REVITALISASI PEMBELAJARAN PENDIDIKAN AGAMA HINDU PADA SISTEM GURUKULA BERBASIS DEEP LEARNING

Abstract

Hindu religious education plays an important role in shaping the character and spirituality of students. One of the traditional education models used is Gurukula, a dormitory-based system that prioritizes direct learning between teachers and students (guru-shishya parampara). As time goes by, the Gurukula approach needs to be adapted to remain relevant, one of which is by integrating Deep Learning, an artificial intelligence technology that can provide a more adaptive and personal learning experience. This study aims to explore good practices in Deep Learning-based Hindu religious learning in the Gurukula system. With a qualitative approach based on literature studies, this study analyzes how Deep Learning principles can be applied in Hindu religious learning to improve the effectiveness and conceptual understanding of students. The results of the study show that the combination of traditional Gurukula methods with Deep Learning-based technology can enrich the learning experience, increase student engagement, and maintain essential values ​​in Hindu religious education. Therefore, the integration of Deep Learning in Gurukula is a potential innovation in facing the challenges of modern education without eliminating Hindu spiritual and traditional values.