Experience

Kyu Han Koh, Eric Fouh, Mohammed F. Farghally, Hossameldin Shahin, C. Shaffer
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引用次数: 6

Abstract

We present lessons learned related to data collection and analysis from 5 years of experience with the eTextbook system OpenDSA. The use of such cyberlearning systems is expanding rapidly in both formal and informal educational settings. Although the precise issues related to any such project are idiosyncratic based on the data collection technology and goals of the project, certain types of data collection problems will be common. We begin by describing the nature of the data transmitted between the student’s client machine and the database server, and our initial database schema for storing interaction log data. We describe many problems that we encountered, with the nature of the problems categorized as syntactic-level data collection issues, issues with relating events to users, or issues with tracking users over time. Relating events to users and tracking the time spent on tasks are both prerequisites to converting syntactic-level interaction streams to semantic-level behavior needed for higher-order analysis of the data. Finally, we describe changes made to our database schema that helped to resolve many of the issues that we had encountered. These changes help advance our ultimate goal of encouraging a change from ineffective learning behavior by students to more productive behavior.
经验
我们介绍了从5年的电子教科书系统OpenDSA的数据收集和分析经验中获得的经验教训。在正规和非正规教育环境中,这种网络学习系统的使用正在迅速扩大。尽管与任何此类项目相关的确切问题都是基于项目的数据收集技术和目标的特殊问题,但某些类型的数据收集问题将是常见的。我们首先描述在学生的客户机机器和数据库服务器之间传输的数据的性质,以及存储交互日志数据的初始数据库模式。我们描述了遇到的许多问题,并将问题的性质归类为语法级数据收集问题、与用户相关的事件问题或随时间跟踪用户的问题。将事件与用户关联起来以及跟踪在任务上花费的时间都是将语法级交互流转换为数据高阶分析所需的语义级行为的先决条件。最后,我们描述了对数据库模式所做的更改,这些更改有助于解决我们遇到的许多问题。这些变化有助于推进我们的最终目标,即鼓励学生从无效的学习行为转变为更有成效的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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