Factors Affecting the Acceptance of Artificial Intelligence in Lifelong Larning Among Working-Age Learners Based on the UTAUT

Abstract

           This research aimed to study the level of acceptance and adoption of technology for lifelong learning among working adults and to examine the relationship between personal factors and technology acceptance. The sample consisted of 400 employees in Bangkok. The research instrument used the UTAUT conceptual framework. Data were analyzed using descriptive statistics, t-test, and ANOVA. The results showed that both male and female participants had a high level of acceptance and adoption of technology. Gender significantly influenced social factors and supporting conditions for technology use, while age did not affect the level of technology acceptance. The findings can be used as a guideline for designing and promoting the appropriate use of technology and artificial intelligence systems for lifelong learning among working adults, despite the limitation of the sample size being concentrated in the early working age group.