Implementation of an Artificial Intelligence-Based Adaptive Learning System in Improving the Competence of Islamic Religious Education Teachers in Labuhanbatu

Abdul Fattah Nasution, Ali Imran Sinaga, Siti Mauliddina

Abstract


This research is motivated by the increasing role of artificial intelligence (AI) in transforming the world of education, which brings challenges as well as opportunities for educators to improve the quality of learning. This research aims to: (1) determine the improvement of the competence of Islamic Religious Education Teachers (PAI) in Labuhanbatu through the application of an AI-based adaptive learning system, (2) evaluate the effectiveness of the system in improving the competence of PAI teachers, and (3) identify obstacles, challenges and solutions in its implementation. This research method was carried out using  a mixed-method  technique using a Sequential Exploratory design, which combines qualitative data collection through interviews, observations, documentation, and Focus Group Discussions (FGD), with quantitative data through pre-test and post-test, satisfaction surveys, and statistical analysis. The study involved 50 PAI teachers at the junior high school level in Labuhanbatu with a saturated sample technique. The results showed that AI-based adaptive learning had a significant positive influence on teachers' pedagogic competence, with a correlation coefficient of 0.794 and an effectiveness level of 69% (R² = 0.69, p < 0.05). The integration of AI technology through structured workshops has been proven to strengthen the capacity of PAI teachers in designing innovative and responsive learning strategies. However, its implementation still faces obstacles in the form of limited technological infrastructure, unstable internet access, and low digital literacy, which can be overcome through infrastructure strengthening, tiered training, and the formation of technology-based teacher learning communities. The conclusion of this study is that AI-based adaptive learning has a positive impact on the pedagogic competence of PAI teachers in Labuhanbatu, in addition to that this learning is effective in PAI learning in Labuhanbatu, but the obstacle in this learning is the limitation of technological infrastructure in the region.


Full Text:

PDF

References


Ahiaku, P. K. A., Uleanya, C., & Muyambi, G. C. (2025). Rural schools and tech use for sustainability : the challenge of disconnection. Education and Information Technologies, 30(9), 12557–12571. https://doi.org/10.1007/s10639-024-13311-9

Akintola, A. S., Akintayo, M., Kadri, T., Oforgu, C. M., Michael, M., & Nwanna, M. (2024). Adaptive Ai Systems In Education : Real Time Personalised Learning Pathways For Skill. 6–12.

Arif, M., Kasturi, M., Abd, N., & Anas, M. (2025). A recent study on islamic religious education teachers ’ competencies in the digital age : a systematic literature review. 19(2), 587–596. https://doi.org/10.11591/edulearn.v19i2.21311

Arnolus Juantri E. Oktavianus, Lamhot Naibaho, & Djoys Anneke Rantung. (2023). Pemanfaatan Artificial Intelligence pada Pembelajaran dan Asesmen di Era Digitalisasi. Jurnal Kridatama Sains Dan Teknologi, 05(2), 473–476.

Azman, N. A., & Hamzah, M. I. (2025). Digital Teaching Strategies of Islamic Education Teachers : A Case Study in Primary Schools. International Journal of Learning, Teaching and Educational Research, 24(3), 562–585.

Chiu, T. K. F. (2023). The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2253861

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education : the state of the field. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-023-00392-8

Demartini, C. G., Sciascia, L., Bosso, A., & Manuri, F. (2024). Artificial Intelligence Bringing Improvements to Adaptive Learning in Education: A Case Study. Sustainability (Switzerland), 16(3). https://doi.org/10.3390/su16031347

Essel, H. B., Vlachopoulos, D., Tachie-Menson, A., Johnson, E. E., & Baah, P. K. (2022). The impact of a virtual teaching assistant (chatbot) on students’ learning in Ghanaian higher education. International Journal of Educational Technology in Higher Education, 19(1). https://doi.org/10.1186/s41239-022-00362-6

Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Education Sciences, 13(12). https://doi.org/10.3390/educsci13121216

Hadju, V. A., Gorontalo, U. N., Aulia, U., & Gorontalo, U. N. (2022). Desain Penelitian Mixed Method Desain Penelitian Mixed Method (Issue November).

