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All Journal El-HARAKAH : Jurnal Budaya Islam Nadwa : Jurnal Pendidikan Islam AT TA´DIB Al-Wijdan : Journal of Islamic Education Studies Al Ishlah Jurnal Pendidikan Syntax Literate: Jurnal Ilmiah Indonesia Kuttab: Jurnal Ilmu Pendidikan Islam Idaarah: Jurnal Manajemen Pendidikan Tadbir: Jurnal Manajemen Dakwah Ulumuna
Mulyono Mulyono
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Religion Arts Humanities Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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The Construction of an AI-Based Curriculum and Learning Management System in Rural Private Madrasah Ibtidaiyah in Indonesia Mulyono Mulyono
Nadwa: Jurnal Pendidikan Islam Vol. 19 No. 2 (2025): Nadwa: Jurnal Pendidikan Islam
Publisher : Faculty of Education and Teacher Training, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/nw.2025.19.2.29640

Abstract

The era of digitalization demands technological adaptation across all sectors of education, including Islamic private school (Madrasah Ibtidaiyah/MI) in Indonesia. This study aims to construct a contextual Artificial Intelligence (AI)-based curriculum and learning management system for rural private MI. The research employs mixed methods sequential explanatory design, integrating a Systematic Literature Review (SLR) and a single qualitative case study conducted at the pilot MI Ulul Albab in Prayungan Village, Sawoo, Ponorogo. Data were collected through literature review, in-depth interviews with the principal and teachers, and field observations. The findings reveal a significant gap between the theoretical potential of AI in education and the realities of limited digital infrastructure in rural madrasahs. Nevertheless, the urgency of AI adoption remains high, particularly in supporting teachers’ administrative tasks and facilitating more personalized learning. Infrastructure constraints are partially offset by the strong enthusiasm and local agency of school leaders and teachers. Based on these findings, this study proposes the concept of “Adaptive Innovation Based on Local Agency,” an approach that emphasizes mobile-first, lightweight, and low-cost AI solutions.
Co-Authors Asmaun Sahlan Dzaki Aflah Zamani Hendra Kurniawan Imam Muslimin Ira Wirdatus Solichah Lina Karnila Mohammad Asrori Mufarrahah Faishal Mulyadi Mulyadi Naslim Naslim Nyak Dara Najmatus Subhi Samsul Susilawati Sri Murni Indriani Suci Hidayati Syamsul Arifin Weyldan Bisri Habibi