大学生网络学习行为研究及其分析系统的设计与实现

发布时间：2018-06-17 06:55

本文选题：大学生 + 网络学习行为　；参考：《中南大学》2008年硕士论文

【摘要】： 随着电脑的普及和多媒体网络技术的发展,因特网上浩瀚的学习资源及其不同于传统学习的特点,吸引了越来越多的高校大学生通过计算机网络进行学习。由于学习者的网络技能和学习风格等的不同,研究大学生的网络学习行为将有效提高他们的网络学习行为的质量和效率。本研究主要利用文献分析法和实证分析法相结合的方法来研究大学生的网络学习行为,利用Web数据挖掘等技术对大学生的网络学习行为数据进行统计分析,并对其做出相应的评价和反馈。论文首先探讨了课题的研究背景、现状和意义,阐述了网络学习行为的理论基础——行为科学理论;通过分析国内外相关文献资料总结了网络学习行为的概念、特点、体系和类型,并且发放调查问卷,统计分析出当前影响高校大学生网络学习行为的各种因素;接着,构建了网络学习行为分析系统模型并详细设计了分角色登录的各个子系统模块;在介绍了系统的开发环境及所用的关键技术后,重点介绍了对学生的网络浏览学习行为的采集、分析、评价和反馈的实现;最后,对本论文研究的主要工作进行了总结,并指出了系统存在的不足和将来努力的方向。
[Abstract]:With the popularization of computer and the development of multimedia network technology, the vast learning resources on the Internet and their characteristics different from traditional learning attract more and more college students to study through computer network. Because of the differences of learners' network skills and learning styles, the study of online learning behavior of college students will effectively improve the quality and efficiency of their online learning behaviors. This research mainly uses the literature analysis method and the empirical analysis method to study the university student's network learning behavior, uses the Web data mining technology to carry on the statistical analysis to the university student's network learning behavior data. And to make the corresponding evaluation and feedback. This paper first discusses the research background, current situation and significance of the subject, expounds the theoretical basis of e-learning behavior-behavioral science theory, summarizes the concept and characteristics of e-learning behavior by analyzing the relevant literature at home and abroad. System and type, and the distribution of questionnaires, statistical analysis of the current impact of college students network learning behavior of various factors; then, After introducing the development environment of the system and the key technologies used in the system, this paper mainly introduces the collection of the students' online browsing learning behavior, and designs the model of the network learning behavior analysis system and the detailed design of each subsystem module of the network learning behavior, and introduces the development environment of the system and the key technologies used in the system. Finally, the main work of this paper is summarized, and the shortcomings of the system and the direction of future efforts are pointed out.
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2008
【分类号】：G434

【引证文献】