AI Competency Development Guidelines for Educational Management at Rajabhat Ratanakosin Group Universities in Bangkok

Abstract

This research aimed to investigate the characteristics, components, and present guidelines for developing AI competency for educational management at Rajabhat Ratanakosin Group Universities in Bangkok. A mixed-methods research approach was employed, with the research process consisting of four steps: 1) Studying the characteristics through document analysis and in-depth interviews with 12 administrators, 2) Analyzing the components based on surveys from 558 sampled administrators, lecturers, and personnel, obtained through multi-stage random sampling, 3) Verifying the components using data triangulation methodology, and 4) Presenting guidelines for AI competency development through a connoisseurship involving 9 experts, selected purposively. Research instruments included structured interview forms, questionnaires, and focus group discussion guides. Qualitative data were analyzed using descriptive content analysis, while quantitative data were analyzed by exploring components and indicators.

The research findings indicate that: 1) The characteristics of AI competency for educational management at Rajabhat Ratanakosin Group Universities in Bangkok, consisted of 3 aspects: (1) AI literacy, (2) the use of and problem-solving with AI tools, and (3) adaptation to AI changes; 2) the core components of AI competency were: (1) Cognitive domain, (2) Psychomotor domain, and (3) Affective domain. The sub-components were: (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; and 3) the development guidelines included 5 methods: (1) self-directed learning and development, (2) online learning, (3) using case studies, (4) learning through AI, and (5) practical workshops. The development process could be implemented using the ASIMI process.