Niral Shah’s research focuses on equity and implicit bias in STEM education. Although mathematics is often seen as “neutral” and “race-free,” Shah’s research shows that math classrooms are highly racialized spaces. Through classroom observations and student interviews, he studies how false racial narratives (e.g., “Asians are good at math”) affect classroom interaction and serve to position students as more or less capable of learning math. Shah also studies how perceptions of status affect student learning in elementary computer science. Currently, he is collaborating with STEM teachers to reflect on how implicit bias affects their students’ opportunities to learn. To support this work, Shah has co-developed an equity-focused classroom observation tool called EQUIP (https://www.equip.ninja/).
Dr. Shah will be joining our faculty in Fall 2019.