IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp17632.html
   My bibliography  Save this paper

Gender Bias in Student Evaluations of Teaching: Do Debiasing Campaigns Work?

Author

Listed:
  • Ayllón, Sara

    (Universitat de Girona)

  • Zamora, Camila

    (Autonomous University of Barcelona)

Abstract

This paper presents the results of a field experiment aimed at reducing the gender bias in teaching evaluations at a higher education institution. In the intervention, before they completed the teaching evaluation questionnaire, students were individually randomized in three groups. One third received an email invitation to watch a video that informed them of the existence of implicit bias (treatment 1). Another third of the students received an email invitation to watch a video with an explicit message that made them aware of the presence of gender bias in teaching evaluations (treatment 2). This second video also mentioned the fact that the academic literature has shown that this form of discrimination often originates with male students. At the end of both videos, all the students treated were asked to avoid displaying prejudice when they completed the questionnaire. The final third of students was assigned to the control group and did not receive any message. The results indicate that the video on implicit bias served to reduce the score gap between male and female lecturers. However, the video on gender bias had an unintended consequence: male students in the treatment group awarded their female teachers even lower scores than did the control group — confirming the risk of backlash or reactance in this kind of debiasing campaign. Such an effect was found to be particularly strong in female-dominated academic contexts.

Suggested Citation

  • Ayllón, Sara & Zamora, Camila, 2025. "Gender Bias in Student Evaluations of Teaching: Do Debiasing Campaigns Work?," IZA Discussion Papers 17632, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp17632
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp17632.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    gender bias; field experiment; gender discrimination; teaching evaluations; higher education; Spain;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp17632. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.