Professional Development Workshops for Faculty on Addressing Implicit Bias in Computer Science Education

Authors

Sandie Han, CUNY Medgar Evers CollegeFollow
Diana Samaroo, CUNY New York City College of TechnologyFollow
Janet Liou-Mark, CUNY New York City College of Technology
Boyan Kostadinov, CUNY New York City College of TechnologyFollow
Johann Thiel, CUNY New York City College of TechnologyFollow
Suhua Zeng, CUNY Graduate CenterFollow

Document Type

Article

Publication Date

Fall 2025

Abstract

The "Understanding Implicit Bias" workshops were offered to Science, Technology, Engineering, and Mathematics (STEM) faculty at an urban minority-serving undergraduate institution with a focus on addressing the gender gap in computer science. The workshops aimed to raise awareness of implicit (unconscious) biases and provide practical strategies for addressing them, fostering a more inclusive classroom environment. Analysis of pre- and post-survey responses indicated an increase in participants' awareness of implicit biases in their discipline and a greater openness to taking steps to address them, suggesting the workshops' potential impact on promoting inclusive teaching practices.

Comments

This article was originally published in Mathematics Teaching-Research Journal, available at https://s3.amazonaws.com/files.commons.gc.cuny.edu/wp-content/blogs.dir/34462/files/2025/09/7_sandie.pdf

This work is distributed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).