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All Journal Journal of Educational Management Research International Journal of Education Research and Development
Haris, Yusman
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Humanities Education Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Artificial Intelligence-Based Learning Management to Improve the Effectiveness of the Independent Curriculum Haris, Yusman; Fransiska, Jenny; Kosmanto, Didi; Arianto, Repi; Asha, Lukman; Sutarto; Fakhruddin; Destriani
Journal of Educational Management Research Vol. 5 No. 1 (2026)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v5i1.1614

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
Artificial Intelligence-Based Islamic Education Management: Madrasah Governance Innovation in the Digital Era Kosmanto, Didi; Haris, Yusman; fransiska, Jenny; Warsah, Idi; Warlizasusi, Jumira; Apriani, Eka; Destriani, Destriani
International Journal of Education Research and Development ##issue.vol## 6 ##issue.no## 1 (2026): March
Publisher : Yayasan Corolla Education Centre

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52760/ijerd.v6i1.150

Abstract

The accelerating pace of digital transformation has heightened the demand for governance innovation in Islamic education institutions, particularly madrasahs striving to balance managerial effectiveness with ethical accountability. Although existing literature has explored digitalization in Islamic education, empirical research that explicitly addresses Artificial Intelligence-Based Islamic Education Management as a form of madrasah governance innovation remains limited. This study aims to investigate how AI-based Islamic education management is implemented and how it contributes to governance innovation in the digital era. A qualitative case study design was employed in selected madrasahs that have initiated digital transformation and adopted AI-supported management systems. Participants included madrasah principals, vice principals, senior teachers, academic coordinators, and information system operators who were directly involved in governance and managerial decision-making. Data were collected through semi-structured interviews, non-participant observations, and document analysis. The data were analyzed thematically to identify recurring patterns related to governance practices and innovation processes. The findings demonstrate that Artificial Intelligence-Based Islamic Education Management enhances governance effectiveness by enabling data-driven decision-making, improving administrative efficiency, and strengthening transparency and accountability in line with Islamic ethical values such as amanah and sh?r?. Nevertheless, challenges related to digital literacy, infrastructure readiness, and ethical concerns regarding data use remain evident. The study implies that while AI-based management offers substantial potential for madrasah governance innovation, its sustainability depends on institutional capacity building, ethical governance frameworks, and supportive policy environments.
Co-Authors Arianto, Repi Destriani Destriani, Destriani Eka Apriani, Eka Fakhruddin Fransiska, Jenny Idi Warsah Jumira Warlizasusi Kosmanto, Didi Lukman Asha Sutarto