INTEGRATING ARTIFICIAL INTELLIGENCE AND HUMANISTIC VALUES IN ISLAMIC ELEMENTARY EDUCATION
A CASE STUDY AT MADRASAH IBTIDAIYAH NU MA’ARIF KARANGNANGKA
DOI:
https://doi.org/10.30868/ei.v15i02.10039Keywords:
artificial intelligence, humanistic education, Islamic education, digital ethics, madrasah learningAbstract
The integration of artificial intelligence (AI) in education presents both opportunities and ethical challenges, particularly within Islamic education, which emphasizes moral and spiritual values. However, empirical studies examining how AI is humanistically integrated in madrasah contexts remain limited. This study aims to analyze the process of AI integration within value-based Islamic pedagogy and to construct a conceptual Humanistic–AI Learning Model for Islamic elementary education. A qualitative case study was conducted at Madrasah Ibtidaiyah NU Ma’arif Karangnangka, Banyumas, involving five teachers, one principal, and three students selected purposively. Data were collected through semi-structured interviews, participatory observations, and document analysis, and analyzed thematically using Miles and Huberman’s interactive model with triangulation. The findings indicate that AI integration operates as a negotiation between technological literacy and spiritual values. Four themes emerged: (1) the initial construction of AI as an instrumental tool, (2) partial yet humanistically oriented digital pedagogical practices, (3) ethical tensions between technological efficiency and moral integrity, and (4) the role of spiritual leadership in shaping digital transformation. This study contributes a novel Humanistic–AI Learning Model that conceptualizes a dialectical relationship between pedagogical, humanistic, and spiritual dimensions in AI integration. The model extends humanistic learning perspectives by framing AI as an ethical-spiritual practice and provides practical implications for developing ethically grounded, AI-ready madrasahs.
References
Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: a review. Artificial Intelligence Review, 55(1), 589–656. https://doi.org/10.1007/s10462-021-10039-7
Arias, J., Salas, J. I., Chiappe, A., & Sáez Delgado, F. (2025). The Extended Education 4.0: Lifelong Learning in Times of Artificial Intelligence. Applied Sciences (Switzerland), 15(17). https://doi.org/10.3390/app15179352
Ary, D., Jacobs, L., Razavieh, A., & Sorensen, C. (2018). Introduction to Research in Education (10th ed.). In Routledge. Routledge. https://books.google.com/books?id=FqF7n0zGJm0C&pgis=1
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500
Bauer, E., Greiff, S., Graesser, A. C., Scheiter, K., & Sailer, M. (2025). Looking Beyond the Hype : Understanding the Effects of AI on Learning. Educational Psychology Review, 37(2), 1–27. https://doi.org/10.1007/s10648-025-10020-8
Benvenuti, M., Cangelosi, A., Weinberger, A., Mazzoni, E., Benassi, M., Barbaresi, M., & Orsoni, M. (2023). Artificial intelligence and human behavioral development: A perspective on new skills and competences acquisition for the educational context. Computers in Human Behavior, 148(August), 107903. https://doi.org/10.1016/j.chb.2023.107903
Bhutoria, A. (2022). Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education: Artificial Intelligence, 3(January), 100068. https://doi.org/10.1016/j.caeai.2022.100068
Budihal, S., Patil, U., & Iyer, N. (2020). An Integrated approach of course redesign towards enhancement of experiential learning. Procedia Computer Science, 172(2019), 324–330. https://doi.org/10.1016/j.procs.2020.05.052
Carvalho, L., Martinez-Maldonado, R., Tsai, Y. S., Markauskaite, L., & De Laat, M. (2022). How can we design for learning in an AI world? Computers and Education: Artificial Intelligence, 3(July 2021), 100053. https://doi.org/10.1016/j.caeai.2022.100053
Chang, M. A., Tissenbaum, M., Philip, T. M., & D’Mello, S. K. (2025). Co-designing AI with youth partners: Enabling ideal classroom relationships through a novel AI relational privacy ethical framework. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100364
Chaudhry, M. A., & Kazim, E. (2022). Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021. AI and Ethics, 2(1), 157–165. https://doi.org/10.1007/s43681-021-00074-z
Chiu, T. K. F., Meng, H., Chai, C., King, I., & Wong, S. (2022). Creation and Evaluation of a Pretertiary Artificial Intelligence ( AI ) Curriculum. IEEE Transactions on Education, 65(1), 30–39. https://doi.org/10.1109/TE.2021.3085878
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). In SAGE Publication. SAGE Publications.
