A STUDY OF THE MANAGEMENT SKILLS FOR EDUCATIONAL INSTITUTION ADMINISTRATORS THAT AFFECT TEACHERS’ LEARNING MANAGEMENT SKILLS IN THE 21st CENTURY UNDER THE JURISDICTION OF THE CHIANG RAI PRIMARY EDCATIONAL SERVICE AREA OFFICE, AREA 3

Abstract

The purposes of this research were to 1) study the 21^st century management skills of educational administrators, 2) study the 21^st century learning management skills of teachers in the 21^st century, 3) find the relationship between the 21^st century management skills of educational administrators and the 21^st century learning management skills of teachers, and 4) study the 21^st century management skills of educational administrators that affect the learning management skills of teachers in the 21^st century. The samples in this research were 331 educational administrators and teachers in schools under the Office of the Chiang Rai Primary Educational Service Area 3, academic year 2024. The sample size was determined by using Taro Yamane's formula and stratified random sampling. The instrument used was a 5-level rating scale questionnaire with the error code 0.01. The statistics used for data analysis included frequency distribution, percentage, mean, standard deviation, and correlation analysis.

          The research results were found as follows: 1) the 21^st century management skills of school administrators under the Office of the Primary Educational Service Area, Chiang Rai Area 3 were at a high level overall. 2) the 21^st century learning management skills of teachers under the Office of the Primary Educational Service Area, Chiang Rai Area 3 were at a high level overall. 3) the 21^st century management skills of school administrators were positively related to the 21^st century learning management skills of teachers at a fairly moderate level. Statistically significant at the .01 level and 4) the 21^st century management skills of educational administrators can predict the 21^st century learning management skills of teachers by 52.00 percent with statistical significance at the .05 level. The prediction equation in the form of raw scores is Ŷ = 0.038 + 0.004 X₅ 0.007 X₁ + 0.004 X₆ + 0.004 X₄ + 0.004 X₂. The standard score form is Ẑ = 0.167 ZX₅ + 0.237 ZX₁ + + 0.163 ZX₆ + 0.139 ZX₄ + 0.139 ZX₂.