学习分析技术在网络课程学习中的应用实践研究
发布时间：2018-10-30 15:18
【摘要】：随着网络与通讯技术的发展，网络学习成为广大学习者接受教育的方式之一，对学习者网络在线学习行为的分析对于网络教育发展至关重要，一直以来为远程教育研究者关注的重点。Web2.0、云计算及数据可视化技术的涌现为教育数据分析提供了强有力的支持，但近年来，随着论坛、聊天室、社交网络融入网络课程学习网站中，，使得网络课程学习行为产生大量数据，一方面为深入分析网络学习者学习行为提供了数据来源，另一方面使得数据分析工作变得纷繁复杂。学习分析技术是以海量的数据为基础，利用数据挖掘的成果，对在线学习环境及学生的在线学习为对象，对学习者产生的数据和分析模型探究信息，并且对学习做出预测和建议。在大数据背景下，学习分析逐渐成为教育工作者研究的一个研究方向。 本文通过对学习分析技术在网络课程中应用的优势探讨，设计了基于Moodle平台的《多媒体课件制作》网络课程，通过学习分析技术在此网络课程中的应用实践，探索出网络课程学习者的学习行为特点，为提高学习者的学习效果、优化教师网络教学质量以及网络学习资源建设提供可视化的数据参考，并为今后的研究者提供一种思路。
[Abstract]:With the development of network and communication technology, online learning has become one of the ways for learners to receive education. The analysis of learners' online learning behavior is of great importance to the development of online education. The emergence of Web2.0, cloud computing and data visualization technologies has provided strong support for educational data analysis, but in recent years, with forums, chat rooms, The integration of social network into the network course learning website makes the online course learning behavior produce a large amount of data. On the one hand, it provides a data source for in-depth analysis of the learning behavior of online learners, on the other hand, it makes the data analysis work become complicated. Learning analysis technology is based on massive data, using the results of data mining, the online learning environment and students' online learning as the object, the data generated by learners and the analysis model to explore the information. And to make a prediction and recommendations for learning. Under the background of big data, learning analysis has gradually become a research direction for educators. This paper discusses the advantages of the application of learning analysis technology in the network course, designs the network course of multimedia courseware making based on Moodle platform, and through the application practice of learning analysis technology in this network course, This paper explores the characteristics of learning behavior of online course learners, provides a visual data reference for improving learners' learning effect, optimizing teachers' network teaching quality and constructing network learning resources, and provides a way of thinking for researchers in the future.
【学位授予单位】：东北师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393-4;G652
本文编号：2300370
[Abstract]:With the development of network and communication technology, online learning has become one of the ways for learners to receive education. The analysis of learners' online learning behavior is of great importance to the development of online education. The emergence of Web2.0, cloud computing and data visualization technologies has provided strong support for educational data analysis, but in recent years, with forums, chat rooms, The integration of social network into the network course learning website makes the online course learning behavior produce a large amount of data. On the one hand, it provides a data source for in-depth analysis of the learning behavior of online learners, on the other hand, it makes the data analysis work become complicated. Learning analysis technology is based on massive data, using the results of data mining, the online learning environment and students' online learning as the object, the data generated by learners and the analysis model to explore the information. And to make a prediction and recommendations for learning. Under the background of big data, learning analysis has gradually become a research direction for educators. This paper discusses the advantages of the application of learning analysis technology in the network course, designs the network course of multimedia courseware making based on Moodle platform, and through the application practice of learning analysis technology in this network course, This paper explores the characteristics of learning behavior of online course learners, provides a visual data reference for improving learners' learning effect, optimizing teachers' network teaching quality and constructing network learning resources, and provides a way of thinking for researchers in the future.
【学位授予单位】：东北师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393-4;G652
【参考文献】
相关期刊论文 前1条
1 顾小清;张进良;蔡慧英;;学习分析:正在浮现中的数据技术[J];远程教育杂志;2012年01期
本文编号：2300370
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