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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/10193


    Title: 透過即時通訊代理人的輔助對學習社群的社群認同及學習成效影響之探討;Exploring effect of community identification and learning effect of learning community through using instant messaging agent.
    Authors: 簡孝任;Shiau-Ren Jian
    Contributors: 網路學習科技研究所
    Keywords: 社群認同;社會臨場感理論;即時通訊;科技接受模式;technology acceptance model;instant messaging;community identification;social presence
    Date: 2007-06-14
    Issue Date: 2009-09-22 12:08:41 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 隨著網路科技的不斷進步,數位學習(e-Learning)已經成為各國資訊教育及企業員工訓練的重點項目。而利用即時通訊(Instant Messaging)來輔助數位學習及企業工作場合,也成為了現在和未來的一種趨勢。即時通訊所達成的關鍵多數(Critical Mass)以及其本身即時、快速、有效、低成本的特性已經成功地應用到各種數位學習及企業工作場合。許多人未曾想像過,現在世界偉大的Google搜尋引擎幫我們找到大量有效的資料,但是確未曾想過是否可以利用即時通訊清單上「人」的特性,而讓系統或是搜尋引擎幫我們找到的是有效的「人」而非「資料」!由我們所自行開發的即時通訊代理人(MSN Agent) 可以提供使用者最快最即時的課堂資料、最新討論區串留言及系統推薦專家,並主動或被動的傳送資料給使用者,讓使用者可以籍由即時通訊的力量,以最快的速度得到新知並且在線上即時解決問題。科技接受模式TAM(Technology Acceptance Model) 指出科技產品的易用性及有用性將成為使用者接受此科技的關鍵因素,本研究利用科技接受模式來量測使用者對於我們開發的即時通訊代理人的觀感,並且延伸科技接受模式進一步地探討透過即時通訊代理人的輔助,是否會對學習社群的社群認同及學習成效產生影響。 When technology of Internet grew rapidly, e-Learning became the main focus of education and workplace in every country. Using Instant Messaging to support e-Learning and working environment become a trend in the present and the future. The instant messaging which has features of instantaneity, quickness, effectiveness and low cost has been successfully used in e-Learning and workplace. Google search engine can help us to find large data effectively but it can’t find any online people or expert to help us to solve our problem. We thought this is a good idea. Therefore, we design a MSN agent. It can recommend online expert to help us to solve problem immediately. It can find the “Human” rather than “Data”. We use our MSN agent which can provide the instant information about course, latest messages of discussion board and online expert to solve problem on experiment. Technology Acceptance Model indicates that usefulness and easy of use are the key factor on acceptance of user. Our study uses TAM to evaluate user’s impression on MSN agent. Our study explores whether MSN agent can increase user’s community identification and learning of user and user can accept this technology for learning.
    Appears in Collections:[Graduate Institute of Network Learning Technology] Electronic Thesis & Dissertation

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