Factors influencing university students' behavior in using artificial intelligence in learning: An empirical study from Ho Chi Minh City

Abstract

This study examines the factors affecting university students' behavior regarding the use of artificial intelligence (AI) tools for learning. We utilize a mixed-methods approach, combining qualitative and quantitative research methodologies. The qualitative phase involves focus group discussions with 10 students to modify the measurement scales. Subsequently, quantitative research is conducted to test hypotheses and assess the research model, using survey data from 357 university students in Ho Chi Minh City. The research model is evaluated through the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. The results reveal that Perceived Usefulness and Perceived Ease of Use have a positive impact on students' Attitude toward using AI. Additionally, Attitudes toward using AI, Self-regulation, Information System Quality, and Hedonic Motivation are found to positively influence students' behavior toward the adoption of AI tools in learning. Based on these findings, several recommendations are proposed to enhance using AI in students’ learning activities.