<![CDATA[The integration of Artificial Intelligence (AI) into higher education has become increasingly common alongside rapid digital transformation. Applications such as ChatGPT and QuillBot are widely used by university students to identify relevant references, strengthen their understanding of course materials, and facilitate the completion of academic assignments. The educational benefits of these technologies are influenced not only by the capabilities of AI systems but also by students' learning motivation, which determines how effectively such tools are utilized. This study examined the effects of AI utilization and learning motivation on the academic achievement of students in the Economic Education Study Program at Universitas Sebelas Maret. A quantitative approach employing an associative research design was implemented with 190 respondents selected through proportional random sampling. Data were obtained from questionnaires and documentation and analyzed using multiple linear regression. The findings indicate that both AI utilization and learning motivation positively influence academic achievement, while learning motivation contributes more substantially than AI utilization. These findings suggest that effective AI-supported learning should be accompanied by strong learning motivation to maximize students' academic achievement.]]>
Copyrights © 2026
