基于网络学习的在线评价系统研究
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摘要
随着计算机和网络技术的发展,网络化教学已经成为一种重要的教学手段和教学平台。网络化教学与传统教学最大的区别在于,学生在大部分时间里进行自主学习,教师无法面对面地对学生的学习进行监控。这就需要我们对网络教学中学生的学习行为和学习效果进行科学、合理的评价,使教学双方都能得到有效的反馈,从而保证整个网络教学的质量。目前,大多数的网络学习评价还只是注重在线测试,或者通过问卷调查的形式对学生的学习情况进行统计,这样做实际上是传统评价的翻版。既没有利用网络平台的技术优势,增加了教师的工作量,又存在评价信息的不真实的情况。
首先,本论文分析了网络学习、网络学习评价等基本理论。通过对学生网络学习行为分析并结合已有的网络学习评价体系,建立了一套适用于在线智能评价的指标体系,采用层次分析法为各项指标确定权重,并用加权平均法对网络学习进行综合评判。
接着,本文对评价信息的采集技术进行了深入的研究,提出了利用Web日志挖掘技术实现学生学习行为数据的采集。本论文在华中师范大学课程在线网络教学平台的基础上提出了网络学习评价系统的总体设计思想,按需求分析对系统的总体架构、功能模块、数据库等做了详细设计,并在此基础上解决了一些关键技术。最终实现系统自动对学习者学习的综合评价,以及获得评价结果的反馈。
最后,论文对今后的进一步研究提出了几点设想。
With the development of computers and network technology, Web-based teaching has become an important method and platform of effective education. The biggest difference between web-based teaching and traditional teaching is that network teaching tends to make students independent and initiative in the process of learning most of time, but teachers can not monitor the students face to face. It needs to give some scientific and reasonable evaluation of students learning behavior and learning results, as well as guarantees the quality of web-based teaching. At present, most of network-learning evaluation focus on online examination, or statistic learning behavior from the survey of questionnaires. In fact, this is pirated of traditional evaluation.
First, this thesis analyzes the basic theory such as network study, web-based learning evaluation etc. and sets up a web-based learning smart evaluation system by analyzing learning behavior, and confirms the power of the index by analytic hierarchy process. At last it adopts weighted average to synthetic evaluation.
Secondly, this thesis gives some study of technology of evaluation information collection. We will use data mining technology to extract useful information from daily studying activities recorded on the web log. This thesis put forwards the whole design thinking of web-based learning evaluation system on the basis of fully understanding course-online of CCNU. And design the evaluation system in detail from total frame, function module, database etc. Based on the requirement analysis and detailed design, this thesis involves some key technology. Realizes the synthetic evaluation of the behavior about the learner, and gives the feedback of the result.
Finally, this thesis summarizes the whole work and gives several suggestions for further research.
首先,本论文分析了网络学习、网络学习评价等基本理论。通过对学生网络学习行为分析并结合已有的网络学习评价体系,建立了一套适用于在线智能评价的指标体系,采用层次分析法为各项指标确定权重,并用加权平均法对网络学习进行综合评判。
接着,本文对评价信息的采集技术进行了深入的研究,提出了利用Web日志挖掘技术实现学生学习行为数据的采集。本论文在华中师范大学课程在线网络教学平台的基础上提出了网络学习评价系统的总体设计思想,按需求分析对系统的总体架构、功能模块、数据库等做了详细设计,并在此基础上解决了一些关键技术。最终实现系统自动对学习者学习的综合评价,以及获得评价结果的反馈。
最后,论文对今后的进一步研究提出了几点设想。
With the development of computers and network technology, Web-based teaching has become an important method and platform of effective education. The biggest difference between web-based teaching and traditional teaching is that network teaching tends to make students independent and initiative in the process of learning most of time, but teachers can not monitor the students face to face. It needs to give some scientific and reasonable evaluation of students learning behavior and learning results, as well as guarantees the quality of web-based teaching. At present, most of network-learning evaluation focus on online examination, or statistic learning behavior from the survey of questionnaires. In fact, this is pirated of traditional evaluation.
First, this thesis analyzes the basic theory such as network study, web-based learning evaluation etc. and sets up a web-based learning smart evaluation system by analyzing learning behavior, and confirms the power of the index by analytic hierarchy process. At last it adopts weighted average to synthetic evaluation.
