Integration of Deep Learning and Curriculum Love As an Education Revitalization Strategy

Abstract

Education in Indonesia still faces dominant challenges in the form of cognitive orientation that emphasizes academic achievement alone, while aspects of character, emotional health, and 21st century skills have not developed optimally. This condition demands a revitalization of education through a more holistic approach. This research aims to analyze the urgency of integrating deep learning and love curriculum in education, identify the contribution of each approach, and formulate an integrative model that can support the realization of a healthy, smart, and characterful generation. The research method used is a literature study with a descriptive-analytical qualitative approach, conducted through a systematic search of academic literature, books, and education policy reports from the last ten years. The results show that deep learning contributes significantly to improving critical, reflective thinking and 21st century skills, while the love curriculum plays an important role in building learners' character, empathy and emotional health. Further analysis shows that the integration of the two can lead to a holistic education model that balances cognitive and affective development and creates a meaningful, reflective and caring learning climate.