ASSESSMENT OF ESSENTIAL SKILLS FOR WORKING IN THE DIGITAL ERA: INTEGRATION OF AI UTILIZATION AND TEAM COLLABORATION TO DEVELOP ACADEMIC SUPPORT PERSONNEL IN GRADUATE SCHOOL

Abstract

This study investigated the relationship between basic demographic factors—gender, age, and length of work experience—and essential skills required in the digital era, including AI skills, teamwork skills, and general digital skills, among staff in a higher education context. A survey was conducted, and data were analyzed using descriptive statistics, Independent Sample t-tests, and ANOVA to examine differences across demographic groups. The results indicated that, overall, respondents demonstrated high levels of digital literacy, effective teamwork, and positive attitudes toward technology adoption. Cloud-based file management, office software proficiency, and online learning platform usage were the strongest digital skills, while cybersecurity and team task management via specialized software were identified as areas needing further development. Respondents expressed confidence in learning new technologies, recognized the productivity benefits of AI, and desired additional training to enhance their digital and AI competencies. Statistical analyses revealed no significant differences in AI skills between genders (P = 0.062–0.806), no significant effect of age on teamwork skills (P = 0.151–0.952), and no significant impact of work experience on digital skills (P = 0.350–0.908). These findings suggest that demographic factors do not substantially influence staff competencies in digital, teamwork, or AI-related skills. Based on these findings, the study recommends targeted training for skill gaps such as cybersecurity and digital task management, the provision of self-learning resources for technology troubleshooting, promotion of accurate and effective AI use, and the design of standardized, accessible training programs for all staff. These measures can enhance organizational readiness for digital transformation and improve overall work efficiency.