<![CDATA[The development of Artificial Intelligence (AI) offers opportunities to support learning in vocational high schools (SMKs); however, its use in learning the Continuously Variable Transmission (CVT) system remains limited and has not been widely investigated in a structured manner. This gap indicates the need for an AI-based learning strategy that not only provides information but also guides students to verify information and connect it with practical activities; therefore, this study introduces the integration of AI through structured student worksheets (LKPD) as a novel approach to CVT system learning. This study aims to analyze the effect of AI use on students' learning outcomes in the Motorcycle CVT System material among Grade XI students of the Motorcycle Engineering Skills Program at SMKN 1 Singosari. A quantitative approach with a pre-experimental one-group pretest-posttest design was employed, involving all 35 students through saturated sampling (total sampling). The treatment consisted of AI-assisted CVT System learning using structured student worksheets containing prompts, AI-generated answer summaries, verification, practical steps, and independent conclusions. The Shapiro-Wilk test indicated that the difference scores were not normally distributed; therefore, the hypothesis was tested using the Wilcoxon Signed Rank Test. The mean score increased from 71.29 on the pretest to 93.40 on the posttest (Z = −5.154; p < 0.001). The mean N-Gain of 0.770 was categorized as high, while the Wilcoxon effect size (r = 0.871) was categorized as large. Learning mastery increased from 25.7% to 100%. These findings indicate that the structured use of AI through student worksheets has the potential to improve students' learning outcomes in Motorcycle CVT System learning.]]>
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