基于网络学习行为分析的网络学习风格与学习偏好挖掘模型研究
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摘要
随着终生学习理论及大力发展职业教育战略的实施,现代远程教育得到飞速发展。而网络学习能满足学习者随时随地自由安排学习内容的需要,网络教育在现代远程教育当中尤其受到人们的欢迎。人们对网络教育的研究逐渐地由原来对课程开发转为对网络学习者的网络学习行为特点的研究,从而可以对网络学习者的学习风格和偏好进行分析,进而能更进一步对网络学习者的学习进行监控和评价并为网络学习者提供更好的学习支持服务方面。目前国内学者对网络学习行为的分析和研究方面的工作做的较少,尤其是基于网络学习行为的分析来确定学习者的学习风格与学习偏好更少。随着数据挖掘技术的成熟,网络学习行为也逐渐能被采集,因此基于对网络学习行为进行挖掘和分析,来确定网络学习者的学习风格与学习偏好成为可能。
本文着重基于网络学习行为分析的网络学习风格与学习偏好挖掘模型研究。全文共分为六章,各个章节的内容如下:
第一章对论文的选题背景、国内外的研究状况、必要性、可行性以及采用的研究方法和技术路线进行阐述。
第二章是基于网络学习行为分析的学习风格与学习偏好挖掘模型涉及的理论基础,分析了行为科学与行为主义理论、学习风格与学习偏好理论、网络学习行为理论以及数据挖掘理论。
第三章研究网络学习行为与学习风格及学习偏好之间的关系。通过对学习风格与学习偏好进行分析,从学习风格与学习偏好的社会、心理、生理、情感、环境这五个维度将网络学习行为相应地划分为五个维度,从而确定各个维度的学习风格,构建网络学习者学习风格与学习偏好的综合模型。
第四章对网络学习风格与学习偏好挖掘模型的构建原则、意义、功能结构以及模型的建构进行研究。
第五章对网络学习风格与学习偏好挖掘模型的实现进行研究。分析了挖掘模型的组成模块,并对各个模块的功能结构以及技术进行分析研究。
第六章是论文的总结。本章节对网络学习风格与学习偏好挖掘模型中在理论上及在具体技术实现上存在的不足进行了说明,并对下一步的工作进行了展望。
Great changes have taken in Modern Distance Education with development about the theory of lifelong learning and the implementation about the strategy of vocational education.As we know,learner needs in learning content can be freedomly met at anywhere and anytime by e-learning,so in particular e-learning in the modern distance education is warmly welcomed.The study of network education is gradually being transferred from the development of curriculum to learners on the characteristics of learners' e-learning behavior;at the same time learning styles and preferences of e-learners are also analysized,which causes further study in monitoring and evaluation of network learners so as to better learning support services can be provided to them.At present,the analysis and research in e-learning behavior is little,especially,how to determine the learner's learning style and learning preferences based on the analysis of e-learning behavior is less.Nowadays,it may become true of determining the learning style and preferences according to the mining and analysis of e-learning behavior,as the mature of data mining and the collection of e-learning behavior. The paper focuses on the content in e-learning style and preferences mining model based on the analysis of e-learning behavior.The full paper can be divided into six chapters,each chapter is described as follows:
In ChapterⅠ,the background of the paper,studies at home and abroad,the need and feasibility as well as the adoption of methods and techniques of research is demonstrated.
In ChapterⅡ,the basis theories of learning styles and preferences mining model based on the analysis of e-learning behavior are described.So,the theories of behavioral science and behaviorism,learning style and preferences,e-learning behavior,as well as the data mining are analisized.
ChapterⅢis the relationship between e-learning behavior and learning style and preference.In the part e-learning behavior is divided into five dimensions according to the factors of learning style and preferences in society,psychology,physics,emotion, environment based on the analysis of them.Then learning style of each dimension is determined and the learning preferences integrated model of network learners is constructed.
ChapterⅣis the study in principles,significance,functional structure and model construction of e-learning style and preferences mining model.
In ChapterⅤis the study of realization on e-learning styles and preferences mining model.The composition modules of mining model as well as the structure,function and related technologies of each module are demonstrated.
