Analysis of Technology-Based CRE Learning Models Using a Deep Learning Approach for High School Students

Abstract

The development of digital technology in the modern era has brought major changes to the world of education, including Christian Religious Education (CRE). The CRE learning process in various schools still tends to be conventional, teacher-centered, and does not make optimal use of technology. This condition has resulted in low student engagement and a lack of reflective understanding of the values of faith. This study aims to analyze technology-based CAR learning models using a deep learning approach for high school students. The method used is descriptive qualitative with a library research study through a review of relevant books, scientific journals, and previous studies. The results of the study show that of the five technology-based learning models studied, namely e-learning, blended learning, mobile learning, multimedia learning, and gamification. The gamification model is the most effective choice to be applied with a deep learning approach. The application of gamification supports the three main dimensions of deep learning, namely meaningful learning, mindful learning, and joyful learning. Through the integration of digital technologies such as gamification, reflective videos, and other interactive media, students not only understand the material cognitively, but are also able to internalize religious values and apply them in their daily lives. This approach has proven effective in developing the potential of high school students cognitively (critical and reflective thinking), physically (active and motivated), and socially (collaborative and empathetic). Thus, technology-based PAK learning with a deep learning approach not only improves academic learning outcomes but also shapes Christian character that is faithful, creative, and responsible amid the challenges of the digital age.