AI Competency Development Guidelines for Building High-Performance Educational Organizations in Bangkok’s Higher Education Institutions

Abstract

The objectives of this research were to study the characteristics and components and to identify guidelines for developing AI competencies to establish high-performance organizations for educational management in higher education institutions within the Bangkok metropolitan area. The study was conducted through document analysis and empirical data, including in-depth interviews with 12 successful administrators. The findings were developed into a Likert-scale questionnaire based on four AI competency frameworks: 1) AI Literacy, 2) AI Usage, 3) AI Problem Solving, and 4) AI Adaptation. Data were subsequently collected from 598 administrators and personnel in higher education institutions in Bangkok using a mixed-methods research design, exploratory factor analysis, data triangulation, and expert group discussions to validate the proposed guidelines. The results revealed that the guidelines for AI competency development consisted of three primary domains: 1) Cognitive, 2) Psychomotor, and 3) Affective. These domains encompass seven sub-components: (1) Computer and AI Fundamentals, (2) AI Access, (3) AI Usage, (4) AI Media Production and Creation, (5) AI Communication, (6) AI Media Management, and (7) AI Evaluation. Furthermore, five methods for AI competency development were identified: (1) Self-directed Learning and Development, (2) Online Learning, (3) Case Study Application, (4) AI-Assisted Learning, and (5) Practical Training Workshops. The findings provide actionable insights for administrators to establish policies or frameworks for AI professional development, fostering high-performance educational management and a pathway to academic excellence.