Counter-hegemonic Computing: Toward Computer Science Education for Value Generation and Emancipation

Author:

Eglash Ron1ORCID,Bennett Audrey2,Cooke Laquana3,Babbitt William4,Lachney Michael5

Affiliation:

1. School of Information, University of Michigan, MI

2. Stamps School of Art and Design, University of Michigan

3. English Department, Westchester University of Pennsylvania, PA

4. Science and Technology Studies, Rensselaer Polytechnic Institute, Troy, NY

5. Department of Counseling, Educational Psychology and Special Education, Michigan State University, East Lansing, MI

Abstract

Students’ lives, both in and out of school, are full of different forms of value. Wealthy students enjoy value in the form of financial capital; their fit to hegemonic social practices; excellent health care and so on. Low-income students, especially those from African American, Native American, and Latinx communities, often lack access to those resources. But there are other forms of value that low-income students do possess. Most examples of what we will call Counter-Hegemonic Practice (CHP) in the African American community involve some mixture of Indigenous African heritage, contemporary innovation in the Black community, and other influences. Moving between these value forms and the computing classroom is a non-trivial task, especially if we are to avoid merely using the appearance of culture to attract students. Our objective in this paper is to provide a framework for deeper investigations into the computational potentials for CHP; its potential as a link between education and community development; and a more dignified role for its utilization in the CS classroom. We report on a series of collaborative engagements with CHP, largely focused on African American communities.

Funder

National Science Foundation STEM+C

University of Michigan

West Chester University of Pennsylvania

Rensselaer Polytechnic Institute

Michigan State University

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

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