Deep Learning Policy Implementation for Character Development

Deep Learning policy implementation in Indonesia aims to transform pedagogical practices through mindful, meaningful, and joyful learning principles to develop holistic character aligned with Pancasila Student Profile dimensions. However, systematic analysis of implementation dynamics using comprehensive theoretical frameworks remains limited, particularly in elementary school contexts. This qualitative instrumental case study employed the Edwards III model to analyze Deep Learning policy implementation at SD Negeri 2 Kesamben involving 15 participants. Data were collected through semi-structured interviews, 18 classroom observations, and document analysis, then analyzed using thematic analysis with NVivo 14 software. Findings revealed communication distortion from leadership (95% comprehension) to technical implementation (55%), resource disparities between trained (4.2) and untrained teachers (3.3), implementor disposition variations (75% positive, 25% neutral/resistant), and bureaucratic structure challenges in coordination. Deep Learning principles achieved 66.7%-100% implementation rates, yielding significant character development across eight dimensions, particularly collaboration (4.5), creativity (4.3), and communication (4.2). School culture emerged as a moderating factor facilitating implementation effectiveness. Results validate the Edwards III model's applicability in developing country contexts while identifying factor interactions and cultural dimensions as critical implementation determinants. Successful implementation requires simultaneous attention to communication clarity, capacity building, positive dispositions, and enabling bureaucratic structures within supportive organizational cultures. Findings provide practical guidance for schools implementing transformative pedagogical policies within Indonesia's Merdeka Curriculum framework.