测量学生在编程任务上的表现

Tomáš Effenberger, Radek Pelánek
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引用次数: 5

摘要

大规模的编程入门学习系统需要能够自动评估学生在编程任务中的表现质量。这种评估是使用性能度量来完成的,它向学生和教师提供反馈,并向领域、学生和导师模型提供输入。选择一种好的绩效测量方法是非常重要的,因为学生的绩效可以通过多种方式进行测量,并且测量方法的设计可以与学习系统的自适应特征或所使用的领域模型中的缺陷相互作用。我们讨论了重要的设计决策,并在案例研究中说明了迭代设计和评估性能度量的过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Students' Performance on Programming Tasks
Large scale learning systems for introductory programming need to be able to automatically assess the quality of students' performance on programming tasks. This assessment is done using a performance measure, which provides feedback to students and teachers, and an input to the domain, student and tutor models. The choice of a good performance measure is nontrivial, since the performance of students can be measured in many ways, and the design of measure can interact with the adaptive features of a learning system or imperfections in the used domain model. We discuss the important design decisions and illustrate the process of an iterative design and evaluation of a performance measure in a case study.
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