Grade Inflation: A Crisis in College Education
By Valen E. Johnson. 2003
357 citations recorded by the source corpus.
Subfields: Education, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/07e5cc2836f3b33ff2d5fb3594ae3696d549b054
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Wolfgang Stroebe
- Anne Boring
- H. Hornstein
- Philip B. Stark
- Kellie Ottoboni
- Bob Uttl
- C. A. White
- D. Gonzalez
In Modeling and Simulation
- D. Clayson
- Christopher A. Healy
- Robert A. Hannerman
- Bob Uttl
- Allison M Cantwell
- C. A. White
- Adam Driscoll
- L. MacNell
Citations in the corpus
- Two Cultures: Undergraduate Academic Engagement (2008, result): “These findings conform to previous studies of grading patterns across disciplines (Johnson 2003).”
- Evaluating Students' Evaluations of Professors (2014, neutral): “This finding is confirmed by several other studies and is thought to be a key cause of grade inflation (Carrell & West, 2010; Johnson, 2003; Weinberg, Fleisher, & Hashimoto, 2009).”
- Student Entitlement: Issues and Strategies for Confronting Entitlement in the Classroom and Beyond (2009, background): “For example, Arhin and Johnson-Mallard (2003) document student preference for visual and engaged learning over that which is passive.”
- Where a is Ordinary: The Evolution of American College and University Grading, 1940-2009 (2012, background): “There has been extensive work on the relationship between course evaluations and grades, and much evidence indicates that higher grades yield more positive student-based evaluations (e.g., Ellis, Burke, Lomire, & McCormack, 2003; Feldman, 1976; Johnson, 2003; Weinberg, Fleisher, & Hashimoto, 2007), ”
- What’s in a Name: Exposing Gender Bias in Student Ratings of Teaching (2015, methodology): “We also ran two general linear multivariate analyses of variance (MANOVAs) on the set of 12 variables Innov High Educ (2015) 40:291–303 297”
- Student evaluations of teaching are an inadequate assessment tool for evaluating faculty performance (2017, background): “Many studies cast doubt on the validity of SET as a measure of teaching effectiveness (e.g. Johnson, 2003).”
- Student Evaluations of Teaching: Are They Related to What Students Learn? (2009, background): “Johnson (2003) overcame these problems by stepping around the operational definition issue and looking at the actual results of his construct.”
- Are the Unskilled Really that Unaware? An Alternative Explanation (2008, neutral): “In addition, it is well-known from studies of grade inflation (Avery, Fairbanks, & Zeckhauser, 2003; Johnson, 2003; Lewis, 2006, chapter 5; Sabot & Wakeman-Linn, 1991) that grades at the undergraduate level have – with the notable exception of the natural sciences – become less and less differentiat”
- Psychological correlates of university students' academic performance: a systematic review and meta-analysis. (2012, background): “GPA is not without limitations, with questions of reliability and validity arising as a result of grade inflation (Johnson, 2003) and institutional grading differences (Didier, Kreiter, Buri, & Solow, 2006).”
- Student Evaluations of Teaching (Mostly) Do Not Measure Teaching Effectiveness (2016, background): “measure student satisfaction and grade expectations more than they measure teaching effectiveness [4,7].”
- Meta-analysis of faculty's teaching effectiveness: Student evaluation of teaching ratings and student learning are not related (2017, methodology): “…report necessary data to establish the SET/learning correlations; Sorge (1973) confounded SET/ learning correlations with experimental manipulation; Johnson (2003) did not include a multisection study but a collection of sections from a variety of courses mixed together; Cohen (1981) was excluded…”