The course is for educators who are interested in empowering themselves and others to broaden participation in computing through more equitable and inclusive classroom environments, so that all students, especially those from marginalized communities, build a sense of belonging and identity in computer science.
Belonging and identity is essential to student experience and engagement. As efforts to expand CS education continue, there is a pressing need to provide equity-focused professional learning on a large scale so that all students and educators – in all contexts, from all backgrounds – are able to have positive experiences in computer science.
ScIP's hybrid model combines self-paced online coursework with live group sessions, empowering facilitators to offer professional learning courses locally. This approach encourages individual reflection, community engagement, and addresses biases, local data, and actionable plans for implementation.
Course Goals and Objectives:
Contact Allen Antoine (aantoine@tacc.utexas.edu) for more information.
Martin, N. D., Garza, E., Vazquez, A. W., & Fletcher, C. L. (2022). Scaling professional learning for equitable and inclusive computer science teaching. 2022 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 75–79.