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Research On Bayesian Network Based Evaluating And Tutoring Approach

Posted on:2007-09-28Degree:MasterType:Thesis
Country:ChinaCandidate:Z WangFull Text:PDF
GTID:2178360185984645Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Bayesian Network is a very effective tool to express uncertain knowledge and is used in many research fields widely. In this paper, Bayesian network is used in Intelligent Tutoring System in order to evaluate and instruct student individually.Firstly, the student modeling approach is analyzed in this paper. Based on two common Bayesian Network student models, an effective overlay student model with strong prediction ability based on domain knowledge relationship is proposed. This student model could reflect the domain specific knowledge structure and have strong prediction ability through quantifying the uncertain relationship between knowledge items. Then, an adaptive evaluating method to test student's cognitive ability is presented, in which the adaptive algorithm of selecting testing items is proposed to choosee the test questions fitting the student's cognitive level. This evaluating method can decrease the disturbance of abnormal reaction and improve the exactness of evaluating student's cognitive ability. Further more, a high-level teaching strategy and low-level teaching strategy has been provided in oreder to provide an individual...
Keywords/Search Tags:student model, bayesian network, evaluation, instruction, adaptive test
PDF Full Text Request
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