通过主题检测可视化异步论坛数据

Simon Y. K. Li, G. Wong
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引用次数: 4

摘要

可视化是学习分析的重要组成部分,普通教师可以通过易于理解的图形(如keygraph)理解文本学习的深度(如论坛)。然而,开放源码工具通常没有完全开发,并附带插件到常见的学习管理系统(如Moodle)。在本文中,我们将介绍基于Li & Wong(2016)和Wong & Li(2016)扩展的正在进行的项目学习分析的初步结果,这为我们实验的下一阶段设定了方向,旨在更好地应用教育技术,帮助教师通过分析来评估学生的学习过程。在这个项目中,将学生论坛的内容提取成文本文件,导入到Oshawa Lab (http://www.panda.sys.t.utokyo.ac.jp/KeyGraph/)开发的一个名为Polaris的软件工具中,生成关键字图,将挖掘模式的场景可视化。然而,由于关键字难以被人类理解,因此需要更有效的工具。在我们最新的实验中,我们部署了新的文本挖掘算法和数据可视化工具来直观地改进教育分析。
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Visualizing the asynchronous discussion forum data with topic detection
Visualization is a crucial part in learning analytics, where ordinary teachers could comprehend the depth of textual learning (e.g. discussion forum) through the easy-to-interpret figures (e.g. keygraph). However, the open source tools are often not fully developed with plug-in to common learning management system such as Moodle. In this paper, we are going to present the preliminary results of an ongoing project learning analytics extended based on Li & Wong (2016) and Wong & Li (2016), which sets the direction for the next stage of our experiment to aim for a better educational technology application in helping teacher evaluate the learning process of students through analytics. In this project, contents of discussion forums of students were extracted into text files, which were imported to a software tool called Polaris developed by Oshawa Lab (http://www.panda.sys.t.utokyo.ac.jp/KeyGraph/) to generate keygraphs to visualize the scenarios for mining patterns. However, as keygraphs are difficult to comprehend by humans and therefore, more effective tools are needed. In our latest experiments, we deployed novel text mining algorithms and data visualization tools to improve educational analytics intuitively.
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