<![CDATA[This study aims to examine the effect of Artificial Intelligence (AI) utilization in learning on students’ self-directed learning, with learning motivation as a mediating variable among eleventh-grade students of SMKN 14 Jakarta. This study employed a quantitative survey method. The population consisted of 324 students, and 179 students were selected as the sample using the Slovin formula with a 5% margin of error and simple random sampling technique. Data were collected through a Likert-scale questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) with SmartPLS 4. The results show that (1) AI utilization in learning has a positive and significant effect on both self-directed learning and (2) learning motivation, while (3) learning motivation also has a positive and significant effect on self-directed learning. In addition, (4) learning motivation partially mediates the relationship between AI utilization and self-directed learning. These findings indicate that the more effectively AI is utilized in learning, the higher students’ learning motivation and self-directed learning will be. This study is expected to serve as a reference for schools and educators in developing AI-based learning strategies to enhance students’ motivation and self-directed learning.]]>
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