Pendekatan Deep Learning dalam Pendidikan Agama Kristen untuk Membentuk Sikap Toleransi Peserta Didik

Abstract

This study aims to analyze the relevance of the Deep Learning approach in Christian Religious Education (CRE) as an effort to develop students’ tolerance in the context of Indonesian society, which is characterized by religious, cultural, ethnic, and social diversity. The study is expected to provide a conceptual contribution to the development of CRE that is oriented not only toward religious knowledge but also toward character development, social awareness, and the ability to live together amid diversity. This research employed a literature study with a qualitative descriptive approach by examining academic books, journal articles, and previous studies relevant to Deep Learning, CRE, and tolerance. The data were analyzed through identification, thematic categorization, interpretation, comparison, and synthesis of the literature. The findings indicate that the three pillars of Deep Learning, namely mindful learning, meaningful learning, and joyful learning, are conceptually relevant to supporting the development of tolerance. Mindful learning fosters awareness and reflection on diversity; meaningful learning connects religious values with students’ real-life experiences; while joyful learning creates a safe, comfortable, open, and participatory learning environment. These three pillars complement one another in promoting the internalization of love, empathy, respect, and openness toward differences. The study concludes that integrating Deep Learning into CRE has the potential to serve as a relevant pedagogical approach for strengthening students’ tolerant character, although its effectiveness still needs to be empirically examined.