Understanding Knowledge Models: Modeling Assessment of Concept Importance in Concept Maps Export

@article{leake04understanding, abstract = {Concept mapping is widely used in educational and other settings to aid knowledge construction, sharing, and comparison; concept maps are also used as a vehicle for assessing understanding. To aid the concept mapping process, projects at Indiana University and the Institute for Human \& Machine Cognition (IHMC) are developing intelligent suggesters to support users as they build concept maps, by presenting them with relevant information from existing knowledge models and the Internet. This depends on identifying important concepts in the concept map under construction. This paper presents and evaluates models of the inuence of concept map layout and structure on the selection of concepts expected to be relevant to the topic of concept maps. It presents and assesses a set of potentially-relevant structural factors and evaluates how these factors combine to affect human judgments of concept importance. Twenty subjects were asked to judge the relative importance of concepts in concept maps selected to highlight particular characteristics, and three models were compared to their judgments. Analysis of the results shows that subjects were signicantly inuenced by concept map topology, but little in- uenced by other aspects of concept map layout. The results suggest that layout-independent models of concept maps can provide a suitable representation for guiding retrieval of topicrelevant information to support concept map construction, provided that the representation reects topologically-based inuences. The results are applied in the design of the suggesters' similarity assessment procedures for retrieving relevant concept maps.}, author = {Leake, David and Maguitman, Ana and Reichherzer, Thomas}, citeulike-article-id = {1038397}, keywords = {concept, concept-map, visualization}, posted-at = {2007-01-12 15:19:32}, priority = {1}, title = {Understanding Knowledge Models: Modeling Assessment of Concept Importance in Concept Maps}, year = {2004} }

TY - JOUR ID - leake04understanding L3 - citeulike-article-id:1038397 N2 - Concept mapping is widely used in educational and other settings to aid knowledge construction, sharing, and comparison; concept maps are also used as a vehicle for assessing understanding. To aid the concept mapping process, projects at Indiana University and the Institute for Human & Machine Cognition (IHMC) are developing intelligent suggesters to support users as they build concept maps, by presenting them with relevant information from existing knowledge models and the Internet. This depends on identifying important concepts in the concept map under construction. This paper presents and evaluates models of the inuence of concept map layout and structure on the selection of concepts expected to be relevant to the topic of concept maps. It presents and assesses a set of potentially-relevant structural factors and evaluates how these factors combine to affect human judgments of concept importance. Twenty subjects were asked to judge the relative importance of concepts in concept maps selected to highlight particular characteristics, and three models were compared to their judgments. Analysis of the results shows that subjects were signicantly inuenced by concept map topology, but little in- uenced by other aspects of concept map layout. The results suggest that layout-independent models of concept maps can provide a suitable representation for guiding retrieval of topicrelevant information to support concept map construction, provided that the representation reects topologically-based inuences. The results are applied in the design of the suggesters' similarity assessment procedures for retrieving relevant concept maps. TI - Understanding Knowledge Models: Modeling Assessment of Concept Importance in Concept Maps KW - concept KW - concept-map KW - visualization AU - Leake, David AU - Maguitman, Ana AU - Reichherzer, Thomas PY - 2004/// ER -