Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Student evaluations of teaching tend to be biased against female teachers. Such biases has previously been shown to thrive in anonymous, online settings, such as internet forums. We designed a randomized, double-blind experiment in a natural educational setting to study gender biases in teaching evaluations. In the early post-Covid period, we randomly assigned a male or female name to the instructions given by the online teachers. Importantly, the teachers actually responding to the questions did not know whether they interacted with the students as male or female, which is a novel contribution to the literature. The course evaluation asked students to rate the mentors’ helpfulness, knowledge, and response time. The results show no bias against the female mentor in any single dimension. Our confidence interval around the zero effect does not overlap the effect sizes reported in highly influential previous studies.