The Influence of Artificial Intelligence on Learning Outcomes in Analog Electronics Practicum: The Role of Motivation and Laboratory Facilities
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Integrating artificial intelligence (AI) in education has garnered significant attention for its potential to enhance student engagement and improve learning outcomes. This study investigates how students' perceptions of AI, their motivation, and the quality of laboratory facilities influence learning outcomes in the Analog Electronics Practicum course. Central to this research is understanding how positive perceptions of AI affect student motivation and academic performance, addressing a gap in the existing literature given the increasing integration of technology in educational settings. This research uses a quantitative approach with path analysis to explore the relationships among AI perceptions, motivation, laboratory quality, and learning outcomes. The findings indicate significant positive correlations: AI perceptions accounted for 23.8% of the variance in learning outcomes, while motivation and laboratory facilities explained 48.8% and 54.4%, respectively. These results underscore the necessity of fostering positive AI perceptions and maintaining high-quality laboratory resources to enhance student engagement and academic success. The broader implications highlight the urgent need for educational institutions to integrate AI-driven tools and modernize laboratory facilities, equipping students with the technical skills and ethical awareness necessary for navigating future technological challenges.
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