教師著作
Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31276
Browse
7 results
Search Results
Item 命題式屬性化概念圖的評量與回饋(2000-11-23) Lin, S. C.; Chang, R. B.; Chen, S. W.; Chang, K. E.Item The effect of learning achievement using computer-supported concept mapping with relation-free or fixed(2000-05-29) Lin, S. C.; Chang, R. B.; Chen, S. W.; Chang, K. E.Item Fuzzy Integration of Attributed Concept Maps(1999-11-04) Lin, S. C.; Chang, K. E.; Pan, H. M.; Chen, S. W.Item Concept mapping system with scaffolding learning(1998-10-14) Sung, T. C.; Chen, S. F.; Lin, S. C.; Chang, K. E.Item Fuzzy integration of attributed concept maps(1998-01-01) Chang, K. E.; Lin, S. C.; Chen, S. W.; Pan, H. M.Item Fuzzy assessment of attributed concept map(1998-10-14) Lin, S. C.; Chen, S. W.; Chang, K. E.Item Attributed concept maps: fuzzy integration and fuzzy matching(Institute of Electrical and Electronics Engineers, 2001-10-01) Chen, S. W.; Lin, S. C.; Chang, K. E.A concept map, typically depicted as a connected graph, is composed of a collection of propositions. Each proposition forming a semantic unit consists of a small set of concept nodes interconnected to one another with relation links. Concept maps possess a number of appealing features which make them a promising tool for teaching, learning, evaluation, and curriculum planning. We extend concept maps by associating their concept nodes and relation links with attribute values which indicate the relative significance of concepts and relationships in knowledge representation. The resulting maps are called attributed concept maps (ACM). Assessing students will be conducted by matching their ACMs with those prebuilt by experts. The associated techniques are referred to as map matching techniques. The building of an expert ACM has in the past been done by only one specialist. We integrate a number of maps developed by separate experts into a single map, called the master map (MM), which will serve as a prototypical map in map matching. Both map integration and map matching are conceptualized in terms of fuzzy set discipline. Experimental results have shown that the proposed ideas of ACM, MM, fuzzy map integration, and fuzzy map matching are well suited for students with high performances and difficult subject materials.