Secondly, this thesis gives some study of technology of evaluation information collection. We will use data mining technology to extract useful information from daily studying activities recorded on the web log. This thesis put forwards the whole design thinking of web-based learning evaluation system on the basis of fully understanding course-online of CCNU. And design the evaluation system in detail from total frame, function module, database etc. Based on the requirement analysis and detailed design, this thesis involves some key technology. Realizes the synthetic evaluation of the behavior about the learner, and gives the feedback of the result.
Finally, this thesis summarizes the whole work and gives several suggestions for further research.
引文
女
1.中国互联网络发展状况统计报告.2007.
2.侯丽平.对网络学习者形成性评价及评价系统的研究与设计.硕士学位论文.2007.
3.余胜泉.基于互联网络的远程教学评价模型.开方教育研究[J].2003.01.
4.魏德生,杨雪.网络学习行为自动监控系统的设计与实现[J].教育信息.2006.01.
5.张训锋,在线教学、学习行为监控与评价系统的设计、开发与使用研究[J].新疆广播电视大学学报.2005.04.
6.张阳.基于模糊理论与层次分析法的网络教学学习评价研究.硕士学位论文.2006.
7.钟民.基于因特网的美国远程学习质量评价标准[J].2003.03.
8.Distance Learning Guidelines.http://www.qaa.ac.uk/public/dig/
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11.曹梅.网络学习中学习评价的要求及实施[J].中国远程教育.2002.
12.谢新观.远程教育概论[M].中央广播电视大学出版社.2000.01.
13.李丽.论构建远程学习评价体系[J].现代教育技术.2002.
14.杨波,陆志海.网络学习评价研究[J].周口师范学院学报.2004.03.
15.杨亮.基于网络教学的学生评价体系的构建[J].沈阳师范大学学报.2004.
16.贾应炜.Web数据挖掘技术[J].太原城市职业技术学院学报.2007.05.
17.刘革平.基于数据挖掘的远程学习评价研究.博士学位论文.2005.
18.Kosala R,Bloekeel H.WebMining Research A Survey[J].ACM SIGKDD Explorations.2000.2:1-15.
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20.Zaiane,M.Xin,J.Han,(1998).Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs.Proe of Advances in Digital Libraries Conf.Santa Barbara,CA.1998:19-29.
21.W.F.Peter.Latent semantic analysis for text-based research,behavior research methods[J]Instruments and Computers.1996:197-202.
22.黄晓斌.网络信息挖掘[M].电子工业出版社.2005.1.
23.Saaty,T.L.A sealing method for priorities in Hierarchical structures,Journal of Mathematical Psychology.1977.15(3):34-281.
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30.覃美珍.网络环境下学生学习评价的研究.硕士学位论文.2005.6.
31.张欣悦.网络教学模式的探讨与研究[J].科技信息.2008.01.
32.何克抗.建构主义--革新传统教学的理论基础[J].电化教育研究.1997.01
33.彭文辉,杨宗凯.网络学习行为分析及其模型研究[J].中国电化教育.2006.10.
34.谢维奇,翟璐璐.基于Web日志的远程教育学员网上学习行为的识别[J].福建电脑.2007.2.
35.王志强.基于远程教育网站的信息采集与数据挖掘技术研究.2007.10.
36.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.2007.
37.许振和,范智勇.网上答疑系统的研究与设计[J].莆田学院学报.2006.04.
38.陆峰,郝峰.基于用户角色流程的自助型网络考试系统设计与实现[J].远程教育技术.2006.
39.王莲芬,许树柏.层次分析法引论[M].中国人民出版社.1990.
40.陈建军.基于J2EE的现代远程教育系统的研究与实现.2003.05.
41.李凡,丁振国,陈静等.基于JSP建立电子商务网站的核心技术[J].计算机应用研究.2002.07.
42.例子参见:http://www.jspcn.net/htmlnews/11049300252341497.html.
43.[美]Sue Spielman著,马树奇译.J2EE 1.4编程指南[M].电子工业出版.2005.05.
1.中国互联网络发展状况统计报告.2007.
2.侯丽平.对网络学习者形成性评价及评价系统的研究与设计.硕士学位论文.2007.
3.余胜泉.基于互联网络的远程教学评价模型.开方教育研究[J].2003.01.
4.魏德生,杨雪.网络学习行为自动监控系统的设计与实现[J].教育信息.2006.01.
5.张训锋,在线教学、学习行为监控与评价系统的设计、开发与使用研究[J].新疆广播电视大学学报.2005.04.