Dyrbye, L. N., Lipscomb, W., & Thibault, G. (2020). Redesigning the Learning Environment to Promote Learner Well-Being and Professional Development. Academic Medicine, 95(5), 674–678. https://doi.org/10.1097/ACM.0000000000003094
European Commission. (2020). Digital Education Action Plan 2021–2027. European Commission. https://education.ec.europa.eu/focus-topics/digital-education/plan
Farkhatun, U. (2020). Literacy Strengthening: A Case Study of Writing Class Program for Elementary School grade. MUDARRISA: Jurnal Kajian Pendidikan Islam, 12(1), 69–86. https://doi.org/10.18326/mdr.v12i1.69-86
Fitria, T. N. (2021). ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION: USING AI TOOLS FOR TEACHING AND LEARNING PROCESS. Proceeding Seminar Nasional & Call For Papers, (2), 134–147. https://www.blackboard.com/teaching-learning/learning-
Jailani, M., Kusumaningtyas, D. A., & Elbaghdadi, Z. A. (2025). Child Friendly School Learning Ecosystem with a Humanist Religious Approach Through Futuristic Learning at Islamic Elementary School. MUDARRISA: Jurnal Kajian Pendidikan Islam, 17(1), 56–81. https://doi.org/10.18326/mudarrisa.v17i1.3565
Jamaludin, G. M., Al Ghozali, M. I., & Fauzi, R. (2020). The CORE Model for Improving students behavior and learning outcomes the production technology development of Social Sciences Learning. MUDARRISA: Jurnal Kajian Pendidikan Islam, 12(1), 34–50. https://doi.org/10.18326/mdr.v12i1.34-50
Jarrahi, M. H., Askay, D., Eshraghi, A., & Smith, P. (2023). Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons, 66(1), 87–99. https://doi.org/10.1016/j.bushor.2022.03.002
Järvelä, S., Nguyen, A., & Hadwin, A. (2023). Human and artificial intelligence collaboration for socially shared regulation in learning. British Journal of Educational Technology, 54(5), 1057–1076. https://doi.org/10.1111/bjet.13325
Khlaif, Z. N., Alkouk, W. A., Salama, N., & Abu Eideh, B. (2025). Redesigning Assessments for AI-Enhanced Learning: A Framework for Educators in the Generative AI Era. Education Sciences, 15(2). https://doi.org/10.3390/educsci15020174
Kohnke, L., Zou, D., Ou, A. W., & Gu, M. M. (2025). Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100398
Leong, W. Y., & Zhang, J. B. (2025). Ethical Design of AI for Education and Learning Systems. ASM Science Journal, 20(1), 1–9. https://doi.org/10.32802/ASMSCJ.2025.1917
Maslow, A. H. (1970). Motivation and Personality. In Harper & Row. Harper & Row. https://archive.org/details/motivationandper00masl_0
Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative data analysis: A methods sourcebook (4th ed.). In SAGE Publication. SAGE Publications.
