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題名 | 學習表現的知識結構評量研究:以「教育統計學」學科知識為例=The Assessment of Knowledge Structures of Learning Performance in Educational Statistics |
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作者 | 李敦仁; 余民寧; Lee, Duen R.; Yu, Min-ning; |
期刊 | 教育研究與發展期刊 |
出版日期 | 20071200 |
卷期 | 3:4 2007.12[民96.12] |
頁次 | 頁113-148 |
分類號 | 521.3 |
語文 | chi |
關鍵詞 | 學科知識; 知識結構; 路徑搜尋網路分析; Content knowledge; Knowledge structures; Pathfinder network analysis; |
中文摘要 | 本研究目的,旨在利用路徑搜尋網路分析評量選修相關教育統計學的教育學程學生,對教育統計學概念間所形成的知識結構。具體而言,本研究檢視三項問題:(1)學習穩定型和學習異常型兩組學生與教師的知識結構圖為何?(2)學習穩定型和學習異常型兩組學生的知識結構圖與教師知識結構圖相似程度是否有顯著差異?(3)三種相似性指數對學生的學習表現是否有顯著的預測效果?研究結果發現:(1)兩種不同學習類型的學生對於知識結構不僅有「量」的差異,其概念連結亦呈現「質」不同;(2)三種知識結構指數與學習表現具有顯著的正相關;(3)知識結構指數對學習表現具有顯著的預測效果,以PRX指數最具預測力,其解釋變異量為34.20%。最後,本研究亦針對研究結果提出相關建議,以作為未來研究之參考。 |
英文摘要 | The main purpose of this study is to explore how to use the Pathfinder network analysis to assess knowledge structures in Educational Statistics courses taken by students in teacher training programs. Specifically, this paper examines (1) How to present knowledge structures in stable learning students, abnormal learning students, and experienced teachers? (2) In knowledge structure graphs, are the two types of students similar to experienced teachers? and (3) Do the three proximity indices predict learning performances? Research results are as follows: (1) In knowledge structure graphs and three proximity indices, there is a significant difference between two types of students and experienced teachers. (2) The proximity indices are all significantly positively correlated with learning performance. (3) The PRX index is the best predictor of knowledge structure on learning performance, and could explain 34.20% of the variance. Finally, some implications and suggestions are proposed. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。