Document Type
Article
Publication Date
2024
Publication Title
Journal of Statistics and Data Science Education
Volume
32
Issue
3
Abstract
Nontraditional grading methods have recently become more common, and as with any large pedagogical shift, there are a number of questions to consider when applying a new grading scheme to a course. This article summarizes four types of nontraditional grading and shares experiences from the authors who have applied them to a variety of courses in statistics. This article is structured as a set of questions and answers, seeking to address many of the concerns and considerations that one may face as they transition a course’s grading structure. Supplementary materials for this article are available online.
First Page
283
Last Page
295
Recommended Citation
Curley, Brenna, "Questions (and Answers) for Incorporating Nontraditional Grading in Your Statistics Courses" (2024). Statistical and Data Sciences: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/sds_facpubs/81
Digital Object Identifier (DOI)
10.1080/26939169.2023.2277851
Rights
© 2023 The Author(s).
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Included in
Data Science Commons, Other Computer Sciences Commons, Statistics and Probability Commons
Comments
Archived as published.