Hawi, A. (2013). Kompetensi Guru Pendidikan Agama Islam. In PT Rajagrafindo Persada (Vol. 3, Issue 1). http://dx.doi.org/10.1016/j.bpj.2015.06.056%0Ahttps://academic.oup.com/bioinformatics/article-abstract/34/13/2201/4852827%0Ainternal-pdf://semisupervised-3254828305/semisupervised.ppt%0Ahttp://dx.doi.org/10.1016/j.str.2013.02.005%0Ahttp://dx.doi.org/10.10

Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability (Switzerland), 15(16), 1–27. https://doi.org/10.3390/su151612451

Kayaalp, F. (2024). Enhancing Competence for a Sustainable Future : Integrating Artificial Intelligence – Supported Educational Technologies in Pre- ­ Service Teacher Training for Sustainable Development. https://doi.org/10.1111/ejed.12865

Kim, J., & Wargo, E. (2025). Empowering educational leaders for AI integration in rural STEM education : Challenges and strategies. Frontiers in Education, April, 1–13. https://doi.org/10.3389/feduc.2025.1567698

Kudriani, N., Murdana, F., & Muriati, L. (2023). Transformasi Digital dalam Pendidikan : Tantangan dan Peluang Penerapan Kecerdasan Buatan dalam Proses Pembelajaran Pendahuluan. 3(3), 129–139.

Liu, J., Aziku, M., Qiang, F., & Zhang, B. (2024). Leveraging professional learning communities in linking digital professional development and instructional integration : evidence from 16 , 072 STEM teachers. International Journal of STEM Education. https://doi.org/10.1186/s40594-024-00513-3

Lowell, D., Santy, M. A., & Kesuma, D. P. (2025). Pemanfaatan AI dalam Pembelajaran Adaptif untuk Meningkatkan Hasil Belajar : Systematic Literature Review. 8(3), 1334–1337.

Metwally, A. A., & Bin-hady, W. R. A. (2025). Probing the necessity and advantages of AI integration training for EFL educators in Saudi Arabia Probing the necessity and advantages of AI integration training for. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2472462

Mustafa, F., Thi, H., Nguyen, M., & Andy, X. (2024). The challenges and solutions of technology integration in rural schools : A systematic literature review. International Journal of Educational Research, 126(February), 102380. https://doi.org/10.1016/j.ijer.2024.102380

Shezad, F., Goswami, R., Shaheen, A., & Khan, I. (2025). AI in Teacher Training and Professional Development : A Tool for Continuous Learning and Skill Enhancement. REAL : Review of Education Administration and Law, 8(1), 179–191. https://doi.org/10.47067/real.v8i1.416

Sopamena, P., & Kaliky, S. (2020). Peta Kompetensi Guru dan Mutu Pendidikan Maluku (Issue December). LP2M IAIN Ambon.

Strielkowski, W., Grebennikova, V., Lisovskiy, A., & Vasileva, T. (2025). AI-driven adaptive learning for sustainable educational transformation. Wiley Sustanable Development, September 2024, 1921–1947. https://doi.org/10.1002/sd.3221

Sugiyono. (2013). Metode penelitian Kuantitatif, Kualitatif dan R&D. Alfabeta.

Sun, J., Ma, H., Zeng, Y., Han, D., & Jin, Y. (2023). Promoting the AI teaching competency of K ? 12 computer science teachers : A TPACK ? based professional development approach. Education and Information Technologies, 1509–1533. https://doi.org/10.1007/s10639-022-11256-5

Tammets, K., & Ley, T. (2023). Integrating AI tools in teacher professional learning : a conceptual model and illustrative case. Frontiers, 2022.

Tsz, D., Ng, K., Ka, J., Leung, L., Chu, S. K. W., & Shen, M. Q. (2021). ur na l P re f. Computers and Education: Artificial Intelligence, 100041. https://doi.org/10.1016/j.caeai.2021.100041

Vasileva, W. S. V. G. A. L. G. R. T. (2024). AI?driven adaptive learning for sustainable educational transformation. Sustainable Development Wileyy.

Wijnen, F., Walma, J., & Joke, V. D. M. (2023). Primary teachers ’ attitudes towards using new technology and stimulating higher ? order thinking in students : A profile analysis. Education and Information Technologies, 28(6), 6347–6372. https://doi.org/10.1007/s10639-022-11413-w

Wu, D., Wang, J., & Che, Z. (2024). Digital Education: Connotation, Pathway, and Trend. 1(1), 59–68.




DOI: https://doi.org/10.56114/integrasi.v4i3.13914

Refbacks

  • There are currently no refbacks.


View Integrasi Stats