Research On Individualized Concept Map Applied In Web-based Learning

Individualized learning is a most important study principle and mode, which is actively advocated in educational field all over the world. Individualized learning emphasizes the learner as the principal subject. The Web-based learners, according to their knowledge, experience, ability and other specific learning situations, should be applied appropriate learning methods, learning content and learning progress. The learner’s cognitive structure is the most important of many factors that affect learning.Existing Web-based learning system deals with little regard to the course materials of different learners with different needs, as different cognitive structure caused. Less than to take into account the learners’learning situation will change as learners make progress generally, the Web learners may be faced with the same static hypermedia document.It is the key problem about Web-based learning to formalize and quantize that the cognitive structure of learners, and provide the Web learners with high quality advice and guidance of learning. After having been research a large number of foreign and Chinese literatures, and aiming at problems in current learning system this article do enough in-depth study on the following several contents:(1) Formalization and quantification of learners’cognitive structure. As the most important factor affecting learning, formalization and quantification of Web-based learners’ cognitive structure is a basis for advancing reasonable advice and guidance on learning. This article make a definition of orderly relationship between the points in subject knowledge, and then put forward the method for constructing individualized concept map, which is used to represent that the cognitive structure of learners.(2) The analysis and forecast of learning objectives. Upon the completion of a phase of learning, about to enter the next phase of learning, the Web-based self-learners often are faced with the choice of several learning objectives. Together with the structural information and semantic information of individualized concept map this paper proposes a new method to calculate correlation between knowledge points. On the basis of quantitative analysis and calculations of the new learning goals, these concepts in individualized concept map are divided into three zones, which can help learners select the most appropriate next-step learning objectives.(3) Access to learning materials. With the way to expand the concept to search for learning resources in the World Wide Web or within the learning system, this paper proposes a methods for calculat difficulty of text learning resources. Ranking learning resource according to the cognitive level of learners and difficulty of text, we can put forword the most suitable resource to self-learners in according with his current cognitive level.(4) Visualization of individualized concept map. Research on the automatic layout of concept map, in addition to following the traditional visual aesthetic criteria, focus on the inherent semantic relations between nodes. For a concept map with complex structure, we just take on the part which a learner is interested in at a time. As a result the learners can reduce their cognitive load and improve learning efficiency.At last, this paper introduce the individualized concept map prototype system, which can carry on edit, automatically layout, building individualized concept map, division and prediction of learning objectives, visualization based on learners’ interest. The system provides a graphical management and intelligent guidance for Web learner’s learning process, and help learners select the appropriate learning objectives, and when faced with a complex concept map, also can simplified the concept map in term of learner’s current interests.