Experience Report: Standards-Based Grading at Scale in Algorithms
Experience Report: Standards-Based Grading at Scale in Algorithms
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经验报告:算法中基于标准的大规模分级
DOI:
10.1145/3502718.3524750
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Levet, Michael
中科院分区:
文献类型:
--
作者:
Chen, Lijun;Grochow, Joshua A.;Layer, Ryan;Levet, Michael
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.
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