<![CDATA[This study aims to evaluate the effectiveness of implementing the Deep Learning instructional model in improving student learning outcomes in the topic "Applying Computational Thinking" within the Informatics subject. A quantitative approach with a True-Experimental method was employed in this research. Data were gathered through pre-test and post-test instruments administered to both a control group (N = 14) and an experimental group (N = 18).The results indicated that the implementation of the Deep Learning model had a significant effect on student learning outcomes. The mean pre-test score of the experimental group was 36.00, which increased significantly to 87.22 in the post-test. Meanwhile, the control group using traditional lecture-based learning achieved a mean pre-test score of 26.07 and a post-test score of 40.71. Hypothesis testing using an Independent Samples t-Test yielded t_calculated = -11.066 (df = 30) with a 2-tailed significance value of p < 0.001, indicating the rejection of H0 (p < 0.05). The mean difference of 46.452 points and a large effect size (Cohen's d = 3.943) confirm that the Deep Learning model is highly effective in significantly enhancing student skills and learning outcomes.]]>
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