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.
Cite
@article{arxiv.2003.06500,
title = {An R Autograder for PrairieLearn},
author = {Dirk Eddelbuettel and Alton Barbehenn},
journal= {arXiv preprint arXiv:2003.06500},
year = {2020}
}