Behaviour of students in using Artificial Intelligence for educational purposes

This research studies the behavior and readiness of undergraduate students in utilizing artificial intelligence (AI) tools for academic purposes at Isabela State University. Using a structured survey with 487 respondents, the study explores four key indicators: familiarity with AI, frequency of use, perceived benefit, and comfort with institutional monitoring. Results show that students possess moderate to high familiarity with AI technologies (mean = 3.80), yet frequency of use remains lower (mean = 2.81), indicating a gap between awareness and application. Perceived benefit of AI tools was generally positive (mean = 3.45), while comfort with monitoring lagged (mean = 3.21), suggesting trust and privacy concerns. Correlation analysis revealed strong relationships between frequency of use and perceived benefit (r = 0.69), and between familiarity and use (r = 0.62). Additional analysis showed a progressive increase in all three variables as AI usage frequency rose. These findings underscore the importance of integrating ethical AI training, user-centered exposure, and data privacy policies into educational frameworks to foster responsible and effective AI adoption in academic contexts.