Book chapter
Perspectives on Research and Practice in and Around Cultural Relevance for Pre-College Data Science in Computing
Improving Equity in Data Science
2024
Abstract
Computer science and computer education have become increasingly understood as productive frames within which to conduct robust data science beyond university contexts for pre-college education. Broader topic pursuits (derived from data science) and sophisticated engagement (from computer science) make the intersection of these two fields a strong model for interdisciplinary learning and practice. Much of what has been reported in education research and practice are instantiations of data and computer science that are limited in scope and inquiries, since data sources are often curated by others rather than by learners themselves. In this chapter, our goal is to chart out ways to expand the possibilities for what it means to learn and practice data science for computer science learning. Drawing on foundational and contemporary perspectives in computing education as well as culturally relevant pedagogies, we share illustrative vignettes that highlight opportunities for learning that are simultaneously equitable and productive-beyond inclusion and empowerment. We conclude by discussing how these approaches might generate more deeply enriching and community-engaged scholarship and learning.
Metrics
5 Record Views
3 citations in Scopus
Details
- Title
- Perspectives on Research and Practice in and Around Cultural Relevance for Pre-College Data Science in Computing
- Creators
- Justice T. WalkerAmanda BaranyAlan BarreraMichael A. JohnsonSayed Mohsin Reza
- Contributors
- Colby Tofel-Grehl (Editor)Emmanuel Schanzer (Editor)
- Publication Details
- Improving Equity in Data Science
- Publisher
- Routledge
- Edition
- 1
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Education
- Scopus ID
- 2-s2.0-85193498067
- Other Identifier
- 991021867162404721