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Who Does What? Work Division and Allocation Strategies of Computer Science Student Teams

机译:谁做了什么? 计算机科学生队的工作司和分配策略

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Collaboration skills are important for future software engineers. In computer science education, these skills are often practiced through group assignments, where students develop software collaboratively. The approach that students take in these assignments varies widely, but often involves a division of labour. It can then be argued whether collaboration still takes place. The discipline of computing education is especially interesting in this context, because some of its specific features (such as the variation in entry skill level and the use of source code repositories as collaboration platforms) are likely to influence the approach taken within groupwork. The aim of this research is to gain insight into the work division and allocation strategies applied by computer science students during group assignments. To this end, we interviewed twenty students of four universities. The thematic analysis shows that students tend to divide up the workload to enable working independently, with pair programming and code reviews being often employed. Motivated primarily by grade and efficiency factors, students choose and allocate tasks primarily based on their prior expertise and preferences. Based on our findings, we argue that the setup of group assignments can limit students’ motivation for practicing new software engineering skills, and that interventions are needed towards encouraging experimentation and learning.
机译:合作技能对于未来的软件工程师来说很重要。在计算机科学教育中,这些技能通常通过小组作业来实践,学生协同开发软件。学生参加这些作业的方法广泛变化,但往往涉及分工。然后可以争辩它是否仍然发生合作。在这种情况下,计算教育的学科特别有趣,因为其一些特定功能(例如进入技能水平的变化以及源代码存储库作为协作平台)可能会影响分组内采取的方法。本研究的目的是深入了解计算机科学生在组分配期间应用的工作司和分配策略。为此,我们采访了四所大学的二十名学生。主题分析表明,学生倾向于将工作量分开以便独立工作,具有经常使用的配对编程和代码评论。主要按成绩和效率因素而激励,学生选择和分配任务主要是根据其先前的专业知识和偏好。根据我们的调查结果,我们认为集团分配的设置可以限制学生对练习新的软件工程技能的动机,并且需要对令人鼓舞的实验和学习来进行干预措施。

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