智能教学系统若干关键技术研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
网络教学作为一种新的教学方式,随着计算机技术、网络技术和多媒体技术的发展而迅速兴起并日益普及,然而随着高新技术的发展,传统的网络教学方式已无法满足需要,因此研究具有智能技术的网络教学系统是目前网络教学的发展趋势。
     随着Web技术的不断发展,基于Web的智能教学系统研究受到更多的重视。在Web上构建智能教学系统,利用网络实现分布式教学,可以同时接受多个用户的并发访问,不受时间和空间的限制,因此得到教育领域的广泛应用。目前,智能教学系统已在Web技术的基础上,集成了智能代理、人工智能、数据挖掘、自然语言处理和虚拟现实等先进技术。
     目前,各种电子学习系统以不同的形式出现。但是,在通过虚拟社区支持共享和协作学习方面仍然存在着巨大的障碍。解决这些问题的途径是研发一种教育中介软件,即以社区为基础的学习COBL框架,运用此框架可以弥补虚拟社区在支持共享和协作学习方面的不足。
     在学生模型领域,许多建模途径已经得到了尝试,贝叶斯网络模型是其中发展较快的。本文基于贝叶斯网络建模过程,提出贝叶斯学生建模,体现出个性化知识教学。
     为了扩大教师转变模型的范围,提出基于交互论和建构主义的观点整合社会文化。因此模型的重点放在了文化和情境因素、与社会互动过程、以及在个人层面的发展上。本文首先研究了角色、状态、期望在由学生、教师组成的教学实践过程中的形成,然后构建了一个合作、交互的教师转变模型来整合社会文化因素。
     基于早期的COBL系统原型,本文利用IBM Agents、Java和XML语言实现了其功能,并对COBL系统共享数据的功能进行可行性分析、讨论,并分析研究了COBL原型中会话用户的相互作用。
With the development of computer, network and multimedia technology, network teaching is gotten to be sprung up fast and used widely as a new teaching mode. However, as the high and new technology growing,traditional network teaching mode can't satisfy our needs any more, now it's a strong trend for us to research the network teaching system with intelligent technology.
     As the web technology advances, the study on intelligent teaching system based on web is increasingly paid more attention.By constructing intelligent teaching system on the web, implementing the distributing teaching using network, accepting multi-user concurrent access free from the imitation of time and space, intelligent teaching system has gotten heavy recognition and used widely in the fied of education. At present, intelligent teaching system has integrated the technologies of intelligent agent, artificial intelligence, data mining, natural language processing and virtual reality and so on.
     There comes to be some electronic study system supporting the learning in various forms.But there are still huge obstacles at the aspects of supporting share and the coordination study by virtual community.In order to solve these difficulties, the paper has researched and developed a kind of education middle soft ware, it is a learning frame based on community.The frame can make up the inadequate ofvirtual community for lack of supporting shared and the coordination study.
     In the filled of student model, lots of modeling method have been experimented and Bayesian network is one of the most widely developing models.The paper has expanded the Bayesian student modeling and embodied the individual knowledge teaching, all of these works were based on the modeling process of Bayesian network.
     Based on the theory of interaction and the view of Constructivism,the paper has integrated social culture to enlarge the range of teacher conversion model.So the keys of the model are the factors of culture and situation,the process of interaction with society,and the individual level of development.Firstly,the paper has researched how the role, situation,expectation to be shaped in the teaching practice process,which consists off our students and teachers,then tries to construct a collaborative,interactive teacher conversion model to integrate social culture factors.
     Based on the early COBL system prototype, its functions has been implemented by using the IBM Agents,Java and XML language in the paper.The paper has analysed and discussed the functions of share data about COBL system,and presented the interaction among the conversation users about COBL prototype.
引文
[1]我国网络教育的现状及发展前景展望[EB/O].[2003-11].http://www.cbe21.com/subject/information/htm/130303/2003-11/20031121-2022.htm.
