Dhea Anjhani; Amrina Rosyada; Ahmad Zainuri
This study explores the integration of Islamic educational supervision and scientific knowledge within a deep learning framework enriched by ethnopedagogical values, referred to as ETHNO-based love-centered curriculum implementation in Madrasah Ibtidaiyah. The purpose of this research is to examine how supervisory practices rooted in Islamic principles such as tarbiyah, uswah hasanah, and tazkiyatun nafs can synergize with modern technological approaches, particularly deep learning algorithms designed to enhance personalized learning, pattern recognition, and adaptive feedback systems. Through a qualitative descriptive approach, this study analyzes the role of teachers, supervisors, and educational leaders in designing, applying, and evaluating learning processes that incorporate local cultural wisdom, emotional bonding, and ethical-spiritual values. The findings reveal that combining Islamic supervision with ETHNO-based deep learning creates a holistic learning ecosystem, allowing students to develop academic competencies while strengthening character, empathy, and cultural identity. The love-based curriculum model encourages a warm educational atmosphere, improves student engagement, and fosters collaborative learning. Furthermore, deep learning technologies help educators track student progress more accurately, personalize instruction, and provide early intervention for learning difficulties. The study concludes that an ETHNO-embedded deep learning curriculum supervised through Islamic educational principles can significantly enhance the quality of learning in Madrasah Ibtidaiyah, promoting both cognitive excellence and moral-spiritual development.