Deep Learning in Indonesian education is an approach intended to create conscious, meaningful, and joyful learning experiences. Its implementation in elementary schools requires teacher readiness, school support, adequate learning resources, and adjustment to students’ needs. This article examines the implementation of the Deep Learning policy using William N. Dunn’s six policy evaluation criteria: effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness. It uses library research with a conceptual approach by reviewing relevant scholarly literature, education regulations, and policy documents. The analysis links policy objectives, implementation capacity, potential implementation gaps, and the six criteria. The conceptual synthesis indicates that implementation should be assessed not only through teaching documents and training activities, but also through students’ learning experiences, teachers’ capacity to apply the approach, school support, equitable learning opportunities, and the suitability of learning strategies. The article proposes a conceptual framework connecting policy direction, implementation capacity, classroom practice, learning evidence, and feedback for improvement. As a library-based article, it does not claim to measure implementation outcomes empirically across Indonesia.
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