    [2]唐清安,韩平,程永敬等.网络课程的设计与实践[M].北京:人民邮电出版社,2003.
    [3]康顺利.基于Agent的智能教学系统的研究与实现[D].天津:天津师范大学,2007.
    [4]贾海燕,祝晓鲁,白振兴.基于多Agent的远程教育系统研究[J].现代电子技术,2007(3):175-177.
    [5]Munch,SteiM,SchuzR.An Agent-Based Architecture for Soving Dynamic Resource Aocation Probe CMS in Manufacturing. In:A.Verbraeck,W.Krug,eds.Proceeding 14th European Simuation,(c)SCS Europe BVBA,2002.
    [6]Michae Negnevitsky. Artificia Intelligence:AGuideto Intelligent System CMS. SecondEdition.Addision-Wesey,2004,165-216.
    [7]刘寅.基于Web和智能教学系统的研究与实现:硕士学位[D].中国优秀博硕士学位论文全文数据库.中国农业大学,2005.6.
    [8]谢惠新,王林泉,葛元.智能教学系统中认知型学生模型的建立[J].计算机工程与应用,2005.3:229-232.
    [9]刘常青,黄道君.智能计算机辅助教学系统的认知型学生模型的设计[J].西安电子科技大学学报.2009,26(1):109-111.
    [10]张惠萍.数据挖掘及其应用[J].科技咨询导报,2006.8:22.
    [11]程志,桂占吉.Web挖掘的方法及教育应用[J].中国电化教育,2006.7:98-101.
    [12]MargaretH. Dunham,郭崇慧等译.数据挖掘教程[M].北京:清华大学出版社,2005.5.
    [13]宋爱波,董逸生,陈静.基于Webog的模式发现及应用的研究[J].小型微型计算机系统.2002.11:1332-1335.
    [14]范莉莎,刘剐,刘志镜.Web数据挖掘在网络教育中的应用[J].计算机技术与发展,2006.6:68-70.
    [15]C.J.Butz,S.HandR.B.Maguire,Web-based Intelligent Tutoring System for Computer Programming. in:Proceedings of the IEEE/WIC/ACMC onference on Web Intelligence,Beijing,China,2004,159-165.
    [16]黄橡丽,张新荣,王成霞.一个通用ICAI系统的设计与实现[J].天津大学学报,2002,35(4):530-534.
    [17]乔向杰.基于Web和数据挖掘的智能教学系统的研究与开发:硕士学位[D].中国优秀博硕十学位论文全文数据库.首都师范大学,2005.4.
    [18]JnngsoonYoo,Ceni,ChrisiaPettey.Adapative teaching strategy foronineearning[J]. Internationa Conference on Intelligent User Interfaces,Jan.2005:266-268.
    [19]SternM,SteinbergJ,eeHI,et al. MANIC:Multi-media asynchronous net worked in dividuaized courseware[EB/O].http://citeseer.Ist.psu.Edu/stern97manic.htm,2007.
    [20]Hyacinth,S.N.Intelligent Tutoring System CMS. Anoverview. Artificia Intelligence Review,4(40):251-277,2000.
    [21]Carbonei,J.& AIinCAI:An artificiain telligence approach to computer aidedinstruction.IEEE Transaction Machine System CMS,II(4):190-202,1970.
    [22]Brown,J.S.&Burton,1R.Diagnostic modes for procedural bugs in basic mathematicas kis.Cognitive Science,2,155-192,1978.
    [23]查卫平.美国大学远程教育的最新发展.世界教育信息.2004,22(7).
    [24]孙宁,王伟杰.试论英国开放大学的办学经验及对我国网络教育的启示.成人高教学刊.2001,5:61-64.
    [25]URUSIOVSKYP.EM-ART:An intelligent tutoring system on Word Wide Web intelligent tutoring system [A].lecture Notes in Computer Science[C]. Berin:Springer Veray.2003:82-85.
