學習資訊專業學院—資訊教育研究所

Permanent URI for this communityhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/25

資訊教育研究所之碩士班成立於民國80年，博士班成立於民國86年，目前研究生共約160名。本所原屬資訊教育學系，於95學年度起因應系所組織調整，成為獨立研究所，歸屬教育學院。

本所以『資訊科技教育』和『數位學習』兩個專業領域之研究發展與人才培育為宗旨，課程設計分別針對此兩個專業領域規劃必、選修專業科目，提供學生紮實而嚴謹的學術專業知能及個別化之研究訓練。本所教育目標包括：

1、培育資訊科技教育人才；
2、培育數位學習產業人才；
3、培育資訊科技教育與數位學習研究人才。

本所目前六名專任教師，四位教授，二位副教授，在資訊教育領域均具有豐富之教學與研究經驗且均積極從事研究，每年獲科技部補助研究計畫之平均數量與金額在本校名列前茅。另外，本所教師積極參與國內重大資訊教育政策及課程綱要之制定，積極推動國內資訊教育之發展。
 

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1998 - 199912000 - 20052

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Author: search.filters.author.Lin, Shui-ChengHas files: No

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    A New Structural Knowledge Assessment Based on Weighted Concept Maps
    (2002-12-03) Lin, Shui-Cheng; Chen, Gwo-Dong; Sung, Yao-Ting; Chang, Kuo-En
    Concept maps have been widely put to educational uses. Concept maps in the past were limited in their assessment standards. Some only take concept nodes into consideration; other evaluation criteria use concept nodes as the basis, with relation links playing a minor role. To address this problem, this study proposes a new style of concept map, called weighted concept map, which assigns a weight to each proposition in a concept map to represent its importance. This study proposes a new assessment with qualitative comparison founded on a weighted concept map.
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    A new assessment for computer-based concept mapping
    (International Forum of Educational Technology & Society (IFETS), 2005-01-01) Chang, Kuo-En; Sung, Yao-Ting; Chang, Rey-Bin; Lin, Shui-Cheng
    Concept maps are widely used in education, and have been acclaimed for their excellent results. For efficiently using concept maps in education, computer-based concept mapping systems have been developed. However these computer-based concept mapping systems are limited in their assessment algorithms. The assessment takes only concept nodes as the primary basis, with relation links playing only a minor role. To address this problem, this study proposes a new style of concept map, called the weighted concept map, which assigns a weight to each proposition in a concept map to represent its importance. This study proposes a new assessment based on a weighted concept map and diagnosis analysis. Two studies are conducted to evaluate the methods of assessment.
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    屬性化概念圖的模糊評量
    (中華民國科學教育學會, 1998-03-01) 張國恩; 林水成; 潘宏明; 陳世旺; Chang, Kuo-En; Lin, Shui-Cheng; Pan, Hung-Ming; Chen, Sei-Wang
    一張概念圖是由許多命題（propositions）所組成，而每個命題包括兩個概念（concepts）及他們之間的聯結語，因此一張概念圖描述著某一知識內容中概念問的相互連結關係。然而不同的概念與聯結語在一知識主題（knowledge domain）中扮演著不同的角色，其重要性當然會有所不同。因此本文提出一種屬性化概念圖（attributed concept map）的觀念，也就是對概念圖中每一概念及聯結語給予一權值代表其重要性。假設專家或老師已經建構好一張屬性化概念圖，我們稱它為專家概念圖。我們提出一種以模糊集合理論為基礎的評量方式（或稱模糊評量）。將學生建構的概念圖與專家概念圖比對，來評估學生對某一知識主題的了解程度。實驗顯示以屬性化概念圖為主的模糊評量在合理性、穩定性上均有顯著的改進，結果也顯示此方法是可行的。