LAUSR

When university students are asked to rate their instructors, their evaluations are often influenced by the demographic characteristics of the instructor - such as the instructor's race, gender or language background. These influences can manifest in unfair systematic biases against particular groups of teachers, and hamper movements to promote diversity in higher education. When and how do these biases develop? Here, we begin to address these questions by examining children's sociolinguistic biases against teachers who speak with different accents. To do this, we presented five-year-old Canadian English-speaking children with pairs of adult talkers. Children were asked to select 'who they'd like to be their teacher' then they rated 'how good of a teacher' they thought each talker would be on a 5-point scale. In each trial, one talker spoke in the locally dominant variety of Canadian English, and the other spoke in a different accent. Children strongly preferred Canadian-accented teachers over teachers who spoke with non-native (i.e., French or Dutch) accents, but also demonstrated a preference for Canadian teachers over teachers who spoke with non-local regional accents (i.e., Australian or British). In line with the binary choice data, children rated the Canadian talkers more favorably. The relationship between the gender of the teacher and the gender of the child also impacted ratings. This work demonstrates that even at the onset of formal education, children may already exhibit signs of accent-based biases. We discuss these findings in relation to the growing literature on implicit bias in higher education.