    [26]Fabiano A Dorca,Caros Ropes A Multi-agent Architecture for Distance Education System CMS[J]. Proceeding soft the3rd IEEE Internationa Conferenceon Advanced learning Technologies.2003:63-67.
    [27]陈天云,张剑平.智能教学系统(ITS)的研究现状及其在中国的发展[J].中国电化教育工作者.2007(2):95-99.
    [28]URUSIOVSKYP.EM-ART:An intelligent tutoring system on Word Wide Web intelligent tutoring system[A]. lecture Notes in Computer Science[C]. Berin:Springer Veray.2003:82-85.
    [29]Fabiano ADorca,Caros Ropes A Multi-agent Architecture for Distance Education system CMS[J]. Proceeding soft the 3rd IEEE International Conference on Advanced learning Technologies.2003:63-67.
    [30]HewittC,InmanJ.DAIbetwixt and between:From "intelligent agents" to open system CMS science[J].IEEE Transon System CMS,Man,and Cybernetics, 2001,21(6):1409-1420.
    [31]BenbunanR.Aninteraction meta-mode for group ware theory and research [A]. Proc of the 30th Hawaii Inter Confon System Science[C].Kihei:Institute of Eectrica and Eectronics Engineers Inc,2007.76-83.
    [32]DoranE.Onco operation in multi-agent system CMS[J].The Knowedge Engineering Review,2007,12(3):309-314.
    [33]PopeA.The CORBA reference guide:Understanding the common object request brokerarchitlecture[M].Reading Mass:Addison Wesey,2008.62-68.
    [34]EVENS.ITAA On the complexity of time tabe and Multi-commodity fowprobe CMS.1976(4).
    [35]黄檬丽,王兵.智能教学系统中教学策略的设计与实现[J].天津纺织工学院学报,2009.18(5):56-59.
    [36]王亚南.专家系统中推理机制的研究与应用.硕士学位[D].中国优秀博士学位论文全文数据库.武汉理工大学,2006.5.
    [37]张春飞,李万龙.基于多Agent的智能教学系统模型[J].河北科技大学学报.2008(3):48-52.
    [38]谢忠新,王林泉,葛元.智能教学系统中认知型学生模型的建立[J].计算机工程与用.2005(3):229-232.
    [39]张荣梅,李福亮.基于Agent的网络智能教学系统的研究[J].现代电子技术.2007(6):83-86.
    [40]蔡秋枫.网络环境下的智能教学系统研究[J].教育与职业.2007(36):173-175.
    [41]王超.建构主义学习理论对教学的启示黑龙江高教研究[J].2006(7):111-112.
    [42]彭庆波.基于多Agent的智能网络教学系统研究.中国优秀硕士学位论文全文数据库.国防科学技术大学.
    [43]李志平,刘敏昆,孙瑜.基于Web的智能教学系统研究[J].计算机工程与应用.2006(2):208-210.
    [44]康顺利.基于Agent的智能教学系统的而研究与实现[D].天津:天津师范大学,2007.
    [45]史君.基于Multi-Agent的适应性网络教学系统的架构与实现[D].天津:天津师范大学,2007.
    [46]张涛.多Agent在现代远程教学中的研究与应用[D].长沙:湖南大学,2006.
    [47]彭绪山.基于WEB的智能教学系统的研究[D].武汉:华中科技大学,2006.
    [48]陈梅兰.基于Web的智能教学系统的研究与实现[D].广州:华南理工大学,2006.
    [49]郑伟颖.基于个性化学习的网络智能教学系统[D].上海:复旦大学,2006.
    [50]董宏斌,石纯一.移动Agent技术研究[J].计算机科学,2000,27(4):35-38.
    [51]刘伟,余英良.基于Agent技术的智能计算机辅助教学系统[J].河南科技大学学报(自然科学版),2005,26(2):40-43.
    [52]马文龙,瞿有甜,张金伟.基于多Agent的适应性网络教学系统设计[J].计算机应用与软件,2007,24(10):141-142.
