TRUST IN INFORMATION GENERATED BY KU GENAI PLATFORM AMONG UNDERGRADUATE STUDENTS AT KASETSART UNIVERSITY

Abstract

This study aimed to: 1) examine the level of information trust in KU GenAI Platform among undergraduate students, 2) compare information trust in KU GenAI according to demographic factors, and 3) examine the relationship between knowledge and understanding of KU GenAI and information trust in KU GenAI. The sample consisted of 530 undergraduate students at Kasetsart University enrolled in the second semester of the 2025 academic year. Data were collected using a questionnaire, and analyzed using frequency, percentage, mean, standard deviation, t-test, One-Way ANOVA, Bonferroni, and Pearson Product Moment Correlation Coefficient, with a statistical significance level set at .05. The results revealed that undergraduate students demonstrated a high level of information trust in KU GenAI overall (Mean = 4.33, S.D. = .583). All three sub-dimensions were also rated at a high level: response verification (Mean = 4.42, S.D. = .571), usability (Mean = 4.35, S.D. = .599), and accuracy (Mean = 4.25, S.D. = .682). Hypothesis testing found that students differing in year of study, English language proficiency, and GPA demonstrated significantly different levels of information trust, while no significant difference was found between students of different sex. Furthermore, knowledge and understanding of KU GenAI showed a weak positive relationship with information trust (r = .223).

Keywords: Trust in AI-generated information, KU GenAI Platform, Information quality, Undergraduate students, Artificial intelligence adoption in higher education