Researchers have built an online tool that allows university teachers to assess how 鈥渉idden biases鈥 may be affecting their student evaluation scores, as universities increasingly rely on such scores in hiring and promotion decisions.
Developed by scholars Yashar Bashirzadeh, Luc Meunier and Robert Mai, the 鈥溾 is based on a dataset of more than 377,000 student-professor pairings collected over more than a decade across business school campuses.
The researchers launched the tool after carrying out a study that looked at how nationality, gender and age can influence student evaluation scores, which are often used by universities to assess faculty performance and to inform decisions about promotions.
Their research found that these scores can systematically advantage or disadvantage certain groups. One of the most striking findings relates to 鈥渃ultural distance鈥, defined as the difference between the backgrounds of students and professors. The results show that professors who are more culturally distant from their students tend to score higher in student evaluations.
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鈥淲hat we find is that if you have a diverse faculty, the learning experience is more enriched. Diversity is something that the students appreciate,鈥 Bashirzadeh, an assistant professor of marketing at the Grenoble 脡cole de Management, told 糖心Vlog.
He added that the effect remains even after accounting for a wide range of factors. 鈥淚聽am taking into account factors specific to the professor, factors specific to the student鈥nd this effect is still highly significant,鈥 he said.
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The researchers also found that younger female professors receive lower evaluations than their male counterparts. Scores for women rise towards the mid-career point before dropping again. Male professors typically see their scores decrease with age.
鈥淔or example, if you鈥檙e a young female professor who is British, and you鈥檙e teaching a British audience, you have a low cultural distance. We know there is a bias against young female professors,鈥 Bashirzadeh explained. 鈥淪o if you get a teaching evaluation score of 3.5 out of 5, in reality you might have received a 4.2 if you were a young male professor teaching a mixed audience.鈥
The set bias corrector applies these statistical patterns to estimate what a professor鈥檚 evaluation score would look like if certain characteristics were different. When users enter information such as age and gender, the tool聽generates an adjusted figure intended to reflect an unbiased score.
鈥淲e know that the bias exists. So we can take your score and ask, 鈥榃hat would you have received if one of those characteristics were different?鈥欌 said Bashirzadeh.
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He stressed that the findings on cultural distance are salient at a time when policies related to diversity and internationalisation are increasingly coming under threat, pointing to examples such as Donald Trump鈥檚 attacks on DEI initiatives at US universities and a push for classes to be taught in Dutch in the Netherlands.
鈥淥ur findings show that diversity is something that students value,鈥 he said.
Bashirzadeh also warned against treating faculty diversity as a simple binary between 鈥渋nternational鈥 and 鈥渄omestic鈥.
鈥淚f you鈥檙e British and you hire someone from Ireland, that鈥檚 very different from hiring someone from say Germany or Brazil,鈥 he said. 鈥淵ou have different degrees of cultural distance.鈥
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