Artificial Intelligence-Based Learning Management to Improve the Effectiveness of the Independent Curriculum

Yusman Haris; Jenny Fransiska; Didi Kosmanto; Repi Arianto; Lukman Asha; Sutarto; Fakhruddin; Destriani

doi:10.61987/jemr.v5i1.1614

Authors

Yusman Haris Institut Agama Islam Negeri Curup
Jenny Fransiska Institut Agama Islam Negeri Curup
Didi Kosmanto Institut Agama Islam Negeri Curup
Repi Arianto Institut Agama Islam Negeri Curup
Lukman Asha Institut Agama Islam Negeri Curup
Sutarto Institut Agama Islam Negeri Curup
Fakhruddin Institut Agama Islam Negeri Curup
Destriani Institut Agama Islam Negeri Curup

DOI:

https://doi.org/10.61987/jemr.v5i1.1614

Keywords:

AI-Based Learning Management, Curriculum Implementation, Educational Management

Abstract

This study aims to examine the contribution of Artificial Intelligence (AI)-based learning management to improving the effectiveness of the Independent Curriculum, which emphasizes flexibility, differentiated instruction, and continuous assessment in authentic educational contexts. Employing a qualitative case study design, data were collected from school leaders, teachers, and academic coordinators involved in curriculum implementation through semi-structured interviews, non-participant observations, and document analysis to explore AI-supported instructional planning, learning implementation, and assessment practices. The findings reveal that AI-based learning management enhances instructional effectiveness by facilitating differentiated learning, enabling real-time monitoring of student progress, supporting evidence-based decision-making, and reducing teachers’ administrative workload. These results demonstrate that AI functions not merely as a pedagogical tool but as an integrated learning management system that strengthens curriculum implementation. The study implies that the strategic integration of AI into learning management practices can support the sustainability and effectiveness of the Independent Curriculum, provided that institutional readiness, clear management strategies, and continuous professional capacity development are adequately addressed

References

Abrar, M., Aboraya, W., Abdulghafor, R., Subramanian, K. P., Husaini, Y. A., & Husaini, M. A. (2025). AI-Powered Learning Pathways: Personalized Learning and Dynamic Assessments. International Journal of Advanced Computer Science and Applications, 16(1). https://doi.org/10.14569/IJACSA.2025.0160145

Afifah, W. (2025). Flashcard Learning Strategy Builds Understanding and Engagement in Islamic Law: Strategi Pembelajaran Dengan Kartu Flash Meningkatkan Pemahaman Dan Keterlibatan Dalam Hukum Islam. Academia Open, 10(2), 10–21070. https://doi.org/10.21070/acopen.10.2025.12128

Alam, A., & Mohanty, A. (2023). Cultural Beliefs and Equity in Educational Institutions: Exploring the Social and Philosophical Notions of Ability Groupings in Teaching and Learning of Mathematics. International Journal of Adolescence and Youth, 28(1), 2270662. https://doi.org/10.1080/02673843.2023.2270662

Alotaibi, N. S. (2024). The Impact of AI and LMS Integration on the Future of Higher Education: Opportunities, Challenges, and Strategies for Transformation. Sustainability, 16(23). https://doi.org/10.3390/su162310357

Ani, D., Sari, D. P., & Sari, R. P. (2023). Behavioral Learning Theory Applied in PAI Learning at SDIT Juara. Al-Riwayah: Jurnal Kependidikan, 15(1), 41–48. https://doi.org/10.47945/al-riwayah.v15i1.786

Barokah, M. (2025). Management of Learning Outcomes Through SIJAGU PAI Design and Implementation of a Digital Reporting System for Islamic Religious Education. Journal of Educational Management Research, 4(2), 845–860.

