Outcome-Based Education in the Age of Artificial IntelligenceA Thematic Tafsīr Analysis of Curricular Impacts in Islamic Higher Education

Lilis Fauziah Balgis; Syamsudin Ali Nasution; Novi Maryani

doi:10.53515/alqodiri.v24i1.260

Authors

Dr. Lilis Fauziah Balgis Universitas Djuanda, Jawa Barat, Indonesia Indonesia Author
Syamsudin Ali Nasution, Ph.D. Universitas Djuanda, Jawa Barat, Indonesia Indonesia Co Author
Dr. Novi Maryani Universitas Djuanda, Jawa Barat, Indonesia Indonesia Author

DOI:

https://doi.org/10.53515/alqodiri.v24i1.260

Keywords:

Artificial Intelligence, Islamic Higher Education, Maqāṣid al-Sharī‘ah, Outcome-Based Education, Thematic Tafsīr

Abstract

Artificial Intelligence (AI) is increasingly reshaping Outcome-Based Education (OBE) by expanding opportunities for personalized learning, curriculum responsiveness, assessment efficiency, and student support. In Islamic higher education, however, the growing reliance on measurable outcomes and algorithmic processes raises concerns about whether moral, spiritual, relational, and holistic dimensions of learning may receive insufficient attention. This study examines the curricular implications of AI-driven OBE through the perspective of thematic Qur’anic exegesis (tafsīr mawḍū‘ī). Using a qualitative library research design, the study integrates a structured review of contemporary scholarly literature published primarily between 2022 and 2026 with a thematic analysis of relevant Qur’anic concepts and classical and contemporary exegetical sources. The analysis reveals that AI can enhance learning personalization and support the alignment of educational processes with intended outcomes, while also creating concerns related to algorithmic bias, data privacy, transparency, and human agency. These developments are interpreted through the interconnected concepts of ta‘līm, tarbiyah, and ta‘dīb, which emphasize intellectual development, holistic nurturing, and moral cultivation. The study further identifies maqāṣid al-sharī‘ah as a normative basis for evaluating and governing AI in ways that uphold human dignity, intellect, justice, welfare, and accountability. An integrative framework is consequently proposed to connect AI-OBE implementation, ethical governance, competency and character development, and continuous quality improvement. The study concludes that AI should remain an enabling educational instrument guided by human judgment and Islamic ethical principles rather than becoming the primary determinant of educational value.

References

AbuJbara, N. K. (2026). Fostering empathy as a talent among teaching faculty members in higher education. In J. Marques (Ed.), Encyclopedia of diversity, equity, inclusion and spirituality. Springer. https://doi.org/10.1007/978-3-031-76750-0_113

Adamakis, M., & Rachiotis, T. (2025). Artificial intelligence in higher education: A state-of-the-art overview of pedagogical integrity, artificial intelligence literacy, and policy integration. Encyclopedia, 5(4), Article 180. https://doi.org/10.3390/encyclopedia5040180

Agustin, M. C. (2026). AI as a co-regulator: Relational design for strengthening self-regulated learning. Frontiers in Education, 11. https://doi.org/10.3389/feduc.2026.1761602

Ali, Q. I. (2024). Towards more effective summative assessment in OBE: A new framework integrating direct measurements and technology. Discover Education, 3(1), Article 107. https://doi.org/10.1007/s44217-024-00208-5

Allen, S., & Fry, L. W. (2023). A framework for leader, spiritual, and moral development. Journal of Business Ethics, 184(3), 649–663. https://doi.org/10.1007/s10551-022-05116-y

Alwakid, W. N., Dahri, N. A., Humayun, M., & Alwakid, G. N. (2025). Exploring the role of AI and teacher competencies on instructional planning and student performance in an outcome-based education system. Systems, 13(7), Article 517. https://doi.org/10.3390/systems13070517

Aminah, S., Alfa Krisnadhi, A., & Nizar Hidayanto, A. (2025). Ontological framework for the analysis of outcome-based curriculum in higher education. IEEE Access, 13, 31497–31516. https://doi.org/10.1109/ACCESS.2025.3542881

Busuioc, M. (2021). Accountable artificial intelligence: Holding algorithms to account. Public Administration Review, 81(5), 825–836. https://doi.org/10.1111/puar.13293

Cheong, B. C. (2024). Transparency and accountability in AI systems: Safeguarding wellbeing in the age of algorithmic decision-making. Frontiers in Human Dynamics, 6. https://doi.org/10.3389/fhumd.2024.1421273

Chu, T. S., & Ashraf, M. (2025). Artificial intelligence in curriculum design: A data-driven approach to higher education innovation. Knowledge, 5(3), Article 14. https://doi.org/10.3390/knowledge5030014

