Questions (and Answers) for Incorporating Nontraditional Grading in Your Statistics Courses

Autor:	Brenna Curley, Jillian Downey, Katherine M. Kinnaird, Adam Loy, Eric Reyes
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Assessment Contract grading Specifications grading Standards-based grading Statistics education Ungrading Probabilities. Mathematical statistics QA273-280 Special aspects of education LC8-6691
Zdroj:	Journal of Statistics and Data Science Education, Vol 32, Iss 3, Pp 283-295 (2024)
Druh dokumentu:	article
ISSN:	26939169 2693-9169
DOI:	10.1080/26939169.2023.2277851
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/51c5b39fca674f59aabde91f336bdc4b Zobrazit plný text záznamu View record in DOAJ