FACTORS AFFECTING THE USE OF ARTIFICIAL INTELLIGENCE FOR LEARNING OF STUDENTS IN PRIVATE VOCATIONAL COLLEGES

Abstract

Artificial intelligence has become significantly influential in all aspects of life, including the field of education, where promoting education has traditionally been the sole responsibility of teachers. However, the rapid growth of artificial intelligence necessitates an adaptation in the future of learning management. This research aims to 1) Study the state of artificial intelligence use for learning. 2) Compare the use of artificial intelligence for learning, classified by personal factors,and 3) Study the factors affecting the use of artificial intelligence for learning among students in private vocational colleges. Data were collected from 400 students, with a purposive sampling method. A questionnaire was used as a research instrument. Data were analyzed using t-tests, one-way ANOVA, and MRA with pairwise differences tested using the LSD method. The study found that 1) The overall condition of using artificial intelligence for learning is at a high level, with the most use being for general facilitation, 2) The use of artificial intelligence for learning varies according to the year of study, field of study, and region of the educational institution, and 3) The factors of technology compatibility, data privacy, and social influence all significantly affect the use of artificial intelligence for learning by students in private vocational colleges in the same direction at a statistical significance level of .01. All factors together can explain 22.70% of the use of artificial intelligence for learning by students. The factors, ranked by influence, are data privacy (Beta = .300), social influence (Beta = .156), and technology compatibility (Beta = 0.141)