Learning activities in the Basic Vocational Program subject at SMKN 1 Cilegon are still predominantly conducted through conventional instructional methods, accounting for 84.4% of classroom practices and limiting student’s active engagement. This study developed an interactive learning module using the Genially platform integrated with a deep learning approach for the topic of Active and Passive Electronic Components and evaluated its feasibility, practicality, and effectiveness through a Research and Development (R&D) method based on the ADDIE model, consisting of analysis, design, development, implementation, and evaluation stages. The participants were 34 tenth-grade students of Mechatronics Engineering at SMKN 1 Cilegon, with data collected through expert validation instruments, student response questionnaires, and pretest–posttest assessments. The results showed that the module was highly feasible, with validation scores of 71 from media experts (X ≥ 54) and 79 from material experts (X ≥ 60), while student responses indicated very high practicality with an average score of 84.5 (X ≥ 72). In terms of effectiveness, learning outcomes improved significantly, as shown by an increase in the average score from 51.6 on the pretest to 91.2 on the posttest, with an N-Gain value of 0.822 categorized as high, confirming that the developed module is feasible, practical, and effective in enhancing student learning outcomes and supporting student-centered learning in vocational education.
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