Technology-Enhanced Learning Models In Islamic Religious Education: A Literature Review Of Computer-Based, Web-Based, Social, And Adaptive Learning

Authors

  • Nanang Abdillah Institut Al Azhar Menganti Gresik, Indonesia

DOI:

https://doi.org/10.37812/fatawa.v6i1.2411

Keywords:

Learning Technology, Computer-Based Instruction, Web-Based Instruction, Social Learning, Adaptive Learning, Islamic Religious Education.

Abstract

The rapid development of digital technology has significantly transformed the educational landscape, including the teaching and learning process in Islamic Religious Education (IRE). Learning technology has emerged as an innovative solution for improving the effectiveness, efficiency, and quality of education through the implementation of various technology-enhanced learning models. This study aims to analyze and describe several learning technology models, namely Computer-Based Instruction (CBI), Web-Based Instruction (WBI), Social Technology Learning, and Adaptive Learning, as well as examine their implications for Islamic Religious Education. The study employed a qualitative approach using a literature review method based on scholarly journal articles, books, research reports, and other relevant academic publications. Data were analyzed through content analysis to identify the characteristics, strengths, limitations, and potential applications of each learning model. The findings indicate that Computer-Based Instruction enhances independent learning through interactive content and immediate feedback, Web-Based Instruction expands access to learning resources and online collaboration, Social Technology Learning promotes interaction and collaborative learning through social networking platforms, and Adaptive Learning enables personalized learning experiences based on individual learner needs and abilities. In the context of Islamic Religious Education, these four models have significant potential to improve learning quality while maintaining the Islamic values that serve as the foundation of the educational process. Therefore, the integration of learning technologies into Islamic Religious Education should be implemented strategically and learner-centeredly to address the challenges of education in the digital era.

References

Baig, M. I., & Yadegaridehkordi, E. (2023). Flipped classroom in higher education: A systematic literature review and research challenges. International Journal of Educational Technology in Higher Education, 20(61).

Bozkurt, A., Koutropoulos, A., Singh, L., & Honeychurch, S. (2023). On the future of distance education: Emerging trends and transformative technologies. Open Praxis, 15(2), 87–104.

Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2024). Mapping research in student engagement and educational technology in higher education: A systematic evidence map. Educational Technology Research and Development, 72(1), 1–28. https://doi.org/10.1007/s11423-023-10262-0

Branch, R. M., & Dousay, T. A. (2023). Survey of instructional design models (6th ed.). Association for Educational Communications and Technology.

Braun, V., & Clarke, V. (2022). Thematic analysis: A practical guide. Sage Publications.

Chen, Z., & Singh, C. (2025). Opportunities and challenges in harnessing digital technology for effective teaching and learning. arXiv.

Greenhow, C., & Chapman, A. (2023). Social media and education: Reconceptualizing learning in the digital age. Educational Researcher, 52(4), 211–220.

Greenhow, C., & Galvin, S. (2024). Teaching with social media in contemporary higher education: Opportunities and challenges. Computers & Education, 203, 104843. https://doi.org/10.1016/j.compedu.2023.104843

Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning (Updated ed.). Center for Curriculum Redesign.

Hrastinski, S. (2021). What do we mean by blended learning? TechTrends, 65(5), 564–569. https://doi.org/10.1007/s11528-020-00575-5

Ifenthaler, D., & Yau, J. Y.-K. (2024). Utilising learning analytics for adaptive learning and personalized education: Recent developments and future directions. Computers and Education: Artificial Intelligence, 6, 100215. https://doi.org/10.1016/j.caeai.2024.100215

Kerr, P., Merceron, A., Yacef, K., & Dawson, S. (2023). Adaptive learning systems and learning analytics in higher education: Emerging trends and applications. Education and Information Technologies, 28(9), 11245–11268.

Khalil, M., & Ebner, M. (2022). Learning analytics in web-based learning environments: Current developments and future directions. Education Sciences, 12(4), 245. https://doi.org/10.3390/educsci12040245

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2022). Intelligence unleashed: An argument for AI in education. Pearson Education.

Martin, F., & Bolliger, D. U. (2022). Engaging learners through educational technology: A review of contemporary online learning research. International Journal of Educational Technology in Higher Education, 19(1), 1–24.

Martin, F., Bolliger, D. U., & Flowers, C. (2022). Student engagement and technology-enhanced learning: A systematic review of recent literature. International Journal of Educational Technology in Higher Education, 19(1), 1–24.

OECD. (2023). Future of education and skills 2030: Transformative competencies for the future. Organisation for Economic Co-operation and Development.

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2022). A systematic review of immersive virtual reality applications for higher education. Education and Information Technologies, 27(1), 1–38. https://doi.org/10.1007/s10639-021-10775-1

Snyder, H. (2021). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Tang, Y. M., Chen, P. C., Law, K. M. Y., Wu, C. H., Lau, Y. Y., Guan, J., He, D., & Ho, G. T. S. (2023). Comparative analysis of social media applications and student engagement in higher education. Education and Information Technologies, 28(5), 5607–5631. https://doi.org/10.1007/s10639-022-11355-5

UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization.

Yenduri, G., Kaluri, R., Rajput, D. S., Lakshmanna, K., Gadekallu, T. R., Mahmud, M., & Brown, D. J. (2023). From assistive technologies to metaverse: Technologies in inclusive higher education for students with specific learning difficulties. Education and Information Technologies, 28(7), 1–28.

Zawacki-Richter, O., & Qayyum, A. (2023). Open and distance education in the digital age: Technology, pedagogy, and learning analytics. Springer.

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Published

2025-12-31

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Articles

How to Cite

Abdillah, N. (2025). Technology-Enhanced Learning Models In Islamic Religious Education: A Literature Review Of Computer-Based, Web-Based, Social, And Adaptive Learning. FATAWA: Jurnal Pendidikan Agama Islam, 6(1), 73-92. https://doi.org/10.37812/fatawa.v6i1.2411

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