A Study on Student Perceptions and Outcomes of Usage of AI Tools in Academic Support

This study investigates students’ perceptions, usage habits, and academic outcomes associated with artificial intelligence (AI) tools in higher education. Retrieving data from 120 students at Dr. AIT, Nagarabhavi, the research examines how demographic and contextual factors relate to AI tool usability, academic achievement, and self-efficacy. Findings from Spearman’s correlation analysis show a weak but statistically significant positive relationship between demographic variables and students’ perceptions of AI tools, a weak negative yet significant association between usage frequency and perceived changes, and no meaningful link between frequency of use and academic self-efficacy. The results suggest that while students appreciate the convenience and time-saving features of AI tools, frequent use alone does not necessarily enhance confidence or academic performance. These insights offer practical recommendations for educators and policymakers seeking to strengthen the effective integration of AI in academic settings.