| Summary: | 碩士 === 淡江大學 === 教育科技學系碩士在職專班 === 97 === The purpose of this research is to study the perceptions of elementary school principals toward the content of data-driven decision making system. The subjects of this study are principals of public and private elementary schools in Taipei City, total in 157 schools. A self-developed questionnaire was conducted with valid return 127 copies. The SPSS 10.0 Chinese version was applied for data analysis. ANOVA, t test, Scheffe method and Pearson product-moment correlation methods were used to process statistic analysis for questionnaires.
The content of the system included 7 categories: Demographic Data, School Processes Data, Perceptions Data, Student Learning Data, Allocate Resources Data, Teacher Information and Demographic Information.
The research summary is concluded as follows:
1.The ideal data-oriented decision making system at
school level has 7 dimension with 72 items. Each data
dimension and item are all in high degree of importance.
2.Each data dimension and item are all in high degree of a
applicability.
3.There is significant difference in perceptions toward
the importance degree of the content of data-driven
decision making system between school size and years of
experience of principals.
4.There is no significant difference in the degree of
applicability of content of data-driven decision making
system among principals with different background
variances.
5.There is positive correlation between degree of
importance and degree of applicability of each data
dimension of data-driven decision making system.
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