Future-Proofing Arabic Studies: A Strategic Artificial Intelligence Competency Framework for Islamic Higher Education
Abstract
The integration of Artificial Intelligence (AI) into higher education is accelerating, yet generic competency frameworks fail to address the unique needs of students in specialized fields, particularly Arabic language learners in Islamic universities. This study addresses this critical gap by proposing a tailored AI Competency Framework designed to equip these students with the skills to navigate an AI-augmented world while upholding their theological and ethical commitments. Employing a digital library research methodology, this paper conducts a systematic literature review and thematic synthesis of scholarship from AI in education and Arabic pedagogy. The resulting framework comprises five interconnected dimensions: (1) Human-Centered Thinking, which grounds technology use in spiritual and intellectual values; (2) AI Ethics, providing a moral guardrail aligned with Islamic principles; (3) AI Techniques and Applications, building practical, tool-specific skills; (4) Domain-Specific AI System Design, fostering an innovative, problem-solving mindset; and (5) AI in Basic Arabic Language Learning, which applies these competencies to core language skills. This framework offers a practical model for universities to integrate AI ethically and effectively, ensuring graduates are not only proficient in Arabic but are also prepared to be responsible stewards of technology in the service of their faith and scholarship.
References
Abdellatif, M. S., Alshehri, M. A., Alshehri, H. A., Hafez, W. E., Gafar, M. G., & Lamouchi, A. (2024). I Am All Ears: Listening Exams with AI and Its Traces on Foreign Language Learners’ Mindsets, Self-Competence, Resilience, and Listening Improvement. Language Testing in Asia, 14(1), 54. https://doi.org/10.1186/s40468-024-00329-6
Adegbesan, A., Akingbola, A., Ojo, O., Jessica, O. U., Alao, U. H., Shagaya, U., Adewole, O., & Abdullahi, O. (2024). Ethical Challenges in the Integration of Artificial Intelligence in Palliative Care. Journal of Medicine, Surgery, and Public Health, 4, 100158. https://doi.org/10.1016/j.glmedi.2024.100158
Ahmad, Z., Sultana, A., Latheef, N. A., Siby, N., Sellami, A., & Abbasi, S. A. (2025). Measuring Students’ AI Competence: Development and Validation of a Multidimensional Scale Integrating Educational Psychology Perspectives. Acta Psychologica, 259, 105446. https://doi.org/10.1016/j.actpsy.2025.105446
Alam, A., & Mohanty, A. (2023). Educational Technology: Exploring the Convergence of Technology and Pedagogy through Mobility, Interactivity, AI, and Learning Tools. Cogent Engineering, 10(2), 2283282. https://doi.org/10.1080/23311916.2023.2283282
Aljanadbah, A., Al Marri, R. H., & Almarri, H. M. (2025). The Future of Foreign Language Learning in the Age of Artificial Intelligence: A Critical Analysis of Trends, Challenges, and Opportunities. Dibon Journal of Languages, 1(2), 200–217. https://doi.org/10.64169/djl.84
Alqahtani, T., Badreldin, H. A., Alrashed, M., Alshaya, A. I., Alghamdi, S. S., Bin Saleh, K., Alowais, S. A., Al Jeraisy, M., Almutairi, M., Al-Jedai, A., & Amer, Y. S. (2023). The Emergent Role of Artificial Intelligence, Natural Learning Processing, and Large Language Models in Higher Education and Research. Research in Social and Administrative Pharmacy, 19(8), 1236–1242. https://doi.org/10.1016/j.sapharm.2023.05.016
Aryadoust, V. (2023). The Vexing Problem of Validity and the Future of Second Language Assessment. Language Testing, 40(1), 8–14. https://doi.org/10.1177/02655322221125204
Basili, R., Pazienza, M. T., & Velardi, P. (1996). An Empirical Symbolic Approach to Natural Language Processing. Artificial Intelligence, 85(1–2), 59–99. https://doi.org/10.1016/0004-3702(95)00116-6
Chiu, T. K. F., Ahmad, Z., Ismailov, M., & Sanusi, I. T. (2024). What Are Artificial Intelligence Literacy and Competency? A Comprehensive Framework to Support Them. Computers and Education Open, 6, 100171. https://doi.org/10.1016/j.caeo.2024.100171
Cox, A. (2023). How Artificial Intelligence Might Change Academic Library Work: Applying the Competencies Literature and the Theory of the Professions. Journal of the Association for Information Science and Technology, 74(3), 367–380. https://doi.org/10.1002/asi.24635