ChapterⅥis a summary of the paper.The weaknesses on mining model of e-learning style and preferences in the theory and the realization of specific technology in the section are described.At last,what we will do in future is also listed.
本文着重基于网络学习行为分析的网络学习风格与学习偏好挖掘模型研究。全文共分为六章,各个章节的内容如下:
第一章对论文的选题背景、国内外的研究状况、必要性、可行性以及采用的研究方法和技术路线进行阐述。
第二章是基于网络学习行为分析的学习风格与学习偏好挖掘模型涉及的理论基础,分析了行为科学与行为主义理论、学习风格与学习偏好理论、网络学习行为理论以及数据挖掘理论。
第三章研究网络学习行为与学习风格及学习偏好之间的关系。通过对学习风格与学习偏好进行分析,从学习风格与学习偏好的社会、心理、生理、情感、环境这五个维度将网络学习行为相应地划分为五个维度,从而确定各个维度的学习风格,构建网络学习者学习风格与学习偏好的综合模型。
第四章对网络学习风格与学习偏好挖掘模型的构建原则、意义、功能结构以及模型的建构进行研究。
第五章对网络学习风格与学习偏好挖掘模型的实现进行研究。分析了挖掘模型的组成模块,并对各个模块的功能结构以及技术进行分析研究。
第六章是论文的总结。本章节对网络学习风格与学习偏好挖掘模型中在理论上及在具体技术实现上存在的不足进行了说明,并对下一步的工作进行了展望。
Great changes have taken in Modern Distance Education with development about the theory of lifelong learning and the implementation about the strategy of vocational education.As we know,learner needs in learning content can be freedomly met at anywhere and anytime by e-learning,so in particular e-learning in the modern distance education is warmly welcomed.The study of network education is gradually being transferred from the development of curriculum to learners on the characteristics of learners' e-learning behavior;at the same time learning styles and preferences of e-learners are also analysized,which causes further study in monitoring and evaluation of network learners so as to better learning support services can be provided to them.At present,the analysis and research in e-learning behavior is little,especially,how to determine the learner's learning style and learning preferences based on the analysis of e-learning behavior is less.Nowadays,it may become true of determining the learning style and preferences according to the mining and analysis of e-learning behavior,as the mature of data mining and the collection of e-learning behavior. The paper focuses on the content in e-learning style and preferences mining model based on the analysis of e-learning behavior.The full paper can be divided into six chapters,each chapter is described as follows:
In ChapterⅠ,the background of the paper,studies at home and abroad,the need and feasibility as well as the adoption of methods and techniques of research is demonstrated.
In ChapterⅡ,the basis theories of learning styles and preferences mining model based on the analysis of e-learning behavior are described.So,the theories of behavioral science and behaviorism,learning style and preferences,e-learning behavior,as well as the data mining are analisized.
ChapterⅢis the relationship between e-learning behavior and learning style and preference.In the part e-learning behavior is divided into five dimensions according to the factors of learning style and preferences in society,psychology,physics,emotion, environment based on the analysis of them.Then learning style of each dimension is determined and the learning preferences integrated model of network learners is constructed.
ChapterⅣis the study in principles,significance,functional structure and model construction of e-learning style and preferences mining model.
In ChapterⅤis the study of realization on e-learning styles and preferences mining model.The composition modules of mining model as well as the structure,function and related technologies of each module are demonstrated.
ChapterⅥis a summary of the paper.The weaknesses on mining model of e-learning style and preferences in the theory and the realization of specific technology in the section are described.At last,what we will do in future is also listed.
