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Experience Report: Standards-Based Grading at Scale in Algorithms

Authors :
Chen, Lijun
Grochow, Joshua A.
Layer, Ryan
Levet, Michael
Publication Year :
2022

Abstract

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.<br />Comment: This is an extended version of our paper, which will appear in ITiCSE 2022

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2204.12046
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3502718.3524750