Colchester, K., Hagras, H., Alghazzawi, D., & Aldabbagh, G. (2021). A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems Within E-Learning Platforms. Journal of Artificial Intelligence and Soft Computing Research, 7(1), 47–64. https://doi.org/10.1515/jaiscr-2017-0004

Destriani, D. (2022). Innovation in the Development of Islamic Religious Education Curriculum at SMK Negeri 1 Rejang Lebong. INCARE: International Journal of Educational Resources, 2(6), 614–630. https://doi.org/10.59689/incare.v2i6.355

Destriani, D. (2022). Islamic Religious Education Learning Based on Religious Moderation Toward Society 5.0. INCARE: International Journal of Educational Resources, 2(6), 647–664. https://doi.org/10.59689/incare.v2i6.356

Dewi, A. T. A., Najiburohman, & Hefniy. (2025). Virtual School Tours: Boosting Community Interest and Attracting Prospective Students. Evaluasi: Jurnal Manajemen Pendidikan Islam, 9(2), 340–353. https://doi.org/10.32478/3gtzvf72

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

Ikhsan, I., Hadikusumo, R. A., & Halimatusadiyah, E. (2025). AI and LMS: The Transformation of Adaptive and Predictive-Based Digital Learning Management. International Journal of Innovation and Thinking, 2(4), 230–240. https://doi.org/10.71364/ijit.v2i1.15

Inchara. (2025). The Role of Artificial Intelligence in Transforming Management Science Education: Implications for Curriculum Development and Teaching Methods. Journal of Information Systems Engineering and Management, 10(10s), 442–453. https://doi.org/10.52783/jisem.v10i10s.1407

Mukkala, P. R. (2025). Integrating ICT With Artificial Intelligence for Transformative Education. Journal of Information Systems Engineering and Management, 10(10s), 546–555. https://doi.org/10.52783/jisem.v10i10s.1418

Murni Yanto, Warsah, I., Morganna, R., Muttaqin, I., & Destriani. (2022). Intercultural Sensitivity of Educational Management Students as the Future’s Educational Leaders in Indonesia. International Journal of Sociology of Education, 11(3). https://doi.org/10.17583/rise.10483

Naseer, F., & Khawaja, S. (2025). Mitigating Conceptual Learning Gaps in Mixed-Ability Classrooms: A Learning Analytics-Based Evaluation of AI-Driven Adaptive Feedback for Struggling Learners. Applied Sciences, 15(8). https://doi.org/10.3390/app15084473

Naseer, M. A., Saeed, S., Afzal, A., Ali, S., & Malik, M. G. R. (2025). Navigating the Integration of Artificial Intelligence in the Medical Education Curriculum: A Mixed-Methods Study Exploring the Perspectives of Medical Students and Faculty in Pakistan. BMC Medical Education, 25(1), 273. https://doi.org/10.1186/s12909-024-06552-2

Ng, D. T. K., Su, J., Leung, J. K. L., & Chu, S. K. W. (2024). Artificial Intelligence (AI) Literacy Education in Secondary Schools: A Review. Interactive Learning Environments, 32(10), 6204–6224. https://doi.org/10.1080/10494820.2023.2255228

Putri, N., Aprida, O., Warlizasusi, J., Sahib, A., & Destriani, D. (2024). The Role of Supervision in Improving the Quality of Islamic Education Management in Schools. Berkala Ilmiah Pendidikan, 4(3), 550–563. https://doi.org/10.51214/bip.v4i3.1166

Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I. (2023). Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. arXiv. https://doi.org/10.48550/arXiv.2309.10892

Satmunee, J., Tumthong, S., & Tupsup, S. (2025). Study and Analysis of the Need for an Intelligent Lesson Content Management System for Undergraduate Digital Technology Education. International Journal of Innovative Research and Scientific Studies, 8(2), 1875–1883. https://doi.org/10.53894/ijirss.v8i2.5557

Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial Intelligence in Education: AIEd for Personalised Learning Pathways. Electronic Journal of E-Learning, 20(5), 639–653. https://doi.org/10.34190/ejel.20.5.2597

Wong, L.-W., Tan, G. W.-H., Ooi, K.-B., Lin, B., & Dwivedi, Y. K. (2024). Artificial Intelligence-Driven Risk Management for Enhancing Supply Chain Agility: A Deep-Learning-Based Dual-Stage PLS-SEM-ANN Analysis. International Journal of Production Research, 62(15), 5535–5555. https://doi.org/10.1080/00207543.2022.2063089

Xu, X. (2025). AI Optimization Algorithms Enhance Higher Education Management and Personalized Teaching Through Empirical Analysis. Scientific Reports, 15(1), 10157. https://doi.org/10.1038/s41598-025-94481-5

Yue, M., Jong, M. S.-Y., & Dai, Y. (2022). Pedagogical Design of K–12 Artificial Intelligence Education: A Systematic Review. Sustainability, 14(23). https://doi.org/10.3390/su142315620.