Supervision of Islamic and Science Education within Ethno Based Deep Learning: Implementation of a Love Based Curriculum in Madrasah Ibtidaiyah

Abstract

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.