一个了解学生如何学习编程的在线计算机科学教育平台

Suin Kim, Jae Won Kim, Jungkook Park, Alice H. Oh
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引用次数: 10

摘要

我们介绍Elice,一个在线CS(计算机科学)教育平台,和Elivate,一个从Elice获取学生学习数据的系统,并通过为编程教育量身定制的教育分类来推断他们的进步。Elice详细记录了学生的学习活动,比如在学生完成编程练习的过程中对代码的中间修订。有了这些数据,Elivate通过一个教育分类法来识别每个学生的进步,这个分类法组织了学习的中间阶段,这样分类法就可以用来评估学生的进步,以及设计和改进课程材料和结构。通过1,000名学生生成的超过240,000个中间源代码,我们展示了Elice和Elivate的实用性。我们提出的案例研究证实,将学生的行为分类到分类法的不同步骤中,可以更好地理解助教的帮助和学生表现的影响。
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Elice: An online CS Education Platform to Understand How Students Learn Programming
We present Elice, an online CS (computer science) education platform, and Elivate, a system for taking student learning data from Elice and infers their progress through an educational taxonomy tailored for programming education. Elice captures detailed student learning activities, such as the intermediate revisions of code as students make progress toward completing their programming exercises. With those data, Elivate recognizes each student's progression through an education taxonomy which organizes intermediate stages of learning such that the taxonomy can be used to evaluate student progress as well as to design and improve course materials and structure. With more than 240,000 intermediate source codes generated by 1,000 students, we demonstrate the practicality of the Elice and Elivate. We present case studies that confirm that categorizing student actions into the different steps of the taxonomy results in better understanding of the effect of TA's assist and student's performance.
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