2:30–3:30 p.m. | Powell 320
This talk focuses on the use of data to support equitable teaching. I introduce the model for equity learning communities, which has been developed over the past decade. Equity learning communities have been used to support the effective and equitable teaching of faculty in STEM fields and beyond. Out of this work, I share practical strategies that college instructors can use to promote an equitable and engaging classroom environment. I also discuss a learning process that instructional developers can use to support their faculty to better take up the strategies in an effective way. This presentation draws heavily from my new book, Equity Learning Communities: Leveraging Data to Transform Instruction in Higher Education, which will be available from Harvard Education Press starting Fall 2025.
Presenter Bio: Daniel L. Reinholz, Ph.D. is a Professor in the Department of Mathematics and Statistics at San Diego State University. Dr. Reinholz engages in transformative research on classroom equity in postsecondary mathematics. This work has been organized around the development of the EQUIP tool and the equity analytics approach, which focuses on generating actionable data to illuminate the subtle and sometimes invisible patterns that play out in classroom participation (by race, gender, disability, etc.). These data can be incorporated into robust professional learning opportunities through equity learning communities that support instructors to transform their teaching. Beyond the classroom, Dr. Reinholz serves as a Working Group Leader in the Accelerating Systemic Change Network, which aims to catalyze sustainable and scalable changes to STEM higher education. Dr. Reinholz is also a co-founder of Sines of Disability, a network of disabled mathematicians committed to addressing ableism in mathematics.