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All Journal Al Arsy: Journal of Education, Management and Islamic Thought
Muna
Universitas Darunnajah

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SINERGI DAKWAH KONTEMPORER, KURIKULUM MERDEKA DAN AI DALAM TRANSFORMASI PENDIDIKAN ISLAM Muna; Muhammad Fauzan Aziman
Al Arsy: Journal of Education, Management and Islamic Thought Vol. 2 No. 1 (2026): Februari
Publisher : PT. Sulthan Journal Publisher

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This study aims to examine the role of contemporary da'wah and the implementation of the Merdeka Curriculum in developing adaptive Islamic education management in the era of Artificial Intelligence (AI). Using a qualitative-conceptual approach with the library research method, this study analyzes how Islamic educational institutions can integrate traditional values with modern technology. The findings indicate that the Merdeka Curriculum, through the P5 RA (Strengthening the Pancasila and Rahmatan Lil Alamin Student Profile Project), provides a strategic framework for religious moderation and character building. Furthermore, the integration of AI acts as a catalyst for personalized learning and digital da'wah, although it faces challenges such as infrastructure gaps and digital ethics (adab). This research concludes that a synergy between flexible curriculum management, teacher digital competency, and AI ethics reconstruction is essential for the future relevance of Islamic education
AI-ASSISTED SUPERVISION DALAM PENDIDIKAN ISLAM: MODEL HUMAN-CENTERED UNTUK PENINGKATAN MUTU Muna; Muhammad Fauzan Aziman
Al Arsy: Journal of Education, Management and Islamic Thought Vol. 2 No. 4 (2026): Agustus
Publisher : PT. Sulthan Journal Publisher

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Artificial Intelligence (AI) is increasingly incorporated into educational management, yet its application within Islamic educational supervision remains conceptually underdeveloped. This study aims to formulate a human-centered AI-assisted supervision model for improving the quality of Islamic education. An integrative literature review was conducted using scholarly articles, academic books, and policy documents addressing educational supervision, Islamic educational management, artificial intelligence, teacher AI competence, and human-centered AI. The literature was analyzed thematically across four domains: supervisory transformation, AI-supported decision making, professional development, and ethical and contextual governance. The synthesis indicates that AI can strengthen supervision through data integration, performance mapping, pattern detection, learning analytics, administrative support, and preliminary feedback. Nevertheless, AI cannot replace supervisors' contextual, relational, pedagogical, and professional judgment. The proposed AI-Assisted Islamic Educational Supervision (AIIES) model consists of seven stages: data collection, AI analysis, human verification, contextual interpretation, professional coaching in Islamic education, evaluation, and continuous improvement. The model positions AI as a decision-support instrument while retaining human authority over interpretation, coaching, and high-impact decisions. The study contributes a conceptual framework for integrating AI into Islamic educational supervision without reducing supervision to automated monitoring.
Co-Authors Muhammad Fauzan Aziman