引文
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[4]黄海波.网络环境下远程开放教育学习者特征分析[J].广东广播电视大学学报,2007(02)
[5]陆宏.网络教学中基于Kolb学习风格模型的实证研究[J].中国电化教育,2007(03)
[6]刘瑞.基于远程学习者学习风格研究的学习与探索[J].内蒙古电大学刊,2008(02)
[7]李念.基于网络学习行为分析的评价模型研究[D].武汉.华中师范大学.2006:20-27
[8]田朝晖.行为学、行为科学与行为主义辨析[J].湖南大学学报(社会科学版),1994(04)
[9]赵慧军.活动理论的产生、发展及前景[J].东北师大学报(哲社版),1997(01)
[10]Hung D.Activity Theory as Framework for Project Work in Learning Environments.Education Technology,2000,40(3/4)
[11]杨开城.以学习活动为中心的教学设计理论:教学设计理论的新探索[M].北京:电子工业出版社,2005
[12]康淑敏.学习风格理论_西方研究综述[J].山东外语教学,2003(03)
[13]夏惠贤.论邓恩学习风格模型及其教学意蕴[J]外国中小学教育,2006(06)
[14]Reid J.Learning Styles in the EsL/EFL Classroom[M].北京:外语教学与研究出 版社,2002
[15]谭顶良.学习风格理论[M].南京:江苏教育出版社,1995
[16]何克抗,郑永柏,谢幼如.教学系统设计[M].北京.北京师范大学出版社,2002:65-66
[17]谭顶良.学习风格理论应用于教育心理学教学的尝试[J].心理科学,1996(02)
[18]严加平,夏惠贤.基于经验学习的学习风格研究述评[J].教育科学.2006(01)
[19]孙可平.现代教学设计纲要[M].西安:陕西人民教育出版社,1998:224-229
[20]彭文辉,杨宗凯,黄克斌.网络学习行为分析及其模型研究[J].中国电化教育.2006(10)
[21]Jiawei Han,Miehiline Kamber著,范明,孟小峰等译.数据挖掘概念与技术[M].北京:机械工业出版社,2001:157-184
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[23]王贵芹,黄道.数据挖掘技术综述[J].电脑应用技术,2007(02)
[24]阴晋岭.数据挖掘技术概论[J].信息科技.2008(05)
[25]偏差分析[EB/OL].http://baike.baidu.com/view/1934073.htm
[26]李云.数据挖掘技术在中学教务管理系统中的应用研究[M].贵阳:贵州大学.2008:10-11
[27]赵凤荣.基于聚类和矩阵的关联规则挖掘研究[M].呼和浩特:内蒙古大学.2008:7-8
[28]张瑞雪.数据挖掘中关联规则算法研究及应用[M].哈尔滨:哈尔滨工程大学.2006:5-7
[29]于水英,丁华福,付志超.基于遗传算法和模糊聚类的文本分类研究[J].计算机技术与发展.2009(04)
[30]吉根林.遗传算法研究综述[J].计算机应用与软件.2004(02)
[31]吴玫,陆金桂.遗传算法的研究进展综述[J].机床与液压2008(03)
[32]高巨山,任国强,安忠,郭健.基于Web使用挖掘的个性化网络教育模型研究[J].中国教育信息化.2008
[33]王巧玲.基于Web服务的网络学习行为采集与集成初步设计与实现[M].武汉:华中师范大学.2007:7
[34]吉根林,孙志辉.Web挖掘技术研究[J].计算机工程.2002(10)
[35]范莉莎,刘刚,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(06)
[36]许建潮.Web挖掘中若干问题的研究[M].长春:吉林大学.2005:8-15
[37]王宏雁,王琪.多层多维关联规则在交通事故研究中的应用[J].交通科学与工程.2009(03)
[38]卜耀华.关联规则挖掘技术在零售业中的应用[J].商场现代化.2009(04)
[39]张友志,钱萌,程玉胜.基于关联规则web日志挖掘方法的研究[J].安庆师范学院学报(自然科学版).2006(02)
[40]林柏双.关联规则聚类的外贸业务交叉销售系统设计[J].福建工程学院学报.2009(02)
[41]石晓爱,左保河.数据挖掘关联规则算法在移动通讯系统分析方面的应用[J].电脑与电信.2009(03)
