Assessing Essential Needs for Developing AI Competencies Among Local Administrative Personnel Toward Smart Local Communities in Maha Sarakham Province

Abstract

This research consists purposes were 1. to examine the level of artificial intelligence (AI) competencies among personnel in local administrative organizations in Maha Sarakham Province 2. to identify the essential needs for AI competency development among such personnel and 3.to propose strategies for enhancing AI competencies to advance local administration toward the concrete realization of smart localities. Methods A questionnaire (30 items; knowledge, skills, attitudes; five‑point scale) underwent expert review (IOC 0.80–1.00) and reliability testing (Cronbach’s alpha [confirm value]). Respondents were LAO personnel selected via probability sampling (sample size: AUTHOR CONFIRM – 82 or 360). Data were analyzed using descriptive statistics and the Modified Priority Needs Index (PNI_modified). Results: Current competencies were at a moderate level across dimensions, while desired levels were at the highest level. The greatest need concerned practical AI skills (PNI_modified = 0.43), followed by knowledge (0.40) and attitudes (0.32). Conclusions: Practical skill development should be prioritized alongside foundational AI knowledge and attitude-building to support the realization of smart local communities.