Springer International Publishing. https://doi.org/10.1007/978-3-319-02600-8_2

Ezzaim, A., Dahbi, A., Aqqal, A., & Haidine, A. (2024). AI-based learning style detection in adaptive learning systems: a systematic literature review. Journal of Computers in Education. https://doi.org/10.1007/s40692-024-00328-9

Fantin Irudaya Raj, E., & Balaji, M. (2022). Application of Deep Learning and Machine Learning in Pattern Recognition. In N. Kumar, C. Shahnaz, K. Kumar, M. Abed Mohammed, & R. S. Raw (Eds.), Advance Concepts of Image Processing and Pattern Recognition: Effective Solution for Global Challenges (pp. 63–89). Springer Singapore. https://doi.org/10.1007/978-981-16-9324-3_4

Ferianto, F., Munafiah, N., Makbul, M., & Firmansyah, F. (2024). Ibnu Khaldun’s Constructivism in Islamic Education. Al-Hayat: Journal of Islamic Education, 8(2), 550–561. https://www.alhayat.or.id/index.php/alhayat/article/view/557

Firmansyah, D., & Saepuloh, D. (2022). Social Learning Theory: Cognitive and Behavioral Approaches. Jurnal Ilmiah Pendidikan Holistik (JIPH), 1(3), 297–324. https://journal.formosapublisher.org/index.php/jiph/index

Floridi, L. (2023). The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. Oxford University Press.

Ghozali, A. H. (2005). Ihya Ulumuddin (2nd ed.).

Goyibova, N., Muslimov, N., Sabirova, G., Kadirova, N., & Samatova, B. (2025). Differentiation approach in education: Tailoring instruction for diverse learner needs. MethodsX, 14, 103163. https://doi.org/https://doi.org/10.1016/j.mex.2025.103163

Hoque, M. E. (2016). Three Domains of Learning: Cognitive, Affective and Psychomotor. The Journal of EFL Education and Research, 2, 2520–5897. www.edrc-jefler.org

Irwanti, M., Ramírez-Coronel, A. A., Kumar, T., Muda, I., Al-Khafaji, F. A. H., Alsalami, H. T., & Hassan, A. Y. (2023). The study of freedom of expression in Islamic teachings with an emphasis on Nahj al-Balagha. HTS Teologiese Studies / Theological Studies, 79(1), 1–7. https://doi.org/10.4102/hts.v79i1.8368

Khaldun, A. I. (998). Muqaddimah al-‘Allamah Ibn Khaldun. Dar al Fikr.

Kolb, A., & Kolb, D. (2018). Eight important things to know about the experiential learning cycle. Australian Educational Leader, 40(3), 8–14. https://search.informit.org/doi/10.3316/informit.192540196827567

Kop, R. (2023). Digital Learning and the Promise of Connectivism for Adult Education. In Understanding the Adult Learner. Routledge.

Luqmi, F. Z., Patimah, S., Pahrudin, A., & Rohmatika, R. V. (2024). Artificial Intelligent in the Development of Islamic Education Learning in the Digital Age : A Literature Review Analysis. TADRIB: Jurnal Pendidikan Agama Islam, 10(1), 303–312. https://doi.org/https://doi.org/10.19109/bwcn7114

Maharana, K. C., & Acharya, S. (2024). Cloud-Based Virtual Reality (VR) in Education. International Journal of Research Publication and Reviews, 5(2), 2300–2309. https://doi.org/10.2139/ssrn.4909110

Maisyanah, Rahman, A., Kholis, N., Bakar, M. Y. A., & Hasan, A. A. Al. (2024). Living Qur’an Approach to Improve Critical Thinking Skills in Islamic Religious Education Learning. Al-Hayat: Journal of Islamic Education, 8(4), 1383–1398. https://doi.org/10.35723/ajie.v8i4.7

Mayer, R. E. (2024). The Past, Present, and Future of the Cognitive Theory of Multimedia Learning. Educational Psychology Review, 36(1), 8. https://doi.org/10.1007/s10648-023-09842-1

Mohamad, N. hidayah, & Ismail, N. I. (2024). Islamic Education And Artificial Intelligence: Does Is Required? International Journal of Islamic Theology & Civilization, 2(3), 1–9. https://doi.org/10.5281/zenodo.13932924

Morris, T. H. (2019). Self-directed learning: A fundamental competence in a rapidly changing world. International Review of Education, 65(4), 633–653. https://doi.org/10.1007/s11159-019-09793-2

