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The purposes of this research were 1) to analyze the educational provision quality scores at graduate level of Rajabhat universities by programs and to analyze the guideline for improving no quality programs at graduate level of Rajabhat universities using Data Envelopment Analysis (DEA) and 2) to analyze 2 level variables (micro level and macro level) that affected to the educational provision quality at graduate level of Rajabhat universities using multi-level analysis. The DEA and multi-level analysis collected by questionnaires from 1,608 of 5 groups of stakeholders (administrators, faculty members, students, alumni and employers). The estimated educational provision quality scores of 27 programs ranged from 45.52–100.00%. The numbers of educational provision quality programs were 11, 9, 10, 9 and 7 evaluating from administrators, faculty members, students, alumni and employers. Of those improving no quality programs, they were increased outputs/outcomes; percentage of a student who graduates within period of time, numbers of published of faculty members’ researches, numbers of alumni award, numbers of utilization of faculty members’ researches and value-added of students in order to enhance their performance to increase their quality. The result of multi-level analysis indicated that factors explaining the quality of programs were numbers of university campus, administrator academic leadership and Office of the Higher Education Commission monitoring

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Engaged learning in reading research articles is essential for graduate students because they need to do research. Most of research on engaged learning has focused on students' concentration on learning. In this study, we focused on engaged learning in reading research articles. The aim of this research was to verify the quality of the developed engaged learning in reading research articles measure. One hundred Chulalongkorn University graduate students completed the developed engaged learning in reading research articles measure. The measure consisted of 24 items. Data were analyzed by confirmatory factor analysis. Results showed that the newly developed measure appeared to be valid and reliable.

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