BASIC KNOWLEDGE AND UNDERSTANDING OF KU GENAI PLATFORM AMONG UNDERGRADUATE STUDENTS AT KASETSART UNIVERSITY

Abstract

This study's aims were to: 1) examine the level of basic knowledge and understanding of KU GenAI platform among undergraduate students at Kasetsart University, 2) compare the basic knowledge and understanding of KU GenAI according to demographic factors, and 3) examine the association between frequently used media and the level of basic knowledge and understanding of KU GenAI. The sample consisted of 530 undergraduate students enrolled in the second semester of the 2025 academic year at Kasetsart University. Data were collected using a structured questionnaire. Statistical techniques employed for data analysis included frequency, percentage, mean, standard deviation, independent samples t-test, One-Way ANOVA with Bonferroni post hoc comparison, Chi-square test, and Cramér’s V, with statistical significance set at the .05 level. The findings revealed that undergraduate students at Kasetsart University demonstrated a high level of basic knowledge and understanding of KU GenAI platform (M = .91, S.D. = .14). All dimensions were also rated at a high level, including personal data management (M = .94, S.D. = .14), fundamental system operations (M = .92, S.D. = .16), academic use (M = .91, S.D. = .18), and system limitations (M = .88, S.D. = .19). Hypothesis testing indicated that students with different academic years and faculties exhibited significantly different levels of basic knowledge and understanding of KU GenAI, whereas no significant difference was found between students of different sex. In addition, frequently used media was weakly associated with the level of basic knowledge and understanding of KU GenAI, showing a low positive relationship (Cramér’s V = .16).

Keywords: Generative Artificial Intelligence, KU GenAI platform, Knowledge and Understanding, Undergraduate Students, Kasetsart University