[2]Jia-Jiunn Lo,Pai-Chuan Shu.Identification of learning styles online by observing learners' browsing behaviour through a neural network,32nd ASEE/EEEE Frontiers in Education Conference[C].2002
[3]郝丹,张伟远,陈丽.远程学习者学习风格测量方法的研究[J].开放教育研究,2005(01)
[4]黄海波.网络环境下远程开放教育学习者特征分析[J].广东广播电视大学学报,2007(02)
[5]陆宏.网络教学中基于Kolb学习风格模型的实证研究[J].中国电化教育,2007(03)
[6]刘瑞.基于远程学习者学习风格研究的学习与探索[J].内蒙古电大学刊,2008(02)
[7]李念.基于网络学习行为分析的评价模型研究[D].武汉.华中师范大学.2006:20-27
[8]田朝晖.行为学、行为科学与行为主义辨析[J].湖南大学学报(社会科学版),1994(04)
[9]赵慧军.活动理论的产生、发展及前景[J].东北师大学报(哲社版),1997(01)
[10]Hung D.Activity Theory as Framework for Project Work in Learning Environments.Education Technology,2000,40(3/4)
[11]杨开城.以学习活动为中心的教学设计理论:教学设计理论的新探索[M].北京:电子工业出版社,2005
[12]康淑敏.学习风格理论_西方研究综述[J].山东外语教学,2003(03)
[13]夏惠贤.论邓恩学习风格模型及其教学意蕴[J]外国中小学教育,2006(06)
[14]Reid J.Learning Styles in the EsL/EFL Classroom[M].北京:外语教学与研究出 版社,2002
[15]谭顶良.学习风格理论[M].南京:江苏教育出版社,1995
[16]何克抗,郑永柏,谢幼如.教学系统设计[M].北京.北京师范大学出版社,2002:65-66
[17]谭顶良.学习风格理论应用于教育心理学教学的尝试[J].心理科学,1996(02)
[18]严加平,夏惠贤.基于经验学习的学习风格研究述评[J].教育科学.2006(01)
[19]孙可平.现代教学设计纲要[M].西安:陕西人民教育出版社,1998:224-229
[20]彭文辉,杨宗凯,黄克斌.网络学习行为分析及其模型研究[J].中国电化教育.2006(10)
[21]Jiawei Han,Miehiline Kamber著,范明,孟小峰等译.数据挖掘概念与技术[M].北京:机械工业出版社,2001:157-184
[22]数据挖掘技术[EB/OL].http://baike.baidu.com/view/49979.htm
[23]王贵芹,黄道.数据挖掘技术综述[J].电脑应用技术,2007(02)
[24]阴晋岭.数据挖掘技术概论[J].信息科技.2008(05)
[25]偏差分析[EB/OL].http://baike.baidu.com/view/1934073.htm
[26]李云.数据挖掘技术在中学教务管理系统中的应用研究[M].贵阳:贵州大学.2008:10-11
[27]赵凤荣.基于聚类和矩阵的关联规则挖掘研究[M].呼和浩特:内蒙古大学.2008:7-8
[28]张瑞雪.数据挖掘中关联规则算法研究及应用[M].哈尔滨:哈尔滨工程大学.2006:5-7
[29]于水英,丁华福,付志超.基于遗传算法和模糊聚类的文本分类研究[J].计算机技术与发展.2009(04)
[30]吉根林.遗传算法研究综述[J].计算机应用与软件.2004(02)
[31]吴玫,陆金桂.遗传算法的研究进展综述[J].机床与液压2008(03)
[32]高巨山,任国强,安忠,郭健.基于Web使用挖掘的个性化网络教育模型研究[J].中国教育信息化.2008
[33]王巧玲.基于Web服务的网络学习行为采集与集成初步设计与实现[M].武汉:华中师范大学.2007:7
[34]吉根林,孙志辉.Web挖掘技术研究[J].计算机工程.2002(10)
[35]范莉莎,刘刚,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(06)
[36]许建潮.Web挖掘中若干问题的研究[M].长春:吉林大学.2005:8-15
[37]王宏雁,王琪.多层多维关联规则在交通事故研究中的应用[J].交通科学与工程.2009(03)
[38]卜耀华.关联规则挖掘技术在零售业中的应用[J].商场现代化.2009(04)
[39]张友志,钱萌,程玉胜.基于关联规则web日志挖掘方法的研究[J].安庆师范学院学报(自然科学版).2006(02)
[40]林柏双.关联规则聚类的外贸业务交叉销售系统设计[J].福建工程学院学报.2009(02)
[41]石晓爱,左保河.数据挖掘关联规则算法在移动通讯系统分析方面的应用[J].电脑与电信.2009(03)