Experience Report: Standards-Based Grading at Scale in Algorithms
27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022
; 1:221-227, 2022.
Article
in English
| Scopus | ID: covidwho-1962401
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 (SBG) in supporting our students during the COVID-19 pandemic. We conclude by detailing the successes and adjustments we would make to the course structure. © 2022 Owner/Author.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
27th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2022
Year:
2022
Document Type:
Article
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