KNOWLEDGE AND UNDERSTANDING OF GOVERNMENT DATA CENTER AND CLOUD SERVICE (GDCC) AMONG UNDERGRADUATE STUDENTS AT KASETSART UNIVERSITY

Abstract

This study aimed to: 1) examine the level of knowledge and understanding of Government Data Center and Cloud Service (GDCC) among undergraduate students at Kasetsart University, 2) compare the knowledge and understanding of GDCC according to demographic factors, and 3) examine the association between frequently used media and the level of knowledge and understanding of GDCC. The sample was 305 undergraduate students at Kasetsart University enrolled for the second semester of the 2023 academic year. Questionnaires collected data. The statistical methods utilized included frequency, percentage, mean, standard deviation, t-tests, One-Way ANOVA, Scheffé tests, Chi-square, and Cramér's V, with a significance level of 0.05. The findings indicated that the level of knowledge and understanding of the GDCC was low (Mean = .50, S.D. = .09). When examined across distinct areas, all were found to be at a low level, except for basic data, which was slightly higher (Mean = .51, S.D. = .30). The remaining areas-Platform as a Service (PaaS) (Mean = .50, S.D. = .17), Infrastructure as a Service (IaaS) (Mean = .49, S.D. = .18), and Software as a Service (SaaS) (Mean = .49, S.D. = .19)-were all at a low level. The hypothesis testing showed that the satisfaction differed significantly by faculty and frequency of AI usage, but not by sex, academic year, or length of AI use. Moreover, frequently used media showed a weak positive association with the level of knowledge and understanding (Cramér's V = .098).