Application of Artificial Intelligence in Instructional Management for Basic Education Institutions
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Abstract
This academic article aims to analyze the application of artificial intelligence (AI) in teaching management in basic education institutions and synthesize an integrated conceptual framework to guide the systematic implementation of AI in the Thai context. This research is a documentary study, reviewing relevant domestic and international literature from 2020 to 2025, and analyzing case studies from five leading countries in AI education: Finland, Singapore, South Korea, China, and Thailand. The analysis reveals that the success of AI applications abroad is due to three key contributing factors: (1) a clear and consistent national policy framework (Consistent Policy Alignment), (2) a robust data infrastructure, and (3) systematic capacity building. Meanwhile, Thailand faces challenges from the Policy–Practice Gap, a lack of a connected data infrastructure, and limitations in AI literacy among educational personnel. This article presents new knowledge in the form of an Integrated AI-Based Instructional Management Model. It consists of four main components: (1) Governance & Policy; (2) Technology & Infrastructure; (3) Process & Pedagogy; and (4) Human Capacity & Culture.
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