论文标题
大草原的R自动骑手
An R Autograder for PrairieLearn
论文作者
论文摘要
我们描述了如何通过利用其对外部自动研究生的内置支持来使用和扩展PrarieRearn框架。通过使用自定义Docker容器，我们可以完美匹配我们的课程要求。此外，通过依靠接口的灵活性，我们可以自定义Docker容器。描述了单位测试的特定扩展，该扩展在学生答案和参考解决方案之间产生了上下文依赖的差异，从而在测试时提供了更全面的响应。
We describe how we both use and extend the PrarieLearn framework by taking advantage of its built-in support for external auto-graders. By using a custom Docker container, we can match our course requirements perfectly. Moreover, by relying on the flexibility of the interface we can customize our Docker container. A specific extension for unit testing is described which creates context-dependent difference between student answers and reference solution providing a more comprehensive response at test time.
