Abstract
Diversity and inclusion are popular topics at SIGCSE. However, few researchers examine questions specifically focused on race. Such research is of great interest to the SIGCSE community, but is typically conducted by education faculty and published in education journals. This panel attempts to introduce attendees to relevant background and methods, such that attendees can more easily understand and contribute to computer science education research related to race. This panel attempts to bridge our two communities by inviting race scholars from education to share their expertise with computer science education researchers and practitioners.
Original language | English (US) |
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Title of host publication | SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education |
Pages | 171-172 |
Number of pages | 2 |
ISBN (Electronic) | 9781450367936 |
DOIs | |
State | Published - Feb 26 2020 |
Event | 51st ACM SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2020 - Portland, United States Duration: Mar 11 2020 → Mar 14 2020 |
Publication series
Name | SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education |
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Conference
Conference | 51st ACM SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2020 |
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Country/Territory | United States |
City | Portland |
Period | 3/11/20 → 3/14/20 |
Funding
Sepehr Vakil is an assistant professor of Learning Sciences in the School of Education and Social Policy at Northwestern University. Previously he was Assistant Professor of STEM Education and the Associate Director of Equity & Inclusion in the Center for STEM Education at the University of Texas at Austin. Broadly his research examines the intersections of learning, identity, race, power, and ethics in secondary and post-secondary engineering and CS contexts [17–19]. Dr. Vakil’s teaching and research are informed by sociocultural theories of learning, practice, and pedagogy. He recently received the National Science Foundation’s early CAREER award, as well as the National Academy of Education/Spencer Foundation Postdoctoral fellowship. He received his PhD in the Education in Mathematics, Science, and Technology program at UC Berkeley, and his B.S and M.S in Electrical Engineering from UCLA. Niral Shah is an Assistant Professor in the College of Education at the University of Washington. His research focuses on racial equity in STEM education [2, 6, 9, 14–16]. Dr. Shah’s work has looked at how racial narratives about STEM ability affect students’ identities and participation in classrooms. For example, he has shown how the false "Asians are good at math" narrative dehumanizes Asian people, and also links to other racist narratives that position non-Asian students of color as intellectually inferior. He is also co-developer of the EQUIP classroom observation tool (https://www.equip.ninja/), which teachers and district leaders are using to identify and attenuate implicit bias in classrooms. Dr. Shah is a National Academy of Education/Spencer Dissertation Fellow and Postdoctoral Fellow, and his work has been funded by the National Science Foundation, Institute of Education Sciences, and the Spencer Foundation. This material is based upon work supported by the National Science Foundation under Grant numbers CNS-1743195, CNS-1339404, EHR-1821136.
Keywords
- Critical race theory
- Diversity
- Equity
- Intersectionality
- Race
ASJC Scopus subject areas
- General Computer Science
- Education