NEEDS AND GUIDELINES DEVELOPMENT FOR DIGITAL LEARNING ECOSYSTEMS IN SCHOOL UNDER PHETCHABUN PRIMARY SERVICE AREA OFFICE 2

Abstract

The purpose of this research was to study the needs and guidelines for developing digital learning ecosystems in educational institutions under  Phetchabun Primary Educational Service Area Office 2. The research methodology was divided into two phases: Phase 1 involved assessing the needs for developing digital learning ecosystems in educational institutions. The informants consisted of 302 school administrators and teachers under Phetchabun Primary Educational Service Area Office 2. The data collection instrument was a questionnaire on the needs for developing digital learning ecosystems in schools. Data were analyzed using mean, standard deviation, and needs prioritization. Phase 2 involved studying guidelines for developing digital learning ecosystems in schools. The informants were three experts with experience in digital learning ecosystems, selected through purposive sampling. The data collection instrument was an interview form on guidelines for developing digital learning ecosystems in schools , and data were analyzed using content analysis.

          The findings revealed that: 1) The needs assessment for developing digital learning ecosystems in schools under  Phetchabun Primary Educational Service Area Office 2 showed that the student dimension had the highest needs index, followed by the teacher dimension and the learning management dimension. 2) The guidelines for developing digital learning ecosystems in schools indicated that schools should implement learning management that emphasizes personalized learning using various digital technologies and flexible assessment. For teachers, the focus should be on selecting appropriate technology for learning objectives, developing teacher potential, and integrating technology into teaching. Learning communities should have clear goals and use appropriate digital platforms for communication. Learning resources should be organized for easy access, with AI technology supporting learning management. Learning management should emphasize flexible environments with efficient infrastructure and learning management systems that connect to external learning resources.