Search

This research employed a mixed-methods approach to explore the best practices of ordinary national educational testing (O-NET) to improve the quality of basic education. The methodology was divided into four phases, the first of which was a survey and analysis of the current situation at ONET. The sample group was made up of representatives of the school under the office of the basic education commission (OBEC), primary education, comprising the school administrators and teachers teaching in four subjects. Phase 2, "multiple case study," is qualitative research by selecting specific case studies for 10 primary schools based on criteria for selection and collecting data through in-depth interviews. A semi-structured interview form was completed by 30 key informants. Phase 3, the synthesis (draft) of best practices, and phase 4, the checking and proposing of best practices by 25 assessors. The results showed the best practices in using the test results of O-NET to improve the quality of basic education were 4 components: i) school management (16 practice guidelines); ii) learning management (10 practice guidelines); iii) student promotion (6 practice guidelines); and iv) parent communications (3 practice guidelines). The best practices were in accuracy, propriety, feasibility, and utilization; all were at the highest level.

The purposes of this research were 1) to development an efficacy ability measurement model of tpack framework knowledge integration of pre-service at Surin rajabhat university by third order comfirmatory factor analysis, 2) to examine a validity of efficacy measurement model of tpack framework knowledge integration of pre-service of Surin rajabhat university by third order comfirmatory factor analysis. The samples were 560 pre-service students of Surin rajabhat university. The research instrument was a questionnaire which was used to evaluate of ability of tpack framework knowledge integration, that consisted of 7 factors and 35 items. Techniques for analyzing data methods were validity discriminant and reliability by Cronbach’s Alpha Coefficient and standard statistical analysis to test hypothesis confirmatory factor analysis. The result was as follows:- 1) The efficacy measurement model of of tpack framework knowledge integration of pre-serviceat Surin rajabhat university consisted of 7 latent variables and 35 observed variables. 2) A model was consistent with the empirical consideration and the goodness of fit indices were within the specified criteria. The third order confirmatory factor analysis was X2 =14.377 df = 8 X2 /df = 1.797 P-value = 0.072 RMSEA = 0.038 CFI = 0.998 TLI = 0.996