Barriers to AI Course Assistant Adoption: Understanding Student Non-Utilization at LAPU

Abstract This study explores the factors contributing to the non-utilization of the AI course assistant Spark among some students at Los Angeles Pacific University (LAPU). Despite the demonstrated benefits of AI in enhancing academic performance, motivation, and learning efficiency, a proportion of students choose not to engage with this technology. Using a mixed-methods exploratory approach, this research identifies key barriers to adoption, including perceptions of unnecessity, lack of interest, and unfamiliarity with AI tools. The study further examines external factors such as technical challenges and a preference for traditional learning methods. By combining sentiment analysis with thematic analysis of student survey responses, this research provides a comprehensive understanding of the underlying reasons for non-use. The findings suggest that targeted strategies, such as improving communication about the benefits of AI tools, offering training to increase familiarity, and integrating AI more seamlessly into coursework could enhance the adoption and effectiveness of AI course assistants. This study contributes to the growing body of literature on AI in education and offers practical recommendations for educators and institutions aiming to maximize the impact of AI technologies on student learning outcomes.