Artificial Intelligence (AI) Innovation in Education: From Data-Driven Learning to Automated Teaching

This research explores Artificial Intelligence (AI) innovation in madrasa education, especially in applying data-driven learning and automated teaching. This research aims to understand how AI can improve the teaching and learning process through in-depth analysis of student data and adaptive automated teaching. Using a qualitative method with a case study type, data was collected through in-depth interviews and participant observation at Madrasah, which has implemented AI technology. The research results show that data-driven learning allows teachers to design more personalized and effective learning based on comprehensive data analysis. Meanwhile, automated teaching through AI provides real-time guidance and feedback, accelerating students’ understanding of lesson material. These findings indicate that the integration of AI in madrasa education strengthens the quality of learning and creates a more inclusive and adaptive learning environment.