Transformasi Supervisi Akademik Berbasis Data Dalam Meningkatkan Kualitas Pembelajaran Pada Madrasah Di Era Digital

Abstract

Digital transformation encourages madrasahs to develop academic supervision that is more systematic, objective, and oriented toward improving instructional quality. The study aims to analyze the role of data-based academic supervision, its implementation strategies for improving instructional quality, and the challenges that arise within the madrasah education environment. This research employs a qualitative approach through a literature review of references concerning digital academic supervision, madrasah leadership, teacher competence, and instructional quality management. The study integrates Ludwig von Bertalanffy’s Grand Theory of General System Theory: Foundations, Development, Applications, which is relevant to a systemic approach and the utilization of data feedback. Data analysis was conducted by categorizing concepts, identifying interrelationships among themes, and formulating a conceptual synthesis. The discussion reveals that data derived from classroom observations, student assessments, teacher reflections, and learning documentation can support more targeted supervision decision-making. Its success requires digital competence, data protection, collaboration, and a humanistic approach. This research offers a conceptual framework for the ongoing development of academic supervision in madrasahs during the digital era.