Mujahid, I. (2021). Islamic orthodoxy-based character education: creating moderate Muslim in a modern pesantren in Indonesia. Indonesian Journal of Islam and Muslim Societies, 11(2), 185–212. https://doi.org/10.18326/ijims.v11i2.185-212

Mukhlis, H., Haenilah, E. Y., Sunyono, Maulina, D., Nursafitri, L., Nurfaizal, & Noerhasmalina. (2024). Connectivism and digital age education: Insights, challenges, and future directions. Kasetsart Journal of Social Sciences, 45(3), 803–814. https://doi.org/10.34044/j.kjss.2024.45.3.11

Musolin, M. H., Serour, R. O. H., Siregar, M., Hamid, S. A., Ismail, A., Huda, M., & Rohim, M. A. (2024). Developing Personalised Islamic Learning in Digital Age: Pedagogical and Technological Integration for Open Learning Resources (OLR). In X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of Ninth International Congress on Information and Communication Technology (pp. 11–25). Springer Nature Singapore.

Nasir, M., Syamsul, R., Basri, & and Pabbajah, M. (2024). Revolutionizing Teungku Dayah learning model: exploring the transformative impact of technological advancements on Islamic education in Aceh. Cogent Education, 11(1), 2335720. https://doi.org/10.1080/2331186X.2024.2335720

Nasucha, M. R., Khozin, K., & Thoifah, I. (2023). Synergizing Islamic Religious Education and Scientific Learning in the 21st Century: A Systematic Review of Literature. Jurnal Pendidikan Agama Islam (Journal of Islamic Education Studies), 11(1), 109–130. https://doi.org/10.15642/jpai.2023.11.1.109-130

Nur, I., Adam, S., & Muttaqien, M. N. (2020). Maqāṣid Al-Sharī‘at: The Main Reference and Ethical-Spiritual Foundation for the Dynamization Process of Islamic Law. Ahkam: Jurnal Ilmu Syariah, 20(2), 331–360. https://doi.org/10.15408/ajis.v20i2.18333

Nurhadi, N., & Harahap, M. I. (2021). Teacher’s Responsibility in Islamic Education (Relevance of Hamka and Hasan Langgulung Thought). Palapa, 9(1), 137–181. https://doi.org/10.36088/palapa.v9i1.1065

O’Neill, G., & and Short, A. (2025). Relevant, practical and connected to the real world: what higher education students say engages them in the curriculum. Irish Educational Studies, 44(1), 23–40. https://doi.org/10.1080/03323315.2023.2221663

Oker, A., Pecune, F., & Declercq, C. (2020). Virtual tutor and pupil interaction: A study of empathic feedback as extrinsic motivation for learning. Education and Information Technologies, 25(5), 3643–3658. https://doi.org/10.1007/s10639-020-10123-5

Poya, A., & Rizapoor, H. (2023). Al-Ghazali’s Theory of Real Knowledge: An Exploration of Knowledge Integration in Islamic Epistemology through Contemporary Perspectives. International Journal Of Humanities Education and Social Sciences, 3(2). https://doi.org/10.55227/ijhess.v3i2.627

Qiu, S. (2024). Improving Performance of Smart Education Systems by Integrating Machine Learning on Edge Devices and Cloud in Educational Institutions. Journal of Grid Computing, 22(1), 41. https://doi.org/10.1007/s10723-024-09755-5

Raza, S. A., Qazi, W., & Umer, B. (2020). Examining the impact of case-based learning on student engagement, learning motivation and learning performance among university students. Journal of Applied Research in Higher Education, 12(3), 517–533. https://doi.org/10.1108/JARHE-05-2019-0105

Rumjaun, A., & Narod, F. (2020). Social Learning Theory—Albert Bandura. In B. Akpan & T. J. Kennedy (Eds.), Science Education in Theory and Practice: An Introductory Guide to Learning Theory (pp. 85–99). Springer International Publishing. https://doi.org/10.1007/978-3-030-43620-9_7

Sahin, A. (2021). Love of Learning as a Humanizing Pedagogic Vocation: Perspectives from Traditions of Higher Education in Islam. In V. de Rijke, A. Peterson, & P. Gibbs (Eds.), Higher Education and Love: Institutional, Pedagogical and Personal Trajectories (pp. 137–187). Springer International Publishing. https://doi.org/10.1007/978-3-030-82371-9_8

Sanjani, M. A. F., Zain, B., & Mustofa, M. L. (2024). Islam and Local Wisdom: Integration of Local Values in Islamic Thought. Journal of Social Studies and Education, 2(1), 27–43. https://doi.org/10.61987/jsse.v2i1.567

