Grades and Learning (original) (raw)

Journal of Assessment and Institutional Effectiveness

Abstract

Course grades are not typically used as primary data for assessing learning in reports prepared for accreditation due to a complicated history. This article encourages readers to reconsider by offering several examples of grade analysis to show how to estimate students’ abilities and course difficulties, and link those to discipline-specific learning. Linear and ordinal regression are used to model rubric rating averages over time, plausibly showing that student ability affects learning development. Another analysis offers a way to estimate marginal learning gains associated with course rigor. The examples give rise to several research questions that can contribute to a body of practical research on grades, student success, student learning, and equity of outcomes.

David Eubanks hasn't uploaded this paper.

Let David know you want this paper to be uploaded.

Ask for this paper to be uploaded.