SATISFACTION WITH THE USE OF AI FOR LANGUAGE TRANSLATION ASSISTANCE AMONG UNDERGRADUATE STUDENTS AT KASETSART UNIVERSITY

Abstract

This study aimed to: (1) to assess the satisfaction level regarding AI usage for language translation assistance among undergraduate students at Kasetsart University, (2) to compare the satisfaction across different demographic factors, (3) to compare the satisfaction based on the frequency of AI utilization, (4) to compare the satisfaction based on the duration of AI utilization, (5) to investigate the association between AI-assisted tools and the satisfaction, and (6) to study the association between the interface and the satisfaction. Questionnaire data from 305 students (second semester, 2024) were analyzed using frequency, percentage, mean, standard deviation, t-test, One-Way ANOVA, Scheffé, Chi-square, and Cramér's V (α = .05). The results indicated that the level of satisfaction was high (Mean = 4.01, S.D. = .54). In addition, satisfaction was consistently high across all areas, including efficiency (Mean = 4.19, S.D. = .57), portability (Mean = 4.13, S.D. = .59), functionality (Mean = 4.09, S.D. = .60), maintainability (Mean = 4.05, S.D. = .63), usability (Mean = 3.86, S.D. = .67), and reliability (Mean = 3.82, S.D. = .73). The hypothesis testing showed that the satisfaction differed significantly by sex, faculty, frequency of AI usage, and length of AI use, but not by academic year. Moreover, AI-assisted tools exhibited a weak positive association with the satisfaction level (Cramér’s V = .18). Lastly, the AI interface had a weak positive association with the satisfaction level (Cramér’s V = .14).