    [53]曾辉.多Agent在适应性网上教学系统的应用[J].井冈山学院学报(自然科学),2007,28(6):41-42.
    [54]吴代贤,李建国.基于Agent的远程CAI系统研究[J].西南师范大学学报(自然科学版),2003,28(3):395—-398.
    [55]沈达刚,林作锉.Internet网上的软件Agent[J]计算机科学,2007,(4):14-19.
    [56]蔡俊.基于多Agent的网络教学模型的研究[D].浙江:浙江师范大学,2000.
    [57]汪前进.基于Agent的智能教学系统[D].南京:南京理工大学,2003.
    [58]官福山.基于网络数据库的教学/学习系统[D].大连:大连海事大学,2000.
    [59]王珠珠,张伟远.我国普通高校网上教学平台及网站建设的现状分析[EB/O].
    [601谢幼如,柯清超.网络课程的开发与应用[M].北京:电子工业出版社,2005.
    [61]杨九民,梁林梅.教学系统设计理论与实践[M].北京:北京大学出版社,2008.
    [62]何炎祥,陈莘萌Agent和多Agent系统的设计与应用第一版.武汉大学出版社,2001,6.
    [63]刘大有,杨鲲,陈建中Agent研究现状与发展趋势.软件学报,200O,voll,n03,315-321.
    [64]毛新军,王怀民Agent技术及其标准化.计算机科学,2001,vo28,no4,1-4.
    [65]Konstantinos Soomos,Nikoaos Avouris.learning from Coabo rating Intelligent.
    [66]Ashraf Saad,PhD. A Multi—Agent Spreading Activation Network Model for Online learning Objects.
    [67]刘梦琳.数据挖掘技术在高校教学系统中的应用[J].计算机与信息技术,2007,3.
    [68]毛国君.段立娟等.数据挖掘原理与计算[M].北京:清华大学出版社,2005.
    [69]邵峰晶.于忠清编著.数据挖掘原理与算法[M].北京:中国水利水电出版社,2003.
    [70]张玉林.数据挖掘技术在教学过程中的指导作用[J].西安通信学院学报,2006.5(2):38-39.
    [71]范明,孟小峰.数据挖掘概念与技术[M].北京机械工业出版社.
    [72]王光宏,蒋平.数据挖掘综述.同济大学学报(自然科学版),2004(02).
    [73]KantardzicM著,闪四清等译.数据挖掘概念、模型、方法和算法.北京:清华大学出版社,2003.
    [74]C.W.Tan,A.Goh.Implementing ECAruesinan active database [J].Knowledge-Based System,2009,(12):137-144.
    [75]ShohamY.Agent-oriented programming[J].Artificia Intelligence,2003,(60):51-92.
    [76]Paton.N.Ed Active Ruesin Database System.Springer-Verag,200.
    [77]刘大有Agent研究现状与发展趋势[J].软件学报,2000,(11).
    [78]QusayH.Mahmoud(美)著,欧阳光,安锦译Java分布式程序设计[M].国防工业出版社,2002.
    [79]唐永中.事件运算、事件表达式与主动数据库技术研究[J].计算机工程与应用,2000,(7).
    [80]ZiarkoW.Roughtset,fuzzy set and knowledge discovery[M].[SCI.]:Springer Verag,2004.
    [81]HanJia-wei, KamberM数据挖掘概念与技术[M].2版.范明,孟小峰译.北京:机械工业出版社,2007.
    [82]Gaoi, DaiShang-ping.Using genetical gorithm for data mining optimizationinanimage database[C]//Fourth International Conference on Fuzzy System CMS and Knowledge Discovery (FSKD2007)
    [83]KoperskiK,HanJ.Discovery of spatial association ruesin geographic information databases[C]//NCS951:Procof Internationa Symposiumon Advancein Spatia Databases,SSD. [SCI]:Springer Verag,2005:47-66.
