The Development of Indicators of the 21st Century Learning for Rajahbat Universities

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อนุวัติ คูณแก้ว
พรรณราย เทียมทัน

Abstract

The purposes of this research were to 1. develop the indicators of the 21st century learning for Rajabhat Universities and 2. perform a confirmatory factor analysis of indicators of the 21st century learning for Rajabhat Universities on hypothesis model with empirical data. The sample consisted of two groups comprised, 12 experts were selected by purposive sampling, 420 teachers in Faculty of Education, Rajabhat Universities comprised, 90 teachers in three northern Rajabhat Universities, 120 teachers in four northeastern Rajabhat Universities, 150 teachers in five central Rajabhat Universities, and 60 teachers in two southern Rajabhat Universities, were selected by stratified random sampling technique. The questionnaires of indicators of the 21st century learning for Rajabhat Universities were used for data collection. (r = 0.98). Data were analyzed by confirmatory factor analysis using LISREL version 8.72.


The results of the research were as following : 1) Regarding the analysis of exploratory factor, it indicated that the 21st century learning composed of 5 factors with 52 indicators namely curriculum development (12 indicators), instructional management (9 indicators), student development (12 indicators), teacher development (11 indicators), and administration and management (8 indicators). 2) The results of confirmatory factor analysis of model in the indicators of the 21st century learning for Rajabhat Universities were found that 52 indicators, each indicators were positive and at statistical significance level of .01. Arranged 5 factors from the highest factor loading value to the lowest, they were from 0.86 to 0.97 respectively: instructional management, student development, teacher development, curriculum development, administration and management which the factors were 0.97, 0.97, 0.93, 0.92 and 0.86 respectively. The construct validity of models was consistent with empirical data, with chi-square goodness of fit test at 539.11 with 688 degrees of freedom; p-value = 1.00, Goodness of Fit Index (GFI) = 0.95, Adjusted Goodness of Fit Index (AGFI) = 0.90, Standardized Root Mean Square Residual (SRMR) = 0.03, and Root Mean Square Error of Approximation (RMSEA) = 0.00

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