Miniankou, R., & Puptsau, A. (2024). Artificial Intelligence as a Tool for Human-Machine Partnership in the Educational Process. Lecture Notes in Networks and Systems, 913 LNNS, 514–527. https://doi.org/10.1007/978-3-031-53598-7_46
Muslim, M. (2024). Internalising Digital Technology in Islamic Education. Scaffolding: Jurnal Pendidikan Islam Dan Multikulturalisme, 6(3). https://doi.org/10.37680/scaffolding.v6i3.6309
Mustakul, S., & Syarovina, M. (2024). Rederingning Blended Learning Models in the Era of Artificial Intelligence. Journal of Blended and Techical Education, 01(1), 1–9. https://doi.org/http://doi.org/10.70764/gdpu-jbte.2024.1(1)-
Qomariah, N., Murtiyasa, B., & Shidiq, G. A. (2023). Integrating ICT to Improve Students’ Achievement in Thematic Learning Islamic Education in the Indonesian School in Bangkok. MUDARRISA: Jurnal Kajian Pendidikan Islam, 15(1), 25–41. https://doi.org/10.18326/mdr.v15i1.25-41
Rahimi, A. R. (2025). Developing and validating the scale of language teachers’ design thinking competency in artificial intelligence language teaching (LTDTAILT). Computers and Education: Artificial Intelligence, 8(May). https://doi.org/10.1016/j.caeai.2025.100420
Rambe, T., & Rajagukguk, K. P. (2021). Development of Science Thematic Learning Media Discovery Learning Model Based on Science, Technology and Society (STM). MUDARRISA: Jurnal Kajian Pendidikan Islam, 13(2), 164–180. https://doi.org/10.18326/mdr.v13i2.164-180
Rogers, C. R. (1983a). Freedom to Learn. In Macmillan/Merrill. Macmillan/Merrill. https://onlinelibrary.wiley.com/doi/book/10.1002/9781118996874
Rogers, C. R. (1983b). Freedom to Learn for the 80’s. In Merrill Publishing Company. Merrill Publishing Company. https://books.google.com/books?id=8hdHAAAAMAAJ
Rogers, C. R., & Maslow, A. H. (1998). Motivation and Personality. In Harper & Row. Harper & Row. https://onlinelibrary.wiley.com/doi/book/10.1002/9781118996874
Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs, developement and wellness. In Progress in Neuro-Psychopharmacology and Biological Psychiatry (Number 5). The Guilford Press.
Shutaleva, A. V., Kerimov, A. A., & Tsiplakova, Y. V. (2019). Humanization of education in digital era. Perspektivy Nauki i Obrazovania, 42(6), 31–43. https://doi.org/10.32744/pse.2019.6.3
Srinivasan, V. (2022). Computers and Education : Artificial Intelligence AI & learning : A preferred future. Computers and Education: Artificial Intelligence, 3(November 2021), 100062. https://doi.org/10.1016/j.caeai.2022.100062
Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial Intelligence in Education: AIEd for Personalised Learning Pathways. Electronic Journal of E-Learning, 20(5), 639–653. https://doi.org/10.34190/ejel.20.5.2597
Trifonova, A., Destéfano, M., & Barajas, M. (2024). Teaching AI to the Next Generation: A Humanistic Approach. Digital Education Review, (45), 115–123. https://doi.org/10.1344/der.2024.45.115-123
UNESCO. (2021). Futures of Education. UNESCO.
Yadav, S. (2024). Reimagining Education With Advanced Technologies: Transformative Pedagogical Shifts Driven by Artificial Intelligence. Impacts of Generative AI on the Future of Research and Education, 1–26. https://doi.org/10.4018/979-8-3693-0884-4.ch001
Yang, W. (2025). Redefining Educational Objectives in the Age of Artificial Intelligence: The SCALE Taxonomy. Tao, 1(2), 100018. https://doi.org/10.1016/j.tao.2025.100018
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J. B., Yuan, J., & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021. https://doi.org/10.1155/2021/8812542
Downloads
Published
Issue
Section
Citation Check
License
Copyright (c) 2026 Donny Khoirul Azis, Irfan Musonif, Syifa Salsabila, Minan Ainur Fatah, Muchammad Aji

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).