    [84]ChenG,WeiQ.Fuzzy association rules and the extended miningagorith CMS[J]. Information Sciences,2002,147:201-228.
    [85]董立凯,曲守宁.Web日志挖掘技术在电子商务网站中的应用[J].山东轻工业学院学报,2008,22(1):8.
    [86]李珊,袁方.基于Web日志挖掘的页面兴趣度方法的改进[J].计算机时代,2007,3:30-31.
    [87]HanJ,KamberM.Data.Mining:Concepts and Techniques[M].Morgan Kaufmann,2001.
    [88]KamberM,ShinghaR.Evauating the Interesting ness of Character istic Rues[C]//Proc of the 2ndInt'Confon Knowledge Discovery and Data Mining,2006:263-266.
    [89]BrinsS,MotwaniR,UmanJD,eta.Dynamic Item-set Counting and Impication Rues for Market Basket Data[C]//Proc of the ACMSIGMOD Confon Management of Data, 2007:207-216.
    [90]谭学清,罗琳,周洞汝.关联规则兴趣度度量方法的比较研究[J].情报学报,2007,26(2):266-270.
    [91]王继成.基于认知模拟的自适应机器学习算法研究[J].软件学报.2001.12(8):1205-1211.
    [92]周志华.神经网络集成[J].计算机学报,2002,25(1):1-8.
    [93]邓乃扬,田英杰.数据挖掘中的新方法-支持向量机[M].北京:科学出版社,2004:77-162.
    [94]张仰森.人工智能原理与应用[M].北京:高等教育出版社,2004.
    [95]阎平凡,张长水.人工神经网络与模拟进化计算[M].北京:清华大学出版社,2006:127-143.
    [96]蔡自兴,徐光佑.人工智能及其应用[M].北京:清华大学出版社,2003,25.60.
    [97]蒋宗礼.人工神经网络导论[M].北京:高等教育出版社,2001,55-75.
    [98]何克抗.建构主义的教学模式、教学方法与教学设计[J].北京师范大学学报(社会科学版),2007,(5):74-81.
    [99]陈凯泉.网络教学中智能代理的应用[J].远程教育.2002,(4):68-70.
    [100]CarboneJR.AIinCAI:An artificiain telligence approach to computer aided instruction[C].IEEE Transaction Machine System CMS,1970,11(4):190-202.
    [101]SeemanD,BrownJS.Intelligent tutoring system CMS[M].NewYork:Academic Press,1982.
    [102]周晓军.多媒体智能教学系统研究与设计[D].北京:中科院计算所博士论文,2000.
    [103]BrusiovskyP.Intelligent tutoring system CMS forword-wide web[C].Dar CMStadt, Dar CMStadt:Proceedings of Third International WWW Conference,Fraunhofer Institutefor Computer Graphics,2005.42-45.
    [104]BrusiovskyP.Methods and techniques of adaptivehyper media[C].User Modeing and User-Adapted Interaction,6(2-3).87-129.
    [105]刘寅,黄燕.基于Web的智能教学系统知识模型与学习控制.计算机工程与设计.2006年7月.第27卷第14期.
    [106]李志平,刘敏昆,孙瑜.基于web的智能教学系统研究.计算机工程与应用.2006.02.
    [107]唐素勤.基于Web的智能教学系统模型.计算机应用.2004年4月.
    [108]陈燕娟.基于Web的智能教学系统的研究与实现.计算机技术与发展.2008.5.
    [109]罗梅,王万森.基于web的智能教学系统的研究与实现.研究与设计.2006.9.
    [110]韦素媛,宁超,张世英.web环境下的智能网络教学系统.计算机工程与应用.2003.1.
    [111]Sternberg,R,2007.Thinking Styes,Cambridge University Press,New York.
    [112]Brusiovsky,p,2006.Methods and techniques of adaptivehy permedia.User Modeing and User Adapted Interaction6(2-3),87-129.Kuwer.The Netherands.
