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

ผู้แต่ง

  • Sopana Sudsomboon Sukhothai Thammathirat Open University

บทคัดย่อ

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, 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 selected through simple random sampling that were1,062 school administrators and teachers. The research instrument was a questionnaire dealing with enhancement of learning ecosystems, with a reliability coefficient of 0.99. Data analysis involved frequency, percentage, mean, standard deviation, ANOVA, and LSD test.

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.

The findings suggest that educational policies should prioritize geographically differentiated support rather than school size when promoting AI-enabled learning ecosystems. Greater investment in digital infrastructure, teacher capacity development, and cross-sector partnerships is particularly needed in geographically disadvantaged areas to reduce educational disparities and strengthen equitable AI-supported instructional management  

Keywords:  Learning ecosystem, Instructional Management, Era of artificial intelligence, Primary education, Highlands of Thailand

เอกสารอ้างอิง

Thai Journal of Education, 18(3), 64–69.

Jujaroen, A. (2019). Learning-friendly models and environments. Naresuan University Journal of Education, 21(2), 45–56.

Maneehaed, S., & Wannapirun, P. (2019). A digital learning ecosystem with artificial intelligence for smart learning. Journal of Education and Innovation, 12(1), 1–10.

Ministry of Higher Education, Science, Research and Innovation. (2023). National artificial intelligence strategy report 2023. https://ai.in.th

Nguyen, A., Smith, B., & Lee, C. (2023). Title of the article in sentence case. Journal Name in Title Case, Volume(Issue), page–page. https://doi.org/xxxx

Nipaporn, K., Jiraporn, W., & Saruta, K. (2023). Factors influencing the development of learning ecosystems in border schools: A case study of the Thai-Myanmar border. Chiang Mai University Journal of Education, 27(1), 77–91.

Office of the Education Council. (2023). A study report on the development of a learning ecosystem model that supports the potential development of Thai people 4.0. https://fliphtml5.com/asdiq/mkua/FlipHTML5

Panajumnong, A., Suebnusorn, W., & Buasuwan, P. (2023). Guidelines for developing learning ecosystems in the Triam Udom Suksa Phatthana Kan School Network based on students’ skill concepts for Society 5.0. Educational Review Journal, 38(2), 1–20.

Phakdeepong, W., Meteeworachart, A., & Thongman, W. (2023). Guidelines for academic administration in digital-era schools based on the Seven Noble Qualities (Sappurisa-dhamma) of schools under the Kamphaeng Phet Secondary Educational Service Area Office. Journal of Academic Research, 23(1), 1–15.

Prachunban, P., Prachunban, N., & Muangkaew, Y. (2024). Development of digital learning ecosystem indicators for basic education institutions. Journal of Social Research and Development, 19(2), 45–64.

Punyavee, J. (2024). Development of learning innovation in Thai-Myanmar border schools: A case study of primary schools in special areas. Journal of Area-Based Development Research, 5(1), 101–117.

Ratchthapak, T. (2023). The relationship between community context and fostering learning ecosystems in digital-age schools. Journal of Educational Development Research, 18(2), 65–79.

Sawaddee, A., Hasin, S., & Sooknanchana, K. (2023). Guidelines for organizing internal learning ecosystems in schools to support active learning. Burapha Journal of Education, 17(2), 1–15.

Songpayom, Y. (2024). Strategies for educational administration in the new normal era. Journal of Educational Innovation and Research, 8(3), 1472–1488.

Srithong, S., & Chueacharoen, R. (2023). A comparison of teachers’ readiness for digital learning management in urban and rural schools. Journal of Educational Innovation and Information Technology, 16(1), 72–85.

Suebsai, S. (2021). Guidelines for developing the educational potential and opportunities of youth in highland areas of Tak Province. Journal of Educational Policy and Administration, 16(1), 1–15.

Sunee, S., Wipha, P., & Kittichai, C. (2023). Differences in the development of school learning ecosystems based on geographic location: A case study of schools in Northern Thailand. Journal of Educational Technology and Management, 3(2), 50–68.

Supaporn, J. (2024). International organizations’ support for educational development in Thailand’s border areas. Journal of Local Development Research, 9(1), 45–59.

เผยแพร่แล้ว

2026-08-11

รูปแบบการอ้างอิง

Sudsomboon, S. (2026). 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. ONESQA International Journal of Education Quality and Innovation, 2(1). สืบค้น จาก https://so16.tci-thaijo.org/index.php/onesqa/article/view/3764

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Research Article