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Research On Individualized Presentation Of Knowledge Network In Network Teaching

Posted on:2007-08-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiFull Text:PDF
GTID:2167360182989357Subject:Education Technology
Abstract/Summary:PDF Full Text Request
There are huge advantages for network teaching to provide navigation service. But some deficiencies inevitably existed at the same time, especially on the aspect of individualized navigation. So, based on the current situation of navigation technology of network teaching, the thesis has studied the "individualized presentation of knowledge network in network teaching".The thesis analyzed the design principle and philosophy of individualized presentation of knowledge network. Based on these, the structure and flow of individualized presentation of knowledge network were designed. Then the hierarchical structure of domain knowledge was analyzed which included the division of knowledge point, the description of knowledge point attribute and knowledge point relationship. The semantic network model was adopted to represent the net structure and the relationship of domain knowledge. Based on these, the knowledge network model was designed. Learner's cognition level was analyzed. Based on the knowledge network model, the learner's cognition level and the ISM method, the generation algorithm of individualized knowledge network is proposed, through the calculation of background matrix and reachable matrix, and take into consideration of cognition level of learner, the knowledge network structural relationship that conform to the individual cognition level of learner was generated. Finally, the individualized presentation system of knowledge network under B/S was developed using ASP+VML technology. It provides the Web reading environment of knowledge structure in visualized field for learners in network teaching. The research has certain significance. It could be applied in the navigation service in network teaching.
Keywords/Search Tags:Network teaching, Knowledge visualization, Semantic network, Individualized knowledge presentation
PDF Full Text Request
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