Deep Learning Approaches for Strengthening Character Education in Multicultural Contexts

Abstract

Deep learning integrates three key aspects: mindful learning, meaningful learning, and joyful learning. The deep learning model is capable of identifying complex patterns through discussions, experiments, projects, and understanding the rationale behind each topic studied, thereby producing a profound and enjoyable learning experience. This study examines deep learning as an effort to instill character in students, which also requires meaningful integration between cognitive, affective, and psychomotor domains. To achieve a mindset transformation, practical actions are needed that progress from being able but forced, to becoming accustomed, and eventually forming attitudes or character. This research employed a qualitative method. Data were collected through interviews, observations, and documentation. Data analysis was conducted using the Miles and Huberman framework, and the findings were presented descriptively. The results show that two aspects—mindful learning and meaningful learning—are more suitable to be given greater emphasis in the learning process to strengthen students’ character education