Integration of Artificial Intelligence in PAI Material Development: Analysis of Learning Effectiveness and Interaction

Muhammad Muhammad; Wahab Wahab

doi:10.62730/syaikhuna.v16i01.7624

Authors

Muhammad Muhammad Institut Agama Islam Negeri Pontianak
Wahab Wahab Institut Agama Islam Negeri Pontianak

DOI:

https://doi.org/10.62730/syaikhuna.v16i01.7624

Keywords:

Integration of Artificial Intelligence, Development of Pie Materials, Learning Effectiveness, Educational Technology

Abstract

The research aims to examine the literature on applying artificial intelligence (AI) in Islamic Religious Education (PAI) materials to evaluate its effectiveness in enhancing interaction and learning quality. This literature review explores how AI can facilitate interactive and adaptive learning experiences tailored to students' needs while strengthening the overall effectiveness of PAI instruction. This study employs a qualitative approach through a literature review, analyzing 30 sources from the past decade (2014–2024) related to educational technology, AI implementation, and PAI teaching materials. Previous research indicates that AI in PAI materials can personalize learning, provide real-time feedback, and improve student engagement with the content. However, AI may also reduce interpersonal interaction in religious discussions. Therefore, integrating AI with discussion-based learning is recommended for optimal outcomes. The development of AI-based PAI materials has the potential to enhance learning effectiveness and foster more dynamic interactions in the digital era. Academically, the research emphasizes the significance of hybrid learning that combines AI with active learning methods and underscores the need to balance technology with teacher-student interaction in education.

References

Abdelwahab, S., Hamdaoui, B., Guizani, M., & Rayes, A. (2004). Ontologie komplexer IoX-Systeme: Zur Metaphysik der Informatik im Internet of Everything. Ontologie Komplexer IoX-Systeme, 30(2), 2022.

Aeni, N., Khang, A., Al Yakin, A., Yunus, M., & Cardoso, L. (2024). Revolutionized Teaching by Incorporating Artificial Intelligence Chatbots for Higher Education Ecosystem. In AI-Centric Modeling and Analytics (pp. 43–76). CRC Press.

Alqahtani, A. Y., & Rajkhan, A. A. (2020). E-learning critical success factors during the COVID-19 pandemic: A comprehensive analysis of e-learning managerial perspectives. Education Sciences, 10(9), 216.

Astuti, S. S. W., Sarjono, S., & Hariyadi, A. (2021). Application of the Investigation Group Learning Model to Improve Social Science Activities and Learning Outcomes of Grade VII Students of SMPN 1 Senori Academic Year 2019/2020. Script: Journal of Non-Formal Education, 7(1), 37–42.

Baker, R. S. (2019). Challenges for the future of educational data mining: The Baker learning analytics prizes. Journal of Educational Data Mining, 11(1), 1–17.

Brusilovsky, P., & Millán, E. (2007). User models for adaptive hypermedia and adaptive educational systems. In The adaptive web: methods and strategies of web personalization (pp. 3–53). Springer.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.

Chernikova, O., Heitzmann, N., Stadler, M., Holzberger, D., Seidel, T., & Fischer, F. (2020). Simulation-based learning in higher education: A meta-analysis. Review of Educational Research, 90(4), 499–541.

Dai, C.-P. (2023). Enhancing learning achievements and self-efficacy for preservice teachers using model-based support in simulation-based learning with artificial intelligence-powered virtual agents. The Florida State University.

Das, B., Majumder, M., Phadikar, S., & Sekh, A. A. (2021). Automatic question generation and answer assessment: a survey. Research and Practice in Technology Enhanced Learning, 16(1), 5.

Doering, A., Veletsianos, G., & Yerasimou, T. (2008). Conversational agents and their longitudinal affordances on communication and interaction. Journal of Interactive Learning Research, 19(2), 251–270.

Gupta, C. (2022). The impact and measurement of today's learning technologies in teaching software engineering courses using design and project-based learning. IEEE Transactions on Education, 65(4), 703–712.

Hafiz, A., & Mu'ti, A. (2024). Development of Islamic Religious Learning Media Based on Artificial Intelligence: A Perspective on Islamic Religious Education. Mauriduna: Journal of Islamic Studies, 5(1), 56–63.