Saputro, A. D., Sudarmadi, Rois, A. K., Arifin, S., Arifin, J., & Wulandari, M. (2024). The Role of Science in Islamic Religious Education in the Modern Era. Proceedings of the 4th Borobudur International Symposium on Humanities and Social Science, 2022, 1129–1137. https://doi.org/10.2991/978-2-38476-118-0_129

Shoaib, M., Sayed, N., Singh, J., Shafi, J., Khan, S., & Ali, F. (2024). AI student success predictor: Enhancing personalized learning in campus management systems. Computers in Human Behavior, 158, 108301. https://doi.org/https://doi.org/10.1016/j.chb.2024.108301

Shobron, A., & Rosyadi, Imron, M. (2020). Islamic Education Values in the Tradition of Peta Kapanca of Mbojo Community Tribe in West Nusa Tenggara. International Journal of Advanced Science and Technology, 29(5), 6802–6812.

Silalahi, S. A., Zainal, A., & Sagala, G. H. (2022). The Importance of Deep Learning on Constructivism Approach. Proceedings of the 2nd International Conference of Strategic Issues on Economics, Business and, Education (ICoSIEBE 2021), 243–246. https://doi.org/10.2991/aebmr.k.220104.036

Skulmowski, A., & Xu, K. M. (2022). Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load. Educational Psychology Review, 34(1), 171–196. https://doi.org/10.1007/s10648-021-09624-7

Stapleton, L., & Stefaniak, J. (2019). Cognitive Constructivism: Revisiting Jerome Bruner’s Influence on Instructional Design Practices. TechTrends, 63(1), 4–5. https://doi.org/10.1007/s11528-018-0356-8

Sugiyono. (2017). Metode Penelitian Kombinasi (Mixed Methods) (Cetakan ke). Penerbit Alfabeta.

Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68(1), 1–16. https://doi.org/10.1007/s11423-019-09701-3

Syafieh. (2020). Islamic Renewal Project: Ḥassan Ḥanafī and Indonesian Intellectual Muslims. Journal of Islamic Thought and Muslim Culture (JITMC), 2(2), 115–133. http://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib&db=bth&AN=92948285&site=eds-live&scope=site%0Ahttp://bimpactassessment.net/sites/all/themes/bcorp_impact/pdfs/em_stakeholder_engagement.pdf%0Ahttps://www.glo-bus.com/help/helpFiles/CDJ-Pa

Usman, Bahraeni, Nurhilaliyah, & Rahman, A. F. (2024). The Development of Teaching Materials for Islamic Religious Education Courses Based on Local Wisdom at Public State Universities. Lentera Pendidikan : Jurnal Ilmu Tarbiyah Dan Keguruan, 27(2), 335–347. https://doi.org/10.24252/lp.2024v27n2i5

Vargas, E. A. (2017). B. F. Skinner’s theory of behavior. European Journal of Behavior Analysis, 18(1), 2–38. https://doi.org/10.1080/15021149.2015.1065640

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/https://doi.org/10.1016/j.eswa.2024.124167

Wartini, A. (2016). Education Character In View Of Al-Ghazali And Its Relevance With The Education Character In Indonesia. Ta’dib: Jurnal Pendidikan Islam, 20(2), 293–310. https://doi.org/10.19109/td.v20i2.222

Weng, C., Chen, C., & Ai, X. (2023). A pedagogical study on promoting students’ deep learning through design-based learning. International Journal of Technology and Design Education, 33(4), 1653–1674. https://doi.org/10.1007/s10798-022-09789-4

Wu, Shu-Fen, Lu, Yu-Ling, & Lien, Chi-Jui. (2020). Detecting Students’ Flow States and Their Construct Through Electroencephalogram: Reflective Flow Experiences, Balance of Challenge and Skill, and Sense of Control. Journal of Educational Computing Research, 58(8), 1515–1540. https://doi.org/10.1177/0735633120944084

Wu, X.-Y. (2024). Exploring the effects of digital technology on deep learning: a meta-analysis. Education and Information Technologies, 29(1), 425–458. https://doi.org/10.1007/s10639-023-12307-1

Yusron, E., & Sudiyatno, S. (2021). How is the impact of Assessment for Learning (AfL) on mathematics learning in elementary schools? Jurnal Prima Edukasia, 9(1), 75–84. https://doi.org/10.21831/jpe.v9i1.34865


Full Text: PDF

DOI: 10.15408/mimbar.v42i1.45709

Refbacks

  • There are currently no refbacks.


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