What’s in a Name: Exposing Gender Bias in Student Ratings of Teaching
By L. MacNell, Adam Driscoll, Andrea N. Hunt. Journal of Collective Bargaining in the Academy, 2015
707 citations recorded by the source corpus.
Subfields: Education, Gender Studies, Social Psychology
View Paper: https://www.semanticscholar.org/paper/2c7edfccad6097a80b0df385ace29ca9a43a7b4e
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
- Troy A. Heffernan
- Kellie Ottoboni
- Philip B. Stark
- Lauren A. Rivera
- András Tilcsik
- Ali H. Al-Hoorie
In Gender Studies
- Naznin Tabassum
- B. Nayak
- András Tilcsik
- Steve Stewart-Williams
- L. Halsey
- Lauren A. Rivera
- Anne Boring
- Ali H. Al-Hoorie
In Social Psychology
- Wolfgang Stroebe
- Anne Boring
- Troy A. Heffernan
- L. Halsey
- Steve Stewart-Williams
- Lauren A. Rivera
- Naznin Tabassum
- Ali H. Al-Hoorie
Citations in the corpus
- Gender Bias in Teaching Evaluations (2017, neutral): “MacNell et al. (2015) conduct an experiment within an online course where they manipulate the information students receive about the gender of their instructor.”
- Racial and ethnic imbalance in neuroscience reference lists and intersections with gender (2020, background): “Instances of both known and inferred gender have the potential to incite either explicit or implicit bias in citing authors (16, 18, 81).”
- Judging a Book by its Description : Analyzing Gender Stereotypes in the Man Bookers Prize Winning Fiction (2018, background): “While there are recent works where gender bias has been studied in different walks of life (Soklaridis et al., 2017),(MacNell et al., 2015), (Carnes et al., 2015), (Terrell et al., 2017), the analysis majorly involves information retrieval tasks involving a wide variety of prior work in this area.”
- Gender, ethnicity and teaching evaluations: Evidence from mixed teaching teams (2016, methodology): “The magnitude of our result is in line with the online experiment by MacNell et al. (2014).”
- Correlations, trends and potential biases among publicly accessible web-based student evaluations of teaching: a large-scale study of RateMyProfessors.com data (2018, background): “Nonetheless, there is still much debate over whether this gender-stereotyping translates to student evaluations of teaching, and, if so, to what degree it impacts various criteria in student evaluations of teaching (MacNell, Driscoll, and Hunt 2014).”
- The extent and drivers of gender imbalance in neuroscience reference lists (2020, background): “Indeed, implicit bias with respect to names has been shown in studies of race-based (48, 49) and gender (7, 50) discrimi-”
- Gender Stereotypes and Their Impact on Women’s Career Progressions from a Managerial Perspective (2021, background): “This is also evidenced in a study by MacNell, Driscoll and Hunt (2015) where the behaviour of teachers during an online course was rated more highly by the evaluators when the instructor was identified by a male name instead of a female name.”
- The Pandemic Penalty: The Gendered Effects of COVID-19 on Scientific Productivity (2020, background): “Students consistently rate women instructors lower on evaluations (Boring 2017; Laube et al. 2007; MacNell et al. 2015).”
- Men, women and STEM: Why the differences and what should be done? (2020, background): “• Women commonly get lower ratings than men in teaching evaluations (Rosen, 2018), even in experimental studies that equalize teaching quality (MacNell et al., 2015; Mengel et al., 2018).”
- Scaling Down Inequality: Rating Scales, Gender Bias, and the Architecture of Evaluation (2019, background): “Likewise, students rate female instructors as taking significantly longer to return feedback than male instructors, even when feedback is provided at the exact same time (MacNell et al. 2015).”
- Measuring teaching quality in higher education: assessing selection bias in course evaluations (2017, background): “…reflect student, course, and teacher characteristics which may not be related to teaching quality (e.g. see Berk 2005; Isely and Singh 2005; MacNell et al. 2015; McPherson et al. 2009).5 Related to this is the argument that such noise in course evaluations provides teacher incentives for…”
- Student Evaluations of Teaching (Mostly) Do Not Measure Teaching Effectiveness (2016, methodology): “[6] collected SET from an online course in which 43 students were randomly assigned to four(7) discussion groups, each taught by one of two TAs, one male and one female.”
- Gender Stereotypes. (2018, background): “…revealed in an experimental study where evaluations of teacher behaviors (e.g., promptness) during an online course were rated nearly a full point higher (at 4.35 instead of 3.55 on a five-point scale) when the instructor was identified by a male name instead of a female name (MacNell et al. 2015).”
- Sexism, racism, prejudice, and bias: a literature review and synthesis of research surrounding student evaluations of courses and teaching (2021, background): “For all the research and studies conducted around SETs, their conclusions largely all point to similar findings.”