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Activity Number:
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26
- Perspectives on Nontraditional Grading in Statistics Courses
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and Data Science Education
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Abstract #322397
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Title:
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Perspectives on Nontraditional Grading in Statistics Courses
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Author(s):
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Eric Reyes* and Adam Loy* and Jillian Downey* and Katherine Kinnaird*
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Companies:
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Rose-Hulman Institute of Technology and Carleton College and Gustavus Adolphus College and Smith College
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Keywords:
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Assessment;
Specifications Grading;
Standards-Based Grading;
Statistics Education
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Abstract:
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This session will compare and contrast different implementations of non-traditional grading in the statistics classroom. Specifically, panelists will discuss the benefits and pitfalls of standards-based grading, mastery-based testing, and specifications grading in a variety of courses. The panel will feature young statistics educators striving to find systems that promote a growth mindset. Part of this discussion will focus on the equitable implementation of these grading systems.
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Authors who are presenting talks have a * after their name.
