Bias in grading: A meta-analysis of experimental research findings

166 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? (2018, background): “However, their team suspects that irrelevant factors may influence scorers’ judgments [6, 74].”
Experimental Evidence on Teachers’ Racial Bias in Student Evaluation: The Role of Grading Scales (2020, methodology): “…Article reuse guidelines: sagepub.com/journals-permissions © 2020 AERA. http://eepa.aera.net A vast research literature shows that teachers give racially biased evaluations of student work (for reviews, see Ferguson, 2003; Malouff & Thorsteinsson, 2016; Tenenbaum & Ruck, 2007).”
The need to disentangle assessment and feedback in higher education (2020, background): “…higher education institutions require student work to be graded anonymously, in order to protect students from unconscious bias, on the basis of suggestions that knowing the identity of student can lead to the influence of unconscious bias on grading decisions (e.g. Malouff & Thorsteinsson, 2016).”