Academic Administration Model for Small Schools to Improve the Quality of Educational
Main Article Content
Abstract
The purposes of this research were as 3 things are: (1) to study the components of academic administration model for small schools to improve the quality of Educational (2) to create an of the academic administration model for small schools to improve the quality of educational and (3) to evaluate and affirm the of academic administration model for small schools to improve the quality of educational. The mixed research methodology was used in the study. The research instruments were semi-structured interviews, questionnaires and confirmation or certification forms through 5-rating scale questionnaires by IOC; 0.6-1.0 discriminatory power equal to 0.331-0.895 with reliability at 0.988, The data were consisting of school directors, and Academic supervisor in 374 schools. The analyzed by frequency, percentage, mean, standard deviation, and confirmatory factor analysis. The results of this research was found that : (1) the components of academic administration model for small schools to improve the quality of educational commission consist of 23 components and 113 variables. (2) the create an of the academic administration model for small schools to improve the quality, general education department from confirmatory factor analysis (CFA) indicated that the highest value was on 1) Promoting learning 2) Planning strategies to raise student quality 3) Operations 4) Student quality control 5) Participation in academics and 6) Academic management processes. has a chi-square value = 16.389, DF = 16, P-value = .242, GFI = .974, AGFI = .921, and RMSER = .136. This result indicates that the model is consistent with the empirical data. (3) The evaluation and confirmation of the model from consisted of six components which were found appropriate, correct, possible, useful and accordance with conceptual framework and theory.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.