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The Impact of Pair Programming on the Performance of Slow-Paced Students: A Study on Data Structure Courses

机译:对规划对缓慢慢速学生性能的影响:数据结构课程的研究

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A study shows that pair programming can help slow-paced students in completing Introductory Programming assessment. This paper replicates the study on Data Structure course, in which the completion of the assessments does not only rely on logic but also theoretical knowledge. The aim is to check whether pair programming is still helpful on such new assessment characteristics. Three classes of Data Structure course with 14 teaching weeks and a total of 72 undergraduate students are considered in this study. Two of the classes are about Basic Data Structure while another one is the advanced one. Our evaluation shows that pair programming can help slow-paced students in both pair and individual academic performance. It also increases overall academic performance if the tasks are more logic oriented. Nevertheless, no benefits provided for fast-paced students paired to the slow-paced ones, even though all students appreciate the use of pair programming.
机译:一项研究表明,对编程可以帮助缓慢的学生完成介绍性编程评估。本文重复了数据结构课程的研究,其中评估的完成不仅依赖于逻辑,还依赖于理论知识。目的是检查配对编程是否仍然有助于这种新的评估特征。这项研究中考虑了三个教学周和共有72名本科生的三类数据结构课程。其中两个类是关于基本数据结构的,而另一个类是先进的数据结构。我们的评估表明,配对编程可以帮助慢慢节奏的学生在双对和个人学术表现。如果任务导向的逻辑更具逻辑,它也会增加整体学术表现。尽管如此,即使所有学生都欣赏对对编程的使用,也没有为快节奏的学生提供的福利。

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