研究生: |
蔡麗婷 Li-Ting Tsai |
---|---|
論文名稱: |
資訊組長知識獲得和友誼網路之分析 Analysis of Knowledge Acquiring and Friendship Networks of School Technology Coordinators |
指導教授: |
邱貴發
Chiou, Guey-Fa |
學位類別: |
碩士 Master |
系所名稱: |
資訊教育研究所 Graduate Institute of Information and Computer Education |
論文出版年: | 2008 |
畢業學年度: | 96 |
語文別: | 中文 |
論文頁數: | 100 |
中文關鍵詞: | 社會網路分析 、資訊組長 、知識獲得網路 、友誼網路 |
論文種類: | 學術論文 |
相關次數: | 點閱:197 下載:14 |
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本研究運用社會網路分析方法,分析台北縣國中資訊組長的知識獲得網路和他們之間的友誼網路,本研究分析了台北縣五十八位國中資訊組長,使用UCINET6進行資料分析,研究得到以下的結果:(1)資訊組長之硬體知識獲得網路都較其他知識獲得網路大密集高,顯示資訊組長工作上遇到硬體問題時,有較多資訊組長會給予協助。(2)資訊組長之友誼網路的大小、密度和相互性三者都大於知識獲得網路的大小、密度、相互性,顯示資訊組長在友誼網路中的互動較頻繁,也較緊密。(3)資訊組長在硬體、軟體、網路、採購和數位教材的知識獲得網路與友誼網路的相關性高,顯示資訊組長的友誼與知識獲得兩者有密切關係。(4)資訊組長的年資與知識獲得網路和友誼網路的大小、向內程度中心性、向內接近中心性等面向有顯著的相關。(5)研習次數與知識獲得網路和友誼網路的相關不顯著。未來研究可針對中介者、結構洞進行較細膩的分析。
This thesis analyzed the knowledge acquiring and friendship networks of technology coordinators at junior high schools in Taipei County using social network analysis. Data was collected from fivety-eight technology coordinators at junior high schools in Taipei County. Data were analyzed by UCINET6 software.The following findings were revealed from the social network data. (1) the size and density of hardware knowledge acquiring network are larger than other knowledge acquiring networks. These result indicated that school technology coordinators can get some help when they encounter hardware problems (2) the size, density, and reciprocity of friendship network are larger than those in knowledge acquiring networks. These results indicated that school technology coordinators interact more and tighter in friendship network. (3) the correlation between knowledge acquiring network and friendship network is significant. (4) the seniority (years as coordinators) of school technology coordinators has significant associations with the size, in-degree centrality and out-degree centrality of knowledge acquiring network and friendship network. (5) the frequency of inservice-training has not significant relationship with knowledge acquiring network and friendship network.
Future research might focus on brokages and structural holes to identify key actors and related factors.
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