Guidelines for Utilizing Artificial Intelligence Technology in Educational Administration Under the Chachoengsao Primary Educational Service Area Office 1

Abstract

This research aims to study the current state and needs of artificial intelligence (AI) technology utilization in school administration, and to explore guidelines for implementing AI in school management and learning processes. The sample group consisted of 310 teachers under the jurisdiction of the Chachoengsao Primary Educational Service Area Office 1. Data was collected through online questionnaires and analyzed using descriptive statistics. The findings revealed that 80% of respondents agreed that AI could help reduce administrative workloads and enhance school management efficiency. Meanwhile, 70% had some prior experience using AI for tasks such as document preparation or project design. However, 20% had never used AI due to a lack of understanding or uncertainty about its applicability to their work. Additionally, respondents identified key domains for AI integration, including class scheduling, student assessment, and administrative automation. Proposed guidelines for AI integration in schools include: (1) implementing AI-driven student data management systems, (2) analyzing academic performance and student behavior, (3) monitoring learning progress, (4) utilizing AI for personnel evaluation, and (5) developing adaptive learning materials tailored to individual student needs. To ensure effective AI adoption, the study recommends teacher training programs, infrastructure development, and the establishment of short-term, medium-term, and long-term implementation plans supported by clear policy frameworks. This study demonstrates AI's significant potential to enhance school administration and teaching practices. However, successful implementation depends on personnel readiness, technological infrastructure, and support from relevant agencies. Systematic AI integration can substantially improve educational efficiency and outcomes.