SALP:一个可扩展的自动评分系统,用于学习编程-一个正在进行的工作

Diego Calderón, Erick Petersen, Oscar Rodas
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引用次数: 1

摘要

编程课程对学生来说很难,对老师来说也很难,因为手工给每个学生的作业打分需要花费大量的时间,而且需要不同类型的有效解决方案。此外,还有其他与人工评分作业相关的问题,例如完全客观和均匀的评分。因此,学生和老师都不能尽快得到反馈,以便采取行动,并在每次作业中加强表现较差的主题。最后,mooc的日益普及使得手动评分不再可行。为此,提出了一个可扩展的自动评分系统,以便为学生提供更快的反馈,并帮助教师评估作业。我们的建议可以用于学习不同的编程语言,如Java, Python, C, c#和Ruby。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SALP: A Scalable Autograder System for Learning Programming - A Work in Progress
Programming courses can be hard for students, but also for teachers, because of the huge amount of time that takes to manually grade each student’s assignment and the different kind of valid solutions. Moreover, there are other problems related to manually grade assignments such as completely objective and homogeneous grading. In consequence, both students and teachers don’t get feedback as fast as they should in order to take action and reinforce the topics with lower performance on each assignment. Finally, the increasing popularity of MOOCs makes manually grading no longer viable. To this aim, a scalable autograder system is proposed in order to provide students with faster feedback and help teachers with the evaluation of assignments. Our proposal can be used for learning different programming languages like Java, Python, C, C# and Ruby.
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