Cukurova, M. (2025). The Interplay of Learning, Analytics and Artificial Intelligence in Education: A Vision for Hybrid Intelligence. British Journal of Educational Technology, 56(2), 469–488. https://doi.org/10.1111/bjet.13514
Dajani, B. A. S. (2015). Teaching Arabic Language: Towards a New Beginning That Stimulates Creativity. Procedia - Social and Behavioral Sciences, 192, 758–763. https://doi.org/10.1016/j.sbspro.2015.06.086
Delgoshaei, P., Heidarinejad, M., & Austin, M. A. (2022). A Semantic Approach for Building System Operations: Knowledge Representation and Reasoning. Sustainability, 14(10), 5810. https://doi.org/10.3390/su14105810
Ghafouri, B. (2025). A Theory of Information, Variation, and Artificial Intelligence. In arXiv. https://doi.org/10.48550/ARXIV.2508.19264
Glaesser, J. (2019). Competence in Educational Theory and Practice: A Critical Discussion. Oxford Review of Education, 45(1), 70–85. https://doi.org/10.1080/03054985.2018.1493987
Hu, W., & Chan, C. K. Y. (2025). From User Needs to AI Solutions: A Human-Centered Design Approach for AI-Powered Virtual Teamwork Competency Training. International Journal of Educational Technology in Higher Education, 22(1), 52. https://doi.org/10.1186/s41239-025-00551-z
Jabli, N. (2024). Innovative Learning Strategies for Digital Transformation in Higher Education. In Digital Transformation in Higher Education, Part A (pp. 115–153). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83549-480-620241007
Karakuş, N., Gedik, K., & Kazazoğlu, S. (2025). Ethical Decision-Making in Education: A Comparative Study of Teachers and Artificial Intelligence in Ethical Dilemmas. Behavioral Sciences, 15(4), 469. https://doi.org/10.3390/bs15040469
Khilji, S. E. (2022). An Approach for Humanizing Leadership Education: Building Learning Community & Stakeholder Engagement. Journal of Management Education, 46(3), 439–471. https://doi.org/10.1177/10525629211041355
Martsenyuk, V., Dimitrov, G., Rancic, D., Luptakova, I. D., Jovancevic, I., Bernas, M., Klos-Witkowska, A., Mileva, N., Stoyanova-Doycheva, A., Gachev, G., & Petrov, P. (2024). Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements. Applied Sciences, 14(10), 4107. https://doi.org/10.3390/app14104107
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
Mustapha, R. (2025). Maqasid Al-Shariah in The AI Era: Balancing Innovation and Islamic Ethical Principles. Zenodo. https://doi.org/10.5281/ZENODO.15381828
Nikolinakos, N. T. (2023). Ethical Principles for Trustworthy AI. In EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies - The AI Act (Vol. 53, pp. 101–166). Springer International Publishing. https://doi.org/10.1007/978-3-031-27953-9_3
Ordóñez Procel, G. J., Freire Medina, M. L., Sotomayor Sánchez, D. J., & Poma Tacuri, M. A. (2024). Using Technology in English Teaching (1st ed.). CID - Centro de Investigación y Desarrollo. https://doi.org/10.37811/cli_w1048
Sahrir, M. S., Albantani, A. M., Arifin, F., & Fathudin, F. (2025). The Use of Generative Artificial Intelligence (AI) in Arabic Language Education: Insights and Implications between Malaysia and Indonesia. International Journal of Research and Innovation in Social Science, IX(III), 3638–3646. https://doi.org/10.47772/IJRISS.2025.90300288
Sauer, C. R., & Burggräf, P. (2025). Hybrid Intelligence – Systematic Approach and Framework to Determine the Level of Human-AI Collaboration for Production Management Use Cases. Production Engineering, 19(3–4), 525–541. https://doi.org/10.1007/s11740-024-01326-7
Tang, K.-S., Cooper, G., & Nielsen, W. (2024). Philosophical, Legal, Ethical, and Practical Considerations in the Emerging Use of Generative AI in Academic Journals: Guidelines for Research in Science Education (RISE). Research in Science Education, 54(5), 797–807. https://doi.org/10.1007/s11165-024-10192-3
Wang, X., & Zhong, W. (2022). Research and Implementation of English Grammar Check and Error Correction Based on Deep Learning. Scientific Programming, 2022, 1–10. https://doi.org/10.1155/2022/4082082
Zeivots, S., Casey, A., Winchester, T., Webster, J., Wang, X., Tan, L., Smeenk, W., Thiele, C., Shrimpton, B., Parker, S., Noble, K., Lodge, J. M., Littlejohn, A., Knight, S., Ifenthaler, D., Graham, C. R., Goodyear, P., Ellis, R. A., de Barba, P., & Kennedy, G. (2025). Reshaping Higher Education Designs and Futures: Postdigital Co-Design with Generative Artificial Intelligence. Postdigital Science and Education, 7(4), 1334–1374. https://doi.org/10.1007/s42438-025-00595-4
















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