School Administrators’ Role in the New Normal Affecting Innovator Teachers under the Secondary Educational Service Area Office Nong Khai
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Abstract
The objectives of this research were to: 1) study the level of school administrator’s role in the new normal; 2) study the level of innovation among teachers under the secondary educational service area office Nong Khai; and 3) study the school administrators’ role in the new normal affecting innovator teachers under the secondary educational service area office Nong Khai. The study employed a causal research design. The samples consisted of 285 school administrators and teachers selected through the stratified random sampling method. The instrument was a questionnaire about the role of school administrators in the new normal affecting innovator teachers under the secondary educational service area office, Nong Khai. The data were analyzed using mean, standard deviation, Pearson’s product-moment correlation coefficient, and hypothesis testing through stepwise multiple regression analysis.
The results of the research were as follows: 1) the school administrators under the secondary educational service area office in Nong Khai had the highest level of proficiency in their role in the new normal; 2) the teachers under the secondary educational service area office Nong Khai had a high level of innovative teachers, an average at the highest level; and 3) the role of school administrators in the new normal significantly innovative teachers under the Secondary Educational Service Area Office, Nong Khai. This impact included elements: participatory management (X5), followed by the organization of the learning process in the new normal (X1), teacher competency development in the new normal (X4), the creation of a safe learning environment (X3), and leadership in educational technology (X2). The multiple correlation coefficient was 0.886, and the predictive coefficient for innovative teachers was 78.40%, with statistical significance at the 0.05 level. A regression equation could be formulated in both raw and standardized scores as follows:
The Regression Equation of Unstandardized Score:
Y = 0.543 + 0.343(X5) + 0.165(X1) + 0.131(X4) + 0.130(X3) + 0.117(X2)
The Regression Equation of Standardized Score:
Zy = 0.417(ZX5) + 0.170(ZX1) + 0.167(ZX4) + 0.153(ZX3) + 0.132(ZX2)
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