FACTORS AFFECTING THE DIGITAL INTELLIGENCE OF STUDENTS OF EDUCATION FACULTY IN THAILAND NATIONAL SPORTS UNIVERSITY

Abstract

This research is a quantitative research. The purpose of this research is to study, 1) The levels of factors and digital intelligence of students in the Faculty of Education, Thailand National Sports University. 2) The relationship between the factors and digital intelligence of students in the Faculty of Education, Thailand National Sports University. and 3) The construction of a predictive equation for the digital intelligence of students in the faculty of Education, Thailand National Sports University. The sample group for this study consisted of 400 Students at Thailand National Sports University in the academic year 2025, selected through two-stage random sampling. The research instrument was a questionnaire. The statistics used for analysis included descriptive statistics: means, and standard deviations; and inferential statistics: Pearson correlation analysis and stepwise multiple regression analysis. The research findings revealed that: 1) The level of factors and digital intelligence, both overall and in each aspect, is at a high level. 2) factor demonstrated a statistically significant positive relationship with digital intelligence at the 0.05 level. 3) The factors found to have a statistically significant effect on digital intelligence (p < 0.05), ordered by their magnitude of influence from highest to lowest, included: instructional management factors that promote digital intelligence, student development activity factors that promote digital intelligence, motivation factors that promote digital intelligence and family support factors that promote digital intelligence. These factors collectively predicted digital intelligence by 70.10%, and the predictive equation can be expressed as follows: Raw score regression equation Y^/ = 0.50 + 0.28(X₁) + 0.24(X₂) + 0.23(X₅) + 0.13(X₆) Standardized regression equation Z^/_Y = 0.30(ZX₁) + 0.27(ZX₂) + 0.25(ZX₅) + 0.15(ZX₆)