屬性化概念圖的模糊評量 Fuzzy assessment of attributed concept maps

dc.contributor 國立臺灣師範大學資訊教育研究所;國立花蓮師範學院數理教育系 zh_tw
dc.contributor.author 張國恩 zh_tw
dc.contributor.author 林水成 zh_tw
dc.contributor.author 潘宏明 zh_tw
dc.contributor.author 陳世旺 zh_tw
dc.contributor.author Chang, Kuo-En en_US
dc.contributor.author Lin, Shui-Cheng en_US
dc.contributor.author Pan, Hung-Ming en_US
dc.contributor.author Chen, Sei-Wang en_US
dc.date.accessioned 2014-10-30T09:32:08Z
dc.date.available 2014-10-30T09:32:08Z
dc.date.issued 1998-03-01 zh_TW
dc.description.abstract 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。 zh_tw
dc.description.abstract 概念圖;屬性化概念圖;模糊評量 en_US
dc.description.uri javascript:getFile('EJ199803-010044','EJ0101\\1998\\03\\EJ0101-199803-010044.pdf','EJ0101-199803-010044.pdf'); zh_TW
dc.identifier ntnulib_tp_A0904_01_025 zh_TW
dc.identifier.issn 1027-507x zh_TW
dc.identifier.uri http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/34326
dc.language chi zh_TW
dc.publisher 中華民國科學教育學會 zh_tw
dc.relation 科學教育學刊,6(1),81-94。 zh_tw
dc.relation Chinese Journal of Science Education, 6(1), 81-94. en_US
dc.rights.uri http://www.ase-t.org.tw/ zh_TW
dc.subject.other A concept map consists of a collection of notions interconnected to each other that collectively delineate a significant branch of knowledge. The notions and relationships constituting a map play distinct roles during restating the subject portrayed by the map. The notions and relationships are assigned associated weights by experts to indicate their relative degree of importance in the conceptual context. The resulting map is called the expert concept map. During the evaluation of the prototype maps zh_tw
dc.subject.other students were asked to build a map. The maps were compared with the expert concept map using a technique conceptualized in terms of a fuzzy discipline. The maps and techniques were developed and tested against data. The results revealed that approach was feasible. zh_tw
dc.subject.other concept map en_US
dc.subject.other attributed concept map en_US
dc.subject.other fuzzy assessment en_US
dc.title 屬性化概念圖的模糊評量 zh_tw
dc.title Fuzzy assessment of attributed concept maps en_US
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