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ID:36622515
大小:1.95 MB
页数:73页
时间:2019-05-13
《基于贝叶斯网络的学生模型的设计与实现》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、太原理工大学硕士学位论文基于贝叶斯网络的学生模型的设计与实现姓名:陈玲申请学位级别:硕士专业:计算机应用指导教师:彭新光2003.5.1里查堡跫三查堂堡!:里窒竺燕苎:皇兰!兰鱼望I。基于贝叶斯网络的学生模型的设计与实现摘要本论文酋先分析了远程教育的发展现状,指出个性化、适应缝教学系统是今薅远程教弯硬究领域中的热点与难点。鉴于学生模型的设计对邋应性教学系统的重溪作用,因此,如何刺用计算机技术建立一个合理可用的学生模型寒实现远程教学的个性化和适应性,对远程教育领域的研究有重要意义。本论文以建构主义思想和认知灵活性的学习理论必基础,利用
2、贝叶斯潮络模型,建立了覆盖型的贝叶斯网络学生模型。在建立学生模型时,首先将学生的信息分为领域相关信息和领域无关信怠两部分。领域稻关信惑的建模过程就是将学生所学的课程贝叶斯网络化的过程。论文中以(3、在无向环,使学生模型鹣羟瑾成为一个NP难题。本论文在参考灸时薪溺络酶更新算法的同时,改进了聚类算法,用联合树算法来实现对建好的贝雕+颊学生模型的推理爨耨。逶过建立道德图察三建他的过程先将学生模型转化为联合树的结构。这样,潞有学生的反馈信息时,模型能够邋过贝叶斯网络的自学习能力,更掰知识项之闯的概率分布,从而完成对学生能力及学习状况的预测推理,实现个性化教学。关键词;自适应教学系统,学生模型,贝叶斯网络鲤奎垦塑王查堂堡主堕窒生鎏塞DESIGNANDIM咿LEM瞻Nm气T10NOFMODELINGSTUDENTSBASEDONBAYES4、IANN甚TWORKSABSTR众CTFirstofall。thestates.Of-the-artondistanceleamings!yrstemiSbrieflyintroducedin磕isdissertation.Amongaliofcorrelativetechnologies,thepersonalizedandadaptivelearningsystemisreallyahottopicandalsoa毽itedifficulttobesolved。Furthermore.theimplementationofsuc5、halearningsystemdependsdirectlyonmodelingstudent.Asaforementioned,modelingstudentisacrucialcomputertechnologyontherelevantresearcharea。Basedontheconstructionismandthecognitiveflexibilitytheory,anoverlaystudentmodeliSestablishedbytheaidofBayesiannetworkapproach.Themodel6、designedprovestobeefficientandfeasibletorealizetheadaptabilityandtIleindividuationoftheleamingsystems.Duringtheprocedureofmodelingstudent,studentinformationisdividedintothefield。specificoneandthefield-nonspecificone.Tomodelthefield.specificinformationiStoconvertthecurr7、iculaintoitsversionontheBayesiannetworks。Andtomodelthefield.nonspecificinformationiStoevaluatetheacceptedlevelofthenewknowledgeforstudents。“Java飘jforial'’istakenasanexamplecurriculum,whichisdisassembledinto298knowledgeiternsandthemasteryofeachknowledgeitemcanbeexpresse8、dinto4levels。Thereafter,partialorderamongtheseknowledgeitemsissetupSOastoascertainthecausalityonBayesiannetworks.Then
3、在无向环,使学生模型鹣羟瑾成为一个NP难题。本论文在参考灸时薪溺络酶更新算法的同时,改进了聚类算法,用联合树算法来实现对建好的贝雕+颊学生模型的推理爨耨。逶过建立道德图察三建他的过程先将学生模型转化为联合树的结构。这样,潞有学生的反馈信息时,模型能够邋过贝叶斯网络的自学习能力,更掰知识项之闯的概率分布,从而完成对学生能力及学习状况的预测推理,实现个性化教学。关键词;自适应教学系统,学生模型,贝叶斯网络鲤奎垦塑王查堂堡主堕窒生鎏塞DESIGNANDIM咿LEM瞻Nm气T10NOFMODELINGSTUDENTSBASEDONBAYES
4、IANN甚TWORKSABSTR众CTFirstofall。thestates.Of-the-artondistanceleamings!yrstemiSbrieflyintroducedin磕isdissertation.Amongaliofcorrelativetechnologies,thepersonalizedandadaptivelearningsystemisreallyahottopicandalsoa毽itedifficulttobesolved。Furthermore.theimplementationofsuc
5、halearningsystemdependsdirectlyonmodelingstudent.Asaforementioned,modelingstudentisacrucialcomputertechnologyontherelevantresearcharea。Basedontheconstructionismandthecognitiveflexibilitytheory,anoverlaystudentmodeliSestablishedbytheaidofBayesiannetworkapproach.Themodel
6、designedprovestobeefficientandfeasibletorealizetheadaptabilityandtIleindividuationoftheleamingsystems.Duringtheprocedureofmodelingstudent,studentinformationisdividedintothefield。specificoneandthefield-nonspecificone.Tomodelthefield.specificinformationiStoconvertthecurr
7、iculaintoitsversionontheBayesiannetworks。Andtomodelthefield.nonspecificinformationiStoevaluatetheacceptedlevelofthenewknowledgeforstudents。“Java飘jforial'’istakenasanexamplecurriculum,whichisdisassembledinto298knowledgeiternsandthemasteryofeachknowledgeitemcanbeexpresse
8、dinto4levels。Thereafter,partialorderamongtheseknowledgeitemsissetupSOastoascertainthecausalityonBayesiannetworks.Then
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