<![CDATA[Students at vocational high schools (SMK) demonstrate low understanding of mathematical logic due to conventional, procedural instruction that lacks adaptive technology. Yet, logical reasoning is essential for programming and problem-solving in technical fields. This study developed and tested a deep-learning module powered by Artificial Intelligence (AI) to improve SMK students’ mastery of mathematical logic. The module delivers adaptive content, automatic feedback, and real-time error-pattern analysis. A quasi-experimental pretest–posttest control-group design was employed with 60 Grade-10 SMK students divided into an experimental group (AI module) and a control group (regular teaching). The instrument was a 20-item test (essay and reasoned multiple-choice) validated and reliable (α > 0.70). Data were analyzed using an independent-samples t-test. Results showed a significant gain in the experimental group (N-gain = 0.62, high category) versus the control group (N-gain = 0.38, medium category). Statistical tests confirmed a significant difference (p < 0.05), indicating the AI-based module effectively enhanced understanding of mathematical logic. the AI-driven deep-learning module is effective for teaching mathematical logic in SMK, supporting the development of adaptive learning technologies aligned with twenty-first-century vocational education needs.]]>
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