An R Autograder for PrairieLearn
FOS: Computer and information sciences
Statistics - Other Statistics
Other Statistics (stat.OT)
DOI:
10.48550/arxiv.2003.06500
Publication Date:
2020-01-01
AUTHORS (2)
ABSTRACT
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, can match our course requirements perfectly. Moreover, relying on flexibility interface customize container. A specific extension unit testing is described which creates context-dependent difference between student answers reference solution providing more comprehensive response at test time.
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