GUIDELIONES FOR PROMOTING LEARNING MANAGEMENT USING DIGITAL LEARNING PLATFORMS AND ARTIFICIAL INTELLIGENCE IN SCHOOLS UNDER THE LAMPANG PRIMARY EDUCATIONAL SERVICE AREA OFFICE 1

Abstract

The research on the guidelines for driving learning management using digital learning platforms and artificial intelligence in schools under the Lampang Primary Educational Service Area Office 1 aimed to (1) study the current state of driving learning management using digital learning platforms and artificial intelligence in schools and (2) study the guidelines for driving learning management using digital learning platforms and artificial intelligence in schools under the Lampang Primary Educational Service Area Office 1. A mixed-methods research was used. The sample group consisted of 298 administrators and teachers in schools under the Lampang Primary Educational Service Area Office 1, academic year 2025, obtained through stratified random sampling. The research instrument was a questionnaire. Data was analyzed using mean and standard deviation. In the process of studying the guidelines for driving learning management using digital learning platforms and artificial intelligence in schools, the informants were 5 experts in driving learning management using digital learning platforms and artificial intelligence in schools. Data was collected through semi-structured interviews and analyzed using content analysis.

          The research results found that 1) the overall state of driving learning management using digital learning platforms and artificial intelligence in schools was at a high level, and when considered in each aspect, it was found to be at a high level in all aspects, namely, collaborative analysis of the organizational environment, collaborative awareness building, etc. The research identified several approaches to collaborative learning: 1) Collaborative planning, implementation, reinforcement, evaluation, and dissemination and continuous development; and 2) Guidelines for driving learning management using digital learning platforms and artificial intelligence in educational institutions, derived from interviews with experts. These approaches included: collaborative analysis of the organizational environment (4 approaches), collaborative awareness building (3 approaches), collaborative planning (3 approaches), collaborative implementation (4 approaches), collaborative reinforcement (3 approaches), collaborative evaluation (3 approaches), and collaborative dissemination and continuous development (3 approaches). The research findings can be used as data to support planning and determine guidelines for developing learning management using digital learning platforms and artificial intelligence in educational institutions and educational service offices. This aims to improve the quality of learning management to align with changes in the digital age and educational policies at the local and national levels.