Administrative factors affecting the excellence of academic in small schools, Phra Nakhon Si Ayutthaya Secondary Educational Service Area Office

Abstract

The objectives of the research aimed to study (1) the level of administrative factors, (2) the level of academic excellence, (3) the administration, and (4) the development of predictive equations for administrative factors that influencing academic excellence in small schools of the Secondary Educational Service Area Office, Phra Nakhon Si Ayutthaya. The sample group of this quantitative research consisted of 103 administrators of educational institutions and teachers in small schools of the Secondary Educational Service Area Office, Phra Nakhon Si Ayutthaya using stratified sampling and schools as a random unit. The research instrument was a questionnaire. The data were analyzed by using percentage, average, standard deviation, Pearson’s correlation coefficient, and regression coefficient. 

The results found that (1) the overall image of the level of administrative factors that influencing academic excellence in small schools of the Secondary Educational Service Area Office, Phra Nakhon Si Ayutthaya was high. Considering each aspect, the researcher found that the highest average was teacher factors, whereas the factors in educational media and technology was the lowest. (2) According to the level of academic excellence, the overall image was high in which the highest average was teacher’s education management, whereas the was contribution schools the lowest. (3) The administrative factors that influencing academic excellence were positively associated that the correlation coefficient was between 0.61 - 0.80 indicating a rather strong association with statistical significance at .01 level. Lastly, (4) the administrative factors that influencing academic excellence in small schools of the Secondary Educational Service Area Office, Phra Nakhon Si Ayutthaya were factors in educational media and technology, budget factors, parental and community factors, and teachers and educational personnel factors with statistical significance at .05 level and the predictive power of 86.5 percent.