Who and what gets recognized in peer recognition

In this study, we draw on methods from social network analysis and find a consistent gender bias in which men disproportionately under-nominate women as strong in their physics course in both a lecture course and a distinct lab course. We also find a gender bias in the lecture course in which women disproportionately under-nominate men. We expand on prior work by probing two data sources related to who and what gets recognized in peer recognition: students' interactions with their peers (who gets recognized) and students' written explanations of their nominations of strong peers (what gets recognized). We find that students determine who gets recognized in two different ways, each with a similar frequency: selecting the strongest of the peers with whom they directly interact (and "dropping" their other interaction ties) and indirectly observing peers with whom they do not interact. Results also suggest that the nature of the observed gender bias in peer recognition varies between the instructional contexts of lecture and lab. In the lecture course, the gender bias is related to who gets recognized: men and women nominate men and women for similar skill sets, but disproportionately drop more of their interaction ties to students of the other gender when forming nominations. In the lab course, in contrast, the gender bias is also related to what gets recognized: men nominate men more than women because of the ways they interacted, such as being helpful. These findings illuminate the different ways in which students form perceptions of their peers and add nuance to our understanding of the nature of gender bias in peer recognition.