    [113]Carotenuto.,Etienne,w,Fontaine,M,Friedman,J,Muer,M,Newberg,H,simpson,M,Susher ,J,Stevenson,K,2009.Community space:to wards fexibe support for voluntary knowledge communities.Technica Report No.99-04.IBM Watson Research Center and Work shop in Changing Paces.ondon, UR:http//www.dcs.qmw.ac.uk/research/distrib/Mushroom/workshop/
    [114]Mamdani,A,Pitt,j,Stathis,K,2009.Connected communities from the stand point of multi-agent system CMS.New Generation Computingl7(4),381-393.OhCMSha.
    [115]Woodridge,M,Jennings,N,2005.Interigrnt agents:theory and practice.The Knowledge Engineering Review10(2),115-152.Cambrige University Press.
    [116]ee,Y,Geer,J,2006.Parae Transitive Reasoning in Mixed Reationa Hierarchy, Proceedings of the Knowledge Representation and Reasoning(KR-96),Morgan Kaufmann,osAtos,CA,pp.576-587
    [117]ee,Y,Geer,J,2002.Efficient transitive cosure reasoning in acombined cass//part/ contain menthie rarchy.Journa of Knowledge and Information System4(3),305-328.
    [118]Jonassen,D,Beissner,K,Yacci,M,2003.Structua Knowledge:Techniques for Assessing, Conveying,and Acquiring Structura Knowledge,awrence Erbaum,Hisdae,NJ.
    [119]Nodine,M,2008.The Info Seuth Agent System,Proceedings of the Send Internationa Workshop,CIA'98,ACM,NewYork,pp.19-20.
    [120]Carbone,JR.(1970).AinCAI:anartificia intelligence approach to computer-assisted instrcyion.IEEE Transationson Man-Machine SystemCMS,ll(4),190-202.
    [121]Mayo,M,Conatrovic,A.(2001).Optimising its behavior with Bayesian networks and decisiontheoy,International Hourna of Artificia Intein Education,12,14-153.
    [122]Mit,A,Koedinge,KR,&Martin,B.(2003).AComparative analysis of cognitive tutoring and constraint-based modeing,vo,2702.Berin,Heideberg:Springer Berin Heideberg.
    [123]Ohsson,S.(2002).Constraint-based student mondeing.Jurna of Artificia Intelligence in Education,3(4),429-447.
    [124]Neapoitan,R.(2000)Probabiistic reasoning inexpert system CMS:The oryandagorith CMS.New York:johWiey&Sons.
    [125]Druzdze,M,Henrion,M.(2000).Using scenarios to expain probabiis ticinference. In Working notes of the AAAI Work shop on Expanation.pp.133-141.
    [126]Pea,J.(June2000).Causaity:Modes,reasoning and inference(2nded.).Cambridge University Pree.
    [127]Kahneman,D,Sovic,P,&Tversky,A.(1982).Judgment under uncertainty:Heuristics and biases.New York:Cambridge Univercity Pree.
    [128]Pear,j.(2008).Probabiis tic reasoning in intelligent systemCMS:Networks of pausibe Intelligence Morgan Kaufmann Pubishers.
    [129]Druzdze,MJ,&vaneijen,H.(2001)Causareversibiityin Bayesiannet works.Journa of Experimenta and The oretica Artificia Intelligence,13(l),45-62.
    [130]Diez,F-j,&Druzde,M.(2002)Canonic aprobabiistic models for knowledge engineering Tech.Rep.IA-02-01.Dept.Intelligencia Artificia.
    [131]Reye,J.(2006).A belief net back bone for student modeling.In Proceedings of Internationa Coference on Intelligent Tutoing System CMS(ITS'96).vo.1086 of ecturenotesin computer science(pp.596-604).Springer.
