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研究生: 林于郁
Lin, Yu-Yu
論文名稱: 校長科技領導、教師專業發展、教師自我效能與科技融入教學之關係研究—後設分析取向結構方程模式之應用
The Relationships among Principals' Technology Leadership, Teachers' Professional Development, Teachers' Self-Efficacy, and Technology Intergation—An Application of Meta-analytic Structural Equation Modeling
指導教授: 吳政達
Wu, Cheng-ta
郭昭佑
Guo, Chao-Yu
口試委員: 林劭仁
Lin, Shaw-Ren
閻自安
Yen, Tzu-An
莊俊儒
Chuang, Chun-Ju
學位類別: 博士
Doctor
系所名稱: 教育學院 - 教育學系
Department of Education
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 183
中文關鍵詞: 校長科技領導教師專業發展教師自我效能科技融入教學傳統成對啟發式後設分析取向結構方程模式平行中介
外文關鍵詞: Principals' Technology Leadership, Teacher Professional Development, Teacher Self-Efficacy, Technology Integration in Teaching, Traditional/Heuristic Pairwise Meta-analytic Structural Equation Modeling (Pairwise MASEM), Parallel Mediation
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  • 本研究旨在探討校長科技領導、教師專業發展、教師自我效能與科技融入教學之關係,並檢證教師專業發展與教師自我效能在校長科技領導與科技融入教學關係中之平行中介效果及其差異。本研究採傳統成對啟發式後設分析取向結構方程模式(Traditional/Heuristic Pairwise MASEM);先以成對後設分析(pairwise meta-analysis)整合經系統性篩選之 24 篇國外期刊文獻(累計樣本 14,110 人),計算變項間之合併效果量並經樣本數加權建構合併相關矩陣,再以SEM軟體進行路徑分析檢驗變項間之直接效果,並以蒙地卡羅模擬法(5,000次)檢驗平行中介效果。研究結果如下:一、四變項兩兩均呈正向顯著相關(r = .361至.587),以校長科技領導與教師專業發展間相關係數最高;二、五條結構路徑均達正向顯著影響(β = .191至.656),以校長科技領導對教師專業發展最強(β = .656,R² = .431);三、兩條平行中介路徑均達顯著(間接效果分別為 .190與.087,總中介效果 .276),因直接效果亦顯著(β = .191),屬部分中介,中介效果占總效果( .467)之59.1%;四、兩條路徑差異達顯著( .103,95% CI [.036, .164]),教師專業發展之中介效果約為教師自我效能之兩倍,為關鍵傳遞橋樑。建議學校以校長科技領導為起點,優先充實系統化之教師專業發展,並同步培養教師之科技特定效能;未來研究可擴大文獻來源、檢定出版偏誤與調節效果,並嘗試一階段(one-stage)MASEM或其他可同時處理效果量相依性之多變項整合分析取向,以檢核結論之穩健性。


    This study examined the relationships among principals' technology leadership, teacher professional development, teacher self-efficacy, and technology integration in teaching, and tested the parallel mediating effects of the latter two variables and their difference. A traditional (heuristic) pairwise meta-analytic structural equation modeling (pairwise MASEM) approach was employed. Twenty-four systematically screened international journal articles (N = 14,110) were first synthesized pairwise to obtain pooled effect sizes and to construct a sample-size-weighted pooled correlation matrix, which was then submitted to SEM-based path analysis to examine direct effects; Monte Carlo simulation (5,000 replications) tested mediating effects. First, all pairwise correlations were positive and significant (r = .361 to .587), with leadership and professional development most strongly associated. Second, all five structural paths were significantly positive (β = .191 to .656), the strongest being leadership on professional development (β = .656, R² = .431). Third, both parallel mediating paths were significant (indirect effects = .190 and .087; total mediated effect = .276); as the direct effect also remained significant (β = .191), the model exhibited partial mediation, with the mediated effect accounting for 59.1% of the total effect (.467). Fourth, the two paths differed significantly (difference = .103, 95% CI [.036, .164]): the mediating effect of professional development was approximately twice that of self-efficacy, constituting the key transmitting mechanism. Schools should treat principals' technology leadership as the starting point, prioritize systematic teacher professional development, and cultivate technology-specific self-efficacy. Future research may broaden literature sources, test publication bias and moderators, and adopt one-stage MASEM or other multivariate synthesis techniques that accommodate dependency among effect sizes to assess robustness.

    第一章 緒論 1
    第一節 研究動機與目的 1
    第二節 研究問題 4
    第三節 名詞釋義 5
    第四節 研究方法與步驟 7
    第五節 研究範圍與限制 9
    第二章 文獻探討 15
    第一節 校長科技領導之意涵、理論與相關研究 15
    第二節 教師專業發展之意涵、理論與相關研究 28
    第三節 教師自我效能之意涵、理論與相關研究 41
    第四節 科技融入教學之意涵、理論與相關研究 52
    第五節 校長科技領導、教師專業發展、教師自我效能與科技融入教學之相關研究 64
    第三章 研究設計與實施 77
    第一節 研究架構與假設 77
    第二節 研究資料 80
    第三節 實施程序 82
    第四節 資料處理 84
    第五節 統計方法分析 84
    第四章 研究結果與討論 99
    第一節 研究樣本現況分析 99
    第二節 校長科技領導、教師專業發展、教師自我效能與科技融入教學之關聯性分析 103
    第三節 校長科技領導、教師專業發展、教師自我效能與科技融入教學之路徑分析 116
    第四節 綜合討論 127
    第五章 結論與建議 133
    第一節 研究結論 133
    第二節 研究建議 138
    參考文獻 145
    附錄 資料庫檢索摘要 181

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