论文标题
Webwork日志文件作为学生作业行为的丰富数据来源
WeBWorK log files as a rich source of data on student homework behaviours
论文作者
论文摘要
在线家庭作业系统网络工作已在数百所大学成功使用。尽管它很受欢迎，但Webwork系统并未向讲师提供学生绩效的详细指标。在本文中，我们说明了网络工作系统日志文件的分析如何提供信息，例如学生在网络工作分配上花费的时间以及他们在问题上持续多长时间。我们通过将日志文件事件结合到学生活动会议中来估算分配时间花费的时间。通过与从学习管理系统获得的另一个时间估计值交叉引用来确认该方法的有效性。作为这些绩效指标的应用，我们将网络工程分数不到50％的学生与第一年的微积分课程中的其余部分进行了对比。这表明，平均而言，失败的家庭作业的学生以后开始作业，进行较短的活动课程，并且在解决问题时持续不断。最后，我们通过讨论网络工作分析对教学实践的含义以及本科数学教育中学习分析的未来的含义。
The online homework system WeBWorK has been successfully used at several hundred colleges and universities. Despite its popularity, the WeBWorK system does not provide detailed metrics of student performance to instructors. In this article, we illustrate how an analysis of the log files of the WeBWorK system can provide information such as the amount of time students spend on WeBWorK assignments and how long they persist on problems. We estimate the time spent on an assignment by combining log file events into sessions of student activity. The validity of this method is confirmed by cross referencing with another time estimate obtained from a learning management system. As an application of these performance metrics, we contrast the behaviour of students with WeBWorK scores less than 50% with the remainder of the class in a first year Calculus course. This reveals that on average, the students who fail their homework start their homework later, have shorter activity sessions, and are less persistent when solving problems. We conclude by discussing the implications of WeBWorK analytics for instructional practices and for the future of learning analytics in undergraduate mathematics education.
