Walking the walk: using classroom analytics to support instructors to address implicit bias in teaching

Abstract

Implicit bias is an issue that all instructors must face in their classrooms; this article describes an academic development method to help instructors address it. The method centres on EQUIP (https://www.equip.ninja), a free, web-based application for performing classroom observations that provides data disaggregated by social markers. Instructors engaged in iterative cycles of reflection on EQUIP analytics to track participation in their classes and make measurable changes to their teaching. Here we describe a semester-long learning community in which three university mathematics instructors reflected on EQUIP analytics to reduce implicit bias in their teaching.