De Caro, M., Navarini, C., & Vaccarezza, M. S. (2024). Why practical wisdom cannot be eliminated. Topoi, 43(3), 895–910. https://doi.org/10.1007/s11245-024-10030-1

Du Plooy, E., Casteleijn, D., & Franzsen, D. (2024). Personalized adaptive learning in higher education: A scoping review of key characteristics and impact on academic performance and engagement. Heliyon, 10(21), e39630. https://doi.org/10.1016/j.heliyon.2024.e39630

Elihami, E., Masuwd, M. A., Sheerly, S., Ismail, I., Sitonda, S., & Sudirman, M. Y. (2024). Data-driven approaches in Islamic quality management and education technology for advancing sustainable development goals. Jurnal Pendidikan Progresif, 14(3), 1599–1616. https://doi.org/10.23960/jpp.v14.i3.2024109

Elmahjub, E. (2023). Artificial intelligence (AI) in Islamic ethics: Towards pluralist ethical benchmarking for AI. Philosophy & Technology, 36(4), Article 73. https://doi.org/10.1007/s13347-023-00668-x

Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), Article 692. https://doi.org/10.3390/educsci13070692

Habib, Z. (2025). Ethics of artificial intelligence in Maqāṣid al-Sharīʿa’s perspective. KARSA: Journal of Social and Islamic Culture, 33(1), 105–134. https://doi.org/10.19105/karsa.v33i1.19617

Hao, Z., Cao, J., Li, R., Yu, J., Liu, Z., & Zhang, Y. (2026). Mapping student-AI interaction dynamics in multi-agent learning environments: Supporting personalized learning and reducing performance gaps. Computers & Education, 241, Article 105472. https://doi.org/10.1016/j.compedu.2025.105472

Hummel, S. (2025). Ethical and responsible AI in education: Situated ethics for democratic learning. Education Sciences, 15(12), Article 1594. https://doi.org/10.3390/educsci15121594

Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia. (2023). Peraturan Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia Nomor 53 Tahun 2023 tentang penjaminan mutu pendidikan tinggi.

Khlaif, Z. N., Salha, S., Fareed, S., & Rashed, H. (2021). The hidden shadow of coronavirus on education in developing countries. Online Learning, 25(1), 269–285.

Kreijkes, P., & Greatorex, J. (2024). Differential effects of subject-based and integrated curriculum approaches on students’ learning outcomes: A review of reviews. Review of Education, 12(1), e3465. https://doi.org/10.1002/rev3.3465

Labraña, J., & Rodríguez Ponce, E. (2026). Artificial intelligence and organizational learning in universities: Decision premises, paradoxes, and institutional stability. Journal of Organizational Change Management, 39(2), 259–274. https://doi.org/10.1108/JOCM-02-2025-0157

Mahrishi, M., Ramakrishna, S., Hosseini, S., & Abbas, A. (2025). A systematic literature review of the global trends of outcome-based education (OBE) in higher education with an SDG perspective related to engineering education. Discover Sustainability, 6(1), Article 620. https://doi.org/10.1007/s43621-025-01496-z

Malizal, Z. Z. (2025). Islamic education and globalization: Curriculum, identity, and digital integration. Sinergi International Journal of Islamic Studies, 3(2), 70–82. https://doi.org/10.61194/ijis.v3i2.711

Muqoyyidin, A. W., Naim, N., & Fitri, A. Z. (2026). Inclusive multicultural Islamic education and educational reform in Nurcholish Madjid’s thought: A bibliometric and systematic review. Discover Global Society, 4(1), Article 150. https://doi.org/10.1007/s44282-026-00507-2

Nyamboga, T. O. (2026). Double intelligence: Repositioning human intelligence in the age of generative AI for teaching, learning, and assessment across diverse higher education contexts: A narrative review. F1000Research. https://doi.org/10.12688/f1000research.179104.1

Okada, A., Sherborne, T., Panselinas, G., & Kolionis, G. (2025). Fostering transversal skills through open schooling supported by the CARE-KNOW-DO pedagogical model and the UNESCO AI competencies framework. International Journal of Artificial Intelligence in Education, 35(4), 1953–1998. https://doi.org/10.1007/s40593-025-00458-w

Pang, W., & Wei, Z. (2025). Shaping the future of higher education: A technology usage study on generative AI innovations. Information, 16(2), Article 95. https://doi.org/10.3390/info16020095

Pietarinen, A.-V., & Shi, S. (2026). Manipulation and deception in generative AI-mediated education: Preserving epistemic agency, critical thinking, and creativity. Postdigital Science and Education. https://doi.org/10.1007/s42438-026-00644-6

