Acta Informatica Malaysia (AIM)

ADOPTION OF ARTIFICIAL INTELLIGENCE TOOLS BY SELECTED STUDENTS OF THE CBAA AT LAGUNA UNIVERSITY: FACTORS INFLUENCING USAGE AND ACCEPTANCE

ABSTRACT

ADOPTION OF ARTIFICIAL INTELLIGENCE TOOLS BY SELECTED STUDENTS OF THE CBAA AT LAGUNA UNIVERSITY: FACTORS INFLUENCING USAGE AND ACCEPTANCE

Journal: Acta Informatica Malaysia (AIM)
Author: Czarina M. Esmerna

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.02.2025.42.48

This study assessed the factors that determine the adoption of AI tools by the 336 students of the Laguna University under the College of Business Administration and Accountancy (CBAA). The researcher used a descriptive-comparative and correlational research design wherein data were collected using a structured
survey and analysed using descriptive statistics, ANOVA, Pearson’s correlation, and regression analysis. The results showed high variability in the adoption of AI tools among programs, with the highest rates among Bachelor of Science in Accountancy students. Key predictors were identified, including facilitating conditions, performance expectancy, and social influence, with facilitating conditions being the strongest predictor. Perceived enjoyment strongly motivated adoption, and perceived ease of use significantly influenced attitudes toward AI tools, which was greater than perceived usefulness. Effort expectancy did not significantly affect actual usage, so students must have found that AI tools are intrinsically easy to use. The findings indicated differences in terms of access to resources and technological exposure, thus the study recommends tailored institutional strategies that foster an environment which focuses on the benefits of AI, and also, easy tool design is are essential step toward the enhancement of adoption and equal access across the academic programs.

Pages 42-48
Year 2025
Issue 2
Volume 9

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