<![CDATA[Creativity is a crucial skill in visual arts education; however, instruction for fifth-grade students at SD Negeri 1 Haurkuning has tended to rely on conventional methods, resulting in low student engagement and suboptimal development of creativity. The RADEC model (Read, Answer, Discuss, Explain, Create) can foster student engagement and creativity through activities involving reading, discussing, explaining, and creating artworks. To optimize this process, RADEC is integrated with a deep learning approach, which emphasizes conscious, meaningful, and enjoyable learning. This study employs the Research and Development (R&D) method using the ADDIE development model, comprising five stages: Analyze, Design, Development, Implementation, and Evaluation. The research subjects were 30 fifth-grade students at SD Negeri 1 Haurkuning. Data collection techniques included expert validation sheets, teacher and student response questionnaires, observations, and creativity tests (pretest and posttest). Data analysis was conducted using quantitative descriptive methods with the aid of SPSS, encompassing descriptive statistics, normality tests, hypothesis testing, and N-Gain analysis. The results indicate that the RADEC learning model combined with the deep learning approach is feasible and practical for visual arts instruction. Teacher responses showed a 90% positive rate (categorized as "Strongly Agree"), while student responses showed a 98.3% positive rate (categorized as "Strongly Agree"). Analysis revealed that the average pretest score of 44.20 increased to 87.93 in the posttest. The Wilcoxon Signed-Rank test yielded an Asymp. Sig. (2-tailed) value of 0.000 (< 0.05), indicating a significant difference between pretest and posttest results. Furthermore, the average N-Gain score was 0.7831 (or 78.31%), falling into the high category. Thus, the RADEC learning model with a Deep Learning approach is proven effective in enhancing student creativity in Grade V Visual Arts lessons at SD Negeri 1 Haurkuning.]]>
