Analyzing the education resource construction and management from knowledge management perspective is the hot spot and focus of current education research. We make the knowledge management concept of knowledge acquisi...Analyzing the education resource construction and management from knowledge management perspective is the hot spot and focus of current education research. We make the knowledge management concept of knowledge acquisition, knowledge application and knowledge creation as the core throughuot the whole process of homework management activities to realize the optimization of homework management process. It mainly illustrates the sharing design and application of homework digitization resources. The sharing and application of homework digitization resources will promote the accumulation of teaching knowledge, which has a guiding research significance for promoting the use of educational resources, the application of education knowledge and the virtuous cycle of transformation and accumulation.展开更多
Recently,the expertise accumulated in the field of geovisualization has found application in the visualization of abstract multidimensional data,on the basis of methods called spatialization methods.Spatialization met...Recently,the expertise accumulated in the field of geovisualization has found application in the visualization of abstract multidimensional data,on the basis of methods called spatialization methods.Spatialization methods aim at visualizing multidimensional data into low-dimensional representational spaces by making use of spatial metaphors and applying dimension reduction techniques.Spatial metaphors are able to provide a metaphoric framework for the visualization of information at different levels of granularity.The present paper makes an investigation on how the issue of granularity is handled in the context of representative examples of spatialization methods.Furthermore,this paper introduces the prototyping tool Geo-Scape,which provides an interactive spatialization environment for representing and exploring multidimensional data at different levels of granularity,by making use of a kernel density estimation technique and on the landscape "smoothness" metaphor.A demonstration scenario is presented next to show how Geo-Scape helps to discover knowledge into a large set of data,by grouping them into meaningful clusters on the basis of a similarity measure and organizing them at different levels of granularity.展开更多
文摘Analyzing the education resource construction and management from knowledge management perspective is the hot spot and focus of current education research. We make the knowledge management concept of knowledge acquisition, knowledge application and knowledge creation as the core throughuot the whole process of homework management activities to realize the optimization of homework management process. It mainly illustrates the sharing design and application of homework digitization resources. The sharing and application of homework digitization resources will promote the accumulation of teaching knowledge, which has a guiding research significance for promoting the use of educational resources, the application of education knowledge and the virtuous cycle of transformation and accumulation.
文摘Recently,the expertise accumulated in the field of geovisualization has found application in the visualization of abstract multidimensional data,on the basis of methods called spatialization methods.Spatialization methods aim at visualizing multidimensional data into low-dimensional representational spaces by making use of spatial metaphors and applying dimension reduction techniques.Spatial metaphors are able to provide a metaphoric framework for the visualization of information at different levels of granularity.The present paper makes an investigation on how the issue of granularity is handled in the context of representative examples of spatialization methods.Furthermore,this paper introduces the prototyping tool Geo-Scape,which provides an interactive spatialization environment for representing and exploring multidimensional data at different levels of granularity,by making use of a kernel density estimation technique and on the landscape "smoothness" metaphor.A demonstration scenario is presented next to show how Geo-Scape helps to discover knowledge into a large set of data,by grouping them into meaningful clusters on the basis of a similarity measure and organizing them at different levels of granularity.