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    Title: 學校層級資料導向決策系統資料內容之研究 : 臺北市國民小學校長之意見調查
    Other Titles: A study on the content of data-driven decision making system on school level : a survey of Taipei elementary school principals' opinions
    Authors: 林其賢;Lin, Chi-shen
    Contributors: 淡江大學教育科技學系碩士在職專班
    高熏芳;Kao, Hsun-fung
    Keywords: 資料導向決策;校長領導;校長決策;學校改進;Data-Driver Decision Making;Principal Leadership;School Improvement
    Date: 2009
    Issue Date: 2010-01-11 00:31:41 (UTC+8)
    Abstract: 本研究旨在探討國民小學校長發展資料導向決策系統所需資料內涵之意見,以做為建構國民小學校長資料導向決策系統之參考。本研究之對象為臺北市公私立國民小學校長,共計12個行政區,157所學校校長,以自編之問卷進行普查,回收有效問卷127份,運用SPSS 10.0中文版作為資料分析工具,採單因子變異數分析及獨立樣本 t 檢定、薛費法及皮爾遜積差相關法等,進行問卷統計分析。本研究發展之系統資料內容及細項包含:「學校方案資料」、「觀點見解資料」、「校內資源分配」、「學生學習資料」、「社會資源分配」、「教師基本資料」、「人口統計資料」等七大構面及72細項。
    本研究歸納下列結論:
    ㄧ、學校層級資料導向決策系統內容包含7個構面,72項細項,
    各構面中以學校方案資料、觀點見解資料、校內資源分配三
    項重要程度最高。
    二、學校層級資料導向決策系統內容各構面中以學校方案資料、
    觀點見解資料、校內資源分配三項適用程度最高。
    三、任職不同學校規模、主任經歷之臺北市國民小學校長運用資
    料導向決策之整體重要程度之知覺上呈現顯著差異。
    四、不同背景變項在臺北市國民小學校長運用資料導向決策之適
    用程度知覺上無顯著差異。
    五、資料導向決策系統各資料構面之重要程度與適用程度呈現高
    度之正相關。
    六、資料導向決策系統各資料構面之重要程度與適用程度呈現顯
    著之正向差距。
    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.
    Appears in Collections:[教育科技學系暨研究所] 學位論文

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