Abstract

This research aimed 1) to study the components and indicators for enhancing active learning management performance of teachers in educational opportunity expansion schools, and 2) to examine the congruence of the model of components and indicators for enhancing active learning management performance of teachers in educational opportunity expansion schools. The sample consisted of 440 academic heads of educational opportunity expansion schools under the Office of the Basic Education Commission in the Northeastern region. The researchers determined the sample size based on a 20:1 ratio of the number of parameters and employed a multi-stage random sampling technique. The research instrument was a questionnaire designed to develop the components and indicators for enhancing active learning management performance of teachers in educational opportunity expansion schools. It had an Index of Item-Objective Congruence (IOC) between 0.80–1.00, discriminant power using Pearson Product Moment Correlation between 0.549–0.896, and a Cronbach’s alpha coefficient (α) for the entire questionnaire of 0.992. The data were analyzed using Confirmatory Factor Analysis (CFA).

The research findings revealed that: 1. The development of components and indicators for enhancing active learning management performance of teachers in educational opportunity expansion schools, based on a synthesis of relevant documents and research, comprised 4 components: 1) Activity Design and Learning Plan Development, 2) Instructional Management, 3) Measurement and Evaluation, and 4) Media and Instructional Media Development, with a total of 22 indicators. 2. The examination of the congruence of the model of components and indicators for enhancing active learning management performance of teachers in educational opportunity expansion schools with empirical data found that the chi-square (χ²)was 190.857, degrees of freedom (df) were 163, Chi-square correlation coefficient (χ²/df) ratio was 1.1709, p-value was 0.066, TLI was 0.991, CFI was 0.994, SRMR was 0.041, and RMSEA was 0.020. This indicates that the instrument can be used for evaluation.

This work is licensed under a Creative Commons Attribution 4.0 License.