Enhancing Learning Ecosystems to Improve Instructional Management in the Era of Artificial Intelligence in Primary Schools under the Office of the Basic Education Commission  in the Highland Areas of Thailand

Sopana Sudsomboon

Authors

Sopana Sudsomboon Sukhothai Thammathirat Open University

Abstract

The research titled Enhancing Learning Ecosystems to Improve Instructional Management in the Era of Artificial Intelligence in Primary Schools under the Office of the Basic Education Commission in the Highland Areas of Thailand aimed to: (1) examine the level of enhancement of learning ecosystems to improve instructional management in the AI era in primary schools under the Office of the Basic Education Commission in the highland regions of Thailand, and (2) compare the enhancement of learning ecosystems for instructional improvement in the AI era across schools categorized by size and geographic location. The sample comprised 354 primary schools under the Office of the Basic Education Commission located in the highland areas of Thailand. The sample size was determined using Yamane’s formula, with three respondents per school, totaling 1,062 participants. A simple random sampling method was employed. The research instrument was a questionnaire assessing the level of enhancement of learning ecosystems, with a reliability coefficient of 0.99. Data analysis involved frequency, percentage, mean, standard deviation, one-way analysis of variance (ANOVA), and post-hoc comparison using the Least Significant Difference (LSD) method

The research findings revealed that: (1) the overall level of enhancement of the learning ecosystem to improve instructional management in the era of artificial intelligence in primary schools, including all specific dimensions, was at a high level; and (2) there were no statistically significant differences in the enhancement of learning ecosystems based on school size. However, statistically significant differences at the 0.05 level were found among schools located in different geographic areas.

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