Poquet, O., & de Laat, M. (2021). Developing capabilities: Lifelong learning in the age of AI. British Journal of Educational Technology, 52(4), 1695–1708. https://doi.org/10.1111/bjet.13123

Romlah, L. S., Pahrudin, A., Fauzan, A., Kesuma, G. C., & Purnama, R. (2025). Institutionalizing OBE through transformative curriculum management: Insights from an Indonesian Islamic university. Munaddhomah: Jurnal Manajemen Pendidikan Islam, 6(4), 575–585. https://doi.org/10.31538/munaddhomah.v6i4.2319

Ruano-Borbalan, J.-C. (2025). The transformative impact of artificial intelligence on higher education: A critical reflection on current trends and future directions. International Journal of Chinese Education, 14(1), 2212585X251319364. https://doi.org/10.1177/2212585X251319364

Rudolph, J., bin, M. I. M. F., & Popenici, S. (2024). Higher education’s generative artificial intelligence paradox: The meaning of chatbot mania. Journal of University Teaching and Learning Practice, 21(6), 14–48. https://doi.org/10.3316/informit.T2024092900003290667921308

Siregar, Z. A. B., Kadir, A. K., Muhibbudin, M. M., & Jannah, R. J. (2026). Analysis of learning assessment suitability with learning outcomes in the implementation of outcome-based education (OBE) curriculum. Jurnal Eduscience, 13(1), 51–63. https://doi.org/10.36987/jes.v13i1.8146

Sumiati, E., Sutrisno, Sibawaihi, & Tekke, M. (2024). Transformation of Islamic higher education: Policy strategy, challenges, and opportunities. Al-Hayat: Journal of Islamic Education, 8(4), 1399–1417. https://doi.org/10.35723/ajie.v8i4.46

Temimi, A., Rebai, R., Aldamen, H., Souki, K., & Amiri, K. (2025). Education at a crossroads: Will AI fix learning or break it? Management & Sustainability: An Arab Review, 1–25. https://doi.org/10.1108/MSAR-04-2025-0118

Tsamados, A., Aggarwal, N., Cowls, J., Morley, J., Roberts, H., Taddeo, M., & Floridi, L. (2022). The ethics of algorithms: Key problems and solutions. AI & Society, 37(1), 215–230. https://doi.org/10.1007/s00146-021-01154-8

Vasconcelos, A. F. (2021). Wisdom capital: Definitions, meaning and a two-level model. International Journal of Organizational Analysis, 30(2), 365–388. https://doi.org/10.1108/IJOA-09-2020-2409

Vashishth, T. K., Sharma, V., Sharma, K. K., Kumar, B., Panwar, R., & Chaudhary, S. (2024). AI-driven learning analytics for personalized feedback and assessment in higher education. In Using traditional design methods to enhance AI-driven decision making (pp. 206–230). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-0639-0.ch009

Venkatesh, R., Preethi, D. M. D., & Ramu, A. (2026). The future of outcome-based education (OBE): Leveraging machine learning (ML) for adaptive curriculum design and real-time learning monitoring. In D. Vetrithangam, P. Kumar, J. S. Batth, B. Arunadevi, & V. Saravanan (Eds.), Transforming outcome-based education with machine learning (pp. 29–60). Springer Nature. https://doi.org/10.1007/978-981-95-4925-2_2

Wahid, S. H. (2025). Is AI endangering religion? Maqāṣid al-Sharīʿa as ethics framework for harm assessment and mitigation. Journal of Islamic and Muslim Studies, 10(2), 49–85.

Wahi, R., Chuah, K.-M., & Junaini, S. N. (2026). Leveraging AI for nurturing learners with empathy, ethics, and social responsibility. In Digital transformation and sustainability in higher education (pp. 205–236). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-5077-6.ch008

Xie, L., Wang, L.-M., Li, Z., & Bao, L. (2025). Representations of nature of science in Chinese physics curriculum standards over the past two decades. Science & Education, 34(6), 4331–4352. https://doi.org/10.1007/s11191-024-00611-2

Yuensook, T., Jantakoon, T., & Limpinan, P. (2026). AI-driven adaptive learning systems in higher education: A systematic review. Journal of Education and Learning, 15(2), 117–132.

Zul, Z., Najihul Huda, M., Fuad, Z., & Abdullah, M. (2026). Integration of Islamic ethics in modern education curriculum: Challenges and opportunities—A systematic literature review. British Journal of Religious Education, 1–24. https://doi.org/10.1080/01416200.2026.2621177