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Activity Number: 26 - Perspectives on Nontraditional Grading in Statistics Courses
Type: Topic Contributed
Date/Time: Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #322397
Title: Perspectives on Nontraditional Grading in Statistics Courses
Author(s): Eric Reyes* and Adam Loy* and Jillian Downey* and Katherine Kinnaird*
Companies: Rose-Hulman Institute of Technology and Carleton College and Gustavus Adolphus College and Smith College
Keywords: Assessment; Specifications Grading; Standards-Based Grading; Statistics Education

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.

Authors who are presenting talks have a * after their name.

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