A Deep Learning-Based ISMUBA Instructional Model to Foster Integrity Character in Elementary Islamic Education

This study explores the implementation of a deep learning-based ISMUBA instructional model as a strategy to foster students’ integrity character at SD Muhammadiyah 12 Pamulang, Indonesia. The ISMUBA curriculum (Islamic Studies, Muhammadiyah Ideology, and Arabic Language) is integrated with the principles of deep learning, emphasizing reflective, meaningful, and joyful learning. A qualitative field research design was employed, utilizing interviews, observations, and documentation to gather data. Findings indicate that character formation was achieved through contextual and reflective learning activities such as “Didikan Subuh,†“Dhuha Ceria,†and thematic projects. Key supporting factors include competent teachers, a religious school environment, and aligned school policies. Conversely, the primary challenges identified were limited instructional materials, time constraints, and inconsistent parental involvement. Despite these barriers, the model successfully enhanced students’ honesty, responsibility, discipline, and empathy. The study recommends the development of structured ISMUBA modules and teacher training programs focused on deep learning principles to optimize character education outcomes in faith-based elementary schools.