    [132]Reye,J.(2008).Two-phase updating of student models based on dynamic belief networks. In Proceedings of International Coference on Intelligent Tutoing System CMS(ITS'96).vo.1452 of lecture notes in computer science(pp.274-283).Springer..
    [133]Reye,J.(2004).Student modeling based on belief networks.International Journa of Artificia Intelligence Education,14.1-33.
    [134]Dean,T,&Kanazawa,K(1989).Amode for reasoning about persistence and causation. Tech.rep.Providence,RI,USA:Brown University.
    [135]Duda,R.O,&Hart,P.E(1973).Pattern classification and scene anaysis.New York: Wiey-Interscience Pubication.
    [136]Stacey,K,Sonenberg,,Nichoson,A,Boneh,V(2003).A teaching mode expoiting cognitive confict driven by a Bayesian network. In lecture notes in computer science, Vo.2702(pp.1450).
    [137]Greer,J,&McCaa,G.(1989).A computation a frame work for granularity and its application to educational diagnosis.In Proceedings of international Joint conference on Atificia Intelligence(IJCAI'89)(pp.477-482).San Francisco,CA,USA:Morgan Kaufmann Pubishers Inc.
    [138]Mian,E,&Perez-de-aCruzJ.-.(June2002).Abayesi and iagnostic agorithmfoe student modeling and it secauation,User Modeling and User-Adapted interaction,12 (2),281-330.
    [139]Manske,M,Conati,C.(2005).Modeling learning in an educational game.in: Proceedings of AIED'05:word Conference of Artificia Intelligence and Education.pp.411-419.
    [140]Zapata-Rivera,J.D.(October2004).In specta be bayesian student modeling severs in multi-agenttutoring system CMS. Internationam Journa of Hunman-Computer Studies, 61(4),535-563.
    [141]Suebnukarn,S,&Haddawy,P.(September2006).modeling individual and coaborative proem-soving in medic aprobem-based learning.User Modeling and User-Adapted interaction,16(3-4),211-248.
    [142]Mudner,K,&Conati,C.2005..Using similarity to infermeta-cognitive behaviors during anaogica probem soving.In:Proceedings of Internationa Coferenceon User Modeling(UM'05). In lecture Notes in Computer ScienceVo.3538(pp.134-143)
    [143]Conati,C,&Macaren,H.(January2009).Empiricay buiding and evauating aprobabistic model of user affect.User Modeing and User-Adapted Interaction,19(3).267-303.
    [144]Mudner,K,ChDpherson,R,Atkinson,R,&Bureson,W.(2009).Investigating the utiity of eye-tracking information on affect and reasoning for user modeling,Vo,5535. Berin, Heideberg:Springer Berin Heideberg.
    [145]Ortony,A,Core,G.,&Coins,A(Juy1988)The cognitive structure of emotions. Cambridge University Pree.
    [146]opez,J.-M,Mian,E,PerezdeaCruz.J.-,Triguero,F.(2008)Iesa:a web-based intelligent learning environment for the simpex agorithm.in:Proceedings of International conferenceon Computer-Aided eaning and Instrction(CAISCE'98).pp.399-406.
    [147]Mian,E,Garcia-Hervas,E,GuzmanDeosRisco,E,Rueda,A,&PerezdeaCraz,J.-.(2004).Ta pi:an adaptive web-based leaning environment for inear programming in Current topics inartificial intelligence.Vo3040 of lecture notes inartificial intelligence (pp.676-685). Springer.
    [148]Baker,R,Corbett,A.T,&Aeven,V(2008).More accurate student modeling though context uaestimation of sipand guess probaitiesin Bayesian knowledge tracing. lecture Notes in Computer Science,5091,406-415.
    [149]Vanehn,K,Niu,Z,sier,S,&Gertner,A.S.(2008).Student modeling from conventioal textdata:a bayesian approach without priors.In lecture notes in computer scienceVo. 1452(pp.434-443).Berin,Heideberg:Springer Berin Hedeberg.
