We report our experiences implementing standards-based grading at scale in an Algorithms course, which serves as the terminal required CS Theory course in our department's undergraduate curriculum. The course had 200-400 students, taught by two instructors, eight graduate teaching assistants, and supported by two additional graders and several undergraduate course assistants. We highlight the role of standards-based grading in supporting our students during the COVID-19 pandemic. We conclude by detailing the successes and adjustments we would make to the course structure.
@article{arxiv.2204.12046,
title = {Experience Report: Standards-Based Grading at Scale in Algorithms},
author = {Lijun Chen and Joshua A. Grochow and Ryan Layer and Michael Levet},
journal= {arXiv preprint arXiv:2204.12046},
year = {2022}
}
Comments
This is an extended version of our paper, which will appear in ITiCSE 2022