6.张阳.基于模糊理论与层次分析法的网络教学学习评价研究.硕士学位论文.2006.
7.钟民.基于因特网的美国远程学习质量评价标准[J].2003.03.
8.Distance Learning Guidelines.http://www.qaa.ac.uk/public/dig/
9.Kadn Anna Hummel,Helmut Hlavaes.Anytime Anywhere Learning behavior Using a Web-Based Platform for a University Lecture.[EB/OL].www.ani.univie.ac.at/～hlavacs/publications/ssgrr_winter03.pdf.2006-3-1
10.Wan-I Leel,Bih-Yaw Shih ete.The application of KANO's model for improving Web-based learning performance.32~(nd)ASEE/IEEE Frontiers in Education Conference[c].2002.
11.曹梅.网络学习中学习评价的要求及实施[J].中国远程教育.2002.
12.谢新观.远程教育概论[M].中央广播电视大学出版社.2000.01.
13.李丽.论构建远程学习评价体系[J].现代教育技术.2002.
14.杨波,陆志海.网络学习评价研究[J].周口师范学院学报.2004.03.
15.杨亮.基于网络教学的学生评价体系的构建[J].沈阳师范大学学报.2004.
16.贾应炜.Web数据挖掘技术[J].太原城市职业技术学院学报.2007.05.
17.刘革平.基于数据挖掘的远程学习评价研究.博士学位论文.2005.
18.Kosala R,Bloekeel H.WebMining Research A Survey[J].ACM SIGKDD Explorations.2000.2:1-15.
19.M.S.Chen,J.S.Park,P.S.Yu.Data Mining for Path Traversal Patterns in a Web Environment.Proe of the 161h Int'l Conf on Distributed Computing Systems.HongKong.1996.385-390.
20.Zaiane,M.Xin,J.Han,(1998).Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs.Proe of Advances in Digital Libraries Conf.Santa Barbara,CA.1998:19-29.
21.W.F.Peter.Latent semantic analysis for text-based research,behavior research methods[J]Instruments and Computers.1996:197-202.
22.黄晓斌.网络信息挖掘[M].电子工业出版社.2005.1.
23.Saaty,T.L.A sealing method for priorities in Hierarchical structures,Journal of Mathematical Psychology.1977.15(3):34-281.
24.Saaty,T.L.The Analytic Hierarchy Process.McGrawHill.New York.1980.
25.MartinFowler,David Rice,et al.Patterns of enterprise application architecture.Pearson.2003.
26.SHEN DEREKYANG Put JSF to wrok[EB/OL].2004-06.http://www.javaworld.com/javaworld/jw-07-2004/jw-0719-jsf-p.html.
27.Springframework.org.Spring Framework Documentation[EB/OL].2005.http://www.springframework.org/documentation.
28.梁铭,马怡佳.基于JSF和Spring的WEB应用架构[J].科技信息.2007.20.
29.Hibernate org.Hibernate Reference Documentation[EB/OL].2005.http://ww.hibernate.org/hib-docs/v3/reference/en//html/.
30.覃美珍.网络环境下学生学习评价的研究.硕士学位论文.2005.6.
31.张欣悦.网络教学模式的探讨与研究[J].科技信息.2008.01.
32.何克抗.建构主义--革新传统教学的理论基础[J].电化教育研究.1997.01
33.彭文辉,杨宗凯.网络学习行为分析及其模型研究[J].中国电化教育.2006.10.
34.谢维奇,翟璐璐.基于Web日志的远程教育学员网上学习行为的识别[J].福建电脑.2007.2.
35.王志强.基于远程教育网站的信息采集与数据挖掘技术研究.2007.10.
36.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.2007.
37.许振和,范智勇.网上答疑系统的研究与设计[J].莆田学院学报.2006.04.
38.陆峰,郝峰.基于用户角色流程的自助型网络考试系统设计与实现[J].远程教育技术.2006.
39.王莲芬,许树柏.层次分析法引论[M].中国人民出版社.1990.
40.陈建军.基于J2EE的现代远程教育系统的研究与实现.2003.05.
41.李凡,丁振国,陈静等.基于JSP建立电子商务网站的核心技术[J].计算机应用研究.2002.07.
42.例子参见:http://www.jspcn.net/htmlnews/11049300252341497.html.
43.[美]Sue Spielman著,马树奇译.J2EE 1.4编程指南[M].电子工业出版.2005.05.
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