DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE-BASED INNOVATION MANAGEMENT MODEL FOR SCHOOL ADMINISTRATORS TO ENHANCE STUDENTS' INNOVATOR COMPETENCIES UNDER NONG KHAI PRIMARY EDUCATIONAL SERVICE AREA OFFICE 1
Keywords:
Innovation Management, Artificial Intelligence, AI Leadership, Innovator Competency, School AdministrationAbstract
This research aimed to 1) investigate the current conditions, desirable conditions, and priority needs of artificial intelligence-based innovation management for school administrators, 2) develop an artificial intelligence-based innovation management model to enhance students’ innovator competencies, and 3) evaluate the quality of the developed model. The research employed a Research and Development (R&D) approach using mixed methods research. The sample consisted of 317 teachers and educational personnel under Nong Khai Primary Educational Service Area Office 1, and 9 experts participated as key informants. The research instruments included an interview form, questionnaire, and model evaluation form, with a reliability coefficient of 0.98. Data were analyzed using mean, standard deviation, Modified Priority Needs Index (PNI_modified), factor analysis, and content analysis.
The findings revealed that: 1) the current condition of AI-based innovation management was at a moderate level (x̄ = 3.41, S.D. = 0.52), while the desirable condition was at the highest level (x̄ = 4.73, S.D. = 0.31). The highest priority need was AI leadership. 2) The developed model consisted of seven components: AI Leadership, Innovation Management, Data-driven Management, AI Professional Development, Innovative Learning Ecosystem, Network Collaboration, and AI Evaluation and Ethics. These components explained 74.86% of the total variance. 3) The model quality evaluation results were at the highest level (x̄ = 4.85, S.D. = 0.19). In addition, students’ innovator competencies after implementing the model were significantly higher than before implementation at the .05 significance level (t = 14.36, p < .001). The findings indicate that the developed model can be effectively applied as a framework for AI-driven school management and enhancing students’ innovator competencies.
References
กระทรวงศึกษาธิการ. (2560). แผนการศึกษาแห่งชาติ พ.ศ. 2560–2579. กรุงเทพฯ: สำนักงานเลขาธิการสภาการศึกษา.
ภิญญาพัชญ์ ทำทาน และคณะ. (2569). ภาวะผู้นำของผู้บริหารสถานศึกษาในยุคปัญญาประดิษฐ์. วารสารการบริหารการศึกษาและภาวะผู้นำ, 14(1), 1–15.
สำนักงานเขตพื้นที่การศึกษาประถมศึกษาหนองคาย เขต 1. (2568). รายงานข้อมูลสารสนเทศทางการศึกษา ปีงบประมาณ พ.ศ. 2568. หนองคาย: สำนักงานเขตพื้นที่การศึกษาประถมศึกษาหนองคาย เขต 1.
สำนักงานเลขาธิการสภาการศึกษา. (2560). แผนการศึกษาแห่งชาติ พ.ศ. 2560–2579. กรุงเทพฯ: พริกหวานกราฟฟิค.
สำนักงานสภาพัฒนาการเศรษฐกิจและสังคมแห่งชาติ. (2561). ยุทธศาสตร์ชาติ พ.ศ. 2561–2580. กรุงเทพฯ: สำนักงานสภาพัฒนาการเศรษฐกิจและสังคมแห่งชาติ.
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K–12 settings. AI and Ethics, 2, 431–440. https://doi.org/10.1007/s43681-021-00096-7
Adair, J. (1996). Effective innovation: How to stay ahead of the competition. London: Pan Books.
Bijou, S. (2025). Developing innovator competencies among learners in the digital era: Creativity, experimentation, and problem-solving approaches. Journal of Educational Innovation Research, 9(1), 45–60.
Brown, T. (2009). Change by design: How design thinking creates new alternatives for business and society. New York, NY: Harper Business.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28, 689–707. https://doi.org/10.1007/s11023-018-9482-5
Goffin, K. (2016). Innovation management: Effective strategy and implementation. London: Palgrave Macmillan.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Boston, MA: Center for Curriculum Redesign.
Ivancevich, J. M., Konopaske, R., & Matteson, M. T. (1989). Organizational behavior and management. New York, NY: McGraw-Hill.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1, 389–399. https://doi.org/10.1038/s42256-019-0088-2
Kamalov, F., Calonge, D. S., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability, 15(16), 12488. https://doi.org/10.3390/su151612488
Kane, G. C., Phillips, A. N., Copulsky, J., & Andrus, G. R. (2019). The technology fallacy: How people are the real key to digital transformation. Cambridge, MA: MIT Press.
Kotter, J. P. (2012). Leading change. Boston, MA: Harvard Business Review Press.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60–68.
OECD. (2019). OECD future of education and skills 2030: OECD learning compass 2030. Paris: Organisation for Economic Co-operation and Development.
Tidd, J., & Bessant, J. (2021). Managing innovation: Integrating technological, market and organizational change. (7th ed.). Hoboken, NJ: Wiley.
Tripp, S. D., & Bichelmeyer, B. (1990). Rapid prototyping: An alternative instructional design strategy. Educational Technology Research and Development, 38(1), 31–44. https://doi.org/10.1007/BF02298246
UNESCO. (2021). AI and education: Guidance for policy-makers. Paris: United Nations Educational, Scientific and Cultural Organization.
World Economic Forum. (2023). The future of jobs report 2023. Geneva: World Economic Forum.
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