Khalid, W., Arshad, M. S., Ranjha, M. M. A. N., Ró?a?ska, M. B., Irfan, S., Shafique, B., Rahim, M. A., Khalid, M. Z., Abdi, G., & Kowalczewski, P. ?. (2022). Functional constituents of plant-based foods boost immunity against acute and chronic disorders. Open Life Sciences, 17(1), 1075–1093.

Kulbi, S. Z. (2019). Android-based mobile learning as a learning medium for Islamic religious education. Nazhruna: Journal of Islamic Education, 2(3), 385–406.

Laufer, M., Leiser, A., Deacon, B., Perrin de Brichambaut, P., Fecher, B., Kobsda, C., & Hesse, F. (2021). Digital higher education: a divider or bridge builder? Leadership perspectives on edtech in a COVID-19 reality. International Journal of Educational Technology in Higher Education, 18, 1–17.

Luckin, R., & Holmes, W. (2016). Intelligence Unleashed: An argument for AI in education.

Lutfi, A. M. (2024). Analysis of the Impact of Artificial Intelligence Technology on the Quality of Mathematics Learning. IAIN Parepare.

Mayer, R. E. (2020). Multimedia learning. Cambridge University.

Muhdi, A., Sulaiman Kurdi, M., Mardiah, M., Kamaruddin, I., & Purnama, Y. (2024). Digital Literacy in Islamic Education: Assessing the Efficacy of Online Learning Platforms in Fostering Religious and Academic Development. International Journal of Teaching and Learning (INJOTEL), 2(1), 14–30.

Muhid, A. (2021). Heutagogy: liberating students to learn in the era of the digital revolution. Media Intelligence.

Nata, A. (2018). Islamic education in the millennial era. Conciencia, 18(1), 10–28.

Pambudi, M. S., & Makhrus, M. (2022). Development of Islamic Religious Education Learning Media Based on Information and Communications Technology. Proceedings Series on Social Sciences & Humanities, 4, 50–61.

Ranjha, R., Sharma, U., Singh, D., & Kumar, S. (2024). Hydroponic Solutions for Soilless Production Systems: Issues and Opportunities in a Smart Agriculture Perspective. In Hydroponics: The Future of Sustainable Farming (pp. 177–196). Springer.

Rizma Ilfi, S. M. (2022). The Impact of Artificial Intelligence on Education. ISTIGHNA, Vol. 7, No 1, January P-ISSN 1979-2824 E-ISSN 2655-8459 Homepage: Http://E-Journal.Stit-Islamic-Village.Ac.Id/Index.Php/Istighna, 7(2), 40–50. https://doi.org/10.34306/abdi.v3i2.792

Romero, C., & Ventura, S. (2010). Educational data mining: a review of the State of the art. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 40(6), 601–618.

Saaida, M. B. E. (2023). AI-Driven transformations in higher education: Opportunities and challenges. International Journal of Educational Research and Studies, 5(1), 29–36.

Sarinda, F., Martina, M., Noviani, D., & Hilmin, H. (2023). Islamic Religious Education Based on Artificial Intelligence Technology (AI). Journal of Educational and Cultural Research Studies, 1(4), 103–111.

Seers, K. (2012). Qualitative data analysis. Evidence-Based Nursing, 15(1),/1

Shaun, R., De Baker, J., & Inventado, P. S. (2014). Chapter 4: Educational Data Mining and Learning Analytics. Springer.

Sholeh, M., Rusydiyah, E. F., & Abu Bakar, M. Y. (2024). Integration of AI Chatbots in Islamic Religious Education: Potential and Challenges from a Doctoral Student Perspective. AL-ISHLAH: Journal of Education, 16(2), 2105–2121. https://doi.org/10.35445/alishlah.v16i2.5409

Suariqi Diantama. (2023). The Utilization of Artificial Intelligence (AI) in the World of Education. DEWANTECH Journal of Educational Technology, 1(1), 8–14. https://doi.org/10.61434/dewantech.v1i1.8

Taja, N., Nurdin, E. S., Kosasih, A., Suresman, E., & Supriyadi, T. (2021). Character education in the pandemic era: A religious, ethical learning model through Islamic education. International Journal of Learning, Teaching and Educational Research, 20(11), 132–153.

van Esch, P., von der Heidt, T., Frethey-Bentham, C., & Northey, G. (2020). The effect of marketing simulations on student engagement and academic outcomes. Marketing Education Review, 30(1), 43–56.

Woolf, B. P. (2010). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27.