Perceived Usefulness and Ease of Use as Predictors of Behavioral Intention to Adopt ChatGPT in Higher Education
Merrill Chavez, Michelle De Asis, Melchorie Bepinoso, Rhea Calvo
Received: 05 March 2026; Revised: 11 April 2026; Accepted: 15 May 2026; Published: 16 May 2026
DOI: https://doi.org/10.66074/MED88O66P7
Abstract
Integration of AI-powered tools in higher education requires examining how students perceive their practicality, usability, and willingness to engage. This research explored the use of ChatGPT among 538 undergraduates from two institutions in Southern Negros, Philippines, guided by the Technology Acceptance Model (TAM). Findings revealed that, while the intention to continue use was moderate, learners generally acknowledged its academic value and user-friendliness. Significant differences emerged across training status, year level, and usage frequency, with senior and formally trained participants reporting stronger scores. Regression analysis within the TAM framework demonstrated that perceived utility (β = .567) and ease of interaction (β = .286) were both significant predictors of intention, jointly accounting for 64.5% of variance (R² = .645). Exploratory factor analysis of the 15-item subset produced a clear three-factor solution, with each construct loading distinctly, thereby affirming the discriminant validity of usefulness, usability, and behavioral intention.
Keywords: behavioral intention, ChatGPT, perceived ease of use, perceived usefulness, Technology Acceptance Model
Corresponding Author Information: Fellowship Baptist College, Kabankalan City, Philippines; [email protected]
Volume 2, Issue 2, June 2026