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Work in progress #x2014; Issues involved in analyzing student activity in the introductory sequence of computing courses

机译:正在进行的工作 - 在介绍计算课程序列中分析学生活动所涉及的问题

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Instructors of introductory computing courses have an intuitive feel for how students are spending their time learning, but there is little quantitative data in this area. Therefore we are studying student effort in three classes across two institutions to look for trends and possible differences by gender, background, course emphasis (for CS majors or not), institution/environment, etc. Students were asked to log their time in various categories and respond to a survey on their perceptions of the logging process. Several obstacles to an effective study have been identified, including student motivation, accuracy of data, and difficulty capturing data. Experience indicates our study could be improved by motivating students better, using courses stable through the study period, using an effective logging mechanism, and providing consistent oversight of student logging throughout the term. This paper presents initial results and discusses some barriers to accurate data collection and analysis.
机译:介绍计算课程的教师对学生在学习时间学习的情况下有直观的感受,但该领域几乎没有数量数据。因此,我们正在研究两个机构的三个课程中的学生努力,以寻找性别,背景,课程重点(对于CS专业或没有),机构/环境等。学生被要求在各个类别中登录他们的时间并回答关于他们对伐木过程的看法的调查。已经确定了有效研究的几个障碍,包括学生动机,数据准确性和难以捕获数据。经验表明,我们的研究可以通过促进学生更好的激励学生来改善,使用课程通过研究时期稳定,并使用有效的测井机制,并提供一致的监督学生登录的术语。本文提出了初步结果,并讨论了准确的数据收集和分析的一些障碍。

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