    [150]Russe,S,&Norvig,P.(December2002).Artificiain terigence:Amoder appoach(2ndid.) prenticeHa.
    [151]ange,D,Oshima,M,Karjoth,G,Kosaka,K,2007.Agets:programming mobie agents in Java.In:Masuda,T,Masunaga,Y,Tsukamoto,M.(Eds),Word wide Computing and its Appications,Internationa Conference,WWCA'97,Tsukuba,Japan,Proceedings,lecture Notes in Computer Science,Springer,Berin,pp.253-266.
    [152]uchini,K,2008.Probe CMS and potentias in web-based instruction,with particular focus on distance learning.Educational Technology and Societyl(1).
    [153]Biner,P,Bink,M,Huffman,M,Dean,R,2005.Personaity characteristics differentiating and predicting the achievement of teevised-course students and traditiona-course students. The ACcan Journa of Distance Education9(2),46-60.The Pennsyvania State University.
    [154]Brenner,J,2007.Ananaysis of student's cognitive styesina synchronous distance education courses atacommunitycoege.Third Internationa Conferenceon Asynchronous learning Networks.
    [155]Mine,S,Shiu,E,Cook,J,2006.Deveopment of amode of user attributes and its implementation with in anadaptive tutoring system.User Modeling and User-Adapted Interaction6(4),303-335.Kuwer Academic Pubishers,The Netherands.
    [156]Schwab,I,Kobsa,A.,Koychev,I,2000.learning about users from observation, Proceedings of the Adaptive User Interfaces,MenoDrive,CA,AAAI, pp.102-106.
    [157]Wesey,.P,Shim,S,Atreya,S.D,Booth,R.P,2009.ROADS:an environment for developing automated intelligent agents to support distance learning.Journa of Interactive learning Researchl0(3-4),321-323.Association for the Advancement of Computing in Education,USA.
    [158]Mages,P,Wexebat,A.,2006.Interface agents.In:Biger,R,Guest,S,Tauber,M.J.(Eds.), Proceedings of the CHI96 Tutorias,ACM,New York,pp.369-370.
    [159]Finin,T,Weber,J,Wiederhod,G,Genesereth,M,Fritzson,R,Mckay,D,McGuire,J,Peavin,R ,Shapiro,S,Beck,C,2003.Specification of the KQM agent-communication language. DARPA Knowledge Sharing Initiative External Interfaces Working Group, avaiabeat. http://citeseer.nj.net.com/finin94specification.htm.
    [160]Franke,A,Hess,S,Jung,C,Kohhase,M,Sorge,V,20099.Agent-oriented integration of distributed mathematica services.Journa of Universa Computer Science5,156-187. Springer..
    [161]iu,B,Du,H,Feng,A,Wang,Y,Zhuo,J,2000.Synchronized multimedia course ware pubishing system base on XML.Mini-Micro Syste CMS21(7),779-781 Mini-Micro System,China.
    [162]Stonick,V,Koodziej,W,Gygax,O,2009,Design of guided-asynchronous graduate course in multimedia signa processing.IEEE Internationa Conferenceon Acoustics,Speech, and Signa Processing,2033-2036.IEEE.
    [163]Schinder,R,Schuster,A,1986.Pre knowledge and the Efficiency of Sef-guided User's learning,Third European Conference on Cognitive Ergonomics,Inst.Nat.Recherche Inf.and Autom,eChesnay,pp.139-153..
    [164]Gustafson,T,Schafer,J.B,Konstan,J,2008.Agents in their Midst:Evauating User Adapt ation to Agent-Assisted Interfaces,Proceedings of Internationa Conference on Intelligent User Interfaces,San Francisco,CA,ACM,NewYork,pp.163-170.
    [165]Ford,M,Poe,V,Cox,J,2003.Attending behaviors of ADHD chidren in math and reading using various types of software.Journa of Computing in Chidhood Education4 (2),183-196.Association for the Advancement of Computing in Education..

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700