skip to main content
10.1145/3394486.3411063acmconferencesArticle/Chapter ViewAbstractPublication PageskddConference Proceedingsconference-collections
abstract

How Can Computer Science Education Address Inequities

Published:20 August 2020Publication History

ABSTRACT

The 2019 global pandemic and the social protests in support of Black Lives Matter has made it clear that society has yet to eradicate systemic racism. Can computing education help? Academics, particularly in STEM fields, are often shielded from these conversations as we think they belong in a social science classroom. The effect of the pandemic and the protests has made it abundantly clear that we can no longer be apathetic about systemic issues that impact equity in society. Based on personal experience and on years of participation in Broadening Participation in Computing (BPC) efforts, the author suggests actions that CS departments can do to fight inequity. These can be classified into several broad categories: (a) provide more support and opportunities to students from underrepresented groups, (b) encourage faculty to become active participants in addressing inequity, (c) update the computing curriculum to be more inclusive and culturally responsive, and (d) evolve the departmental infrastructure to manage diversity, equity and inclusion.

Index Terms

  1. How Can Computer Science Education Address Inequities

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Conferences
              KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
              August 2020
              3664 pages
              ISBN:9781450379984
              DOI:10.1145/3394486

              Copyright © 2020 Owner/Author

              Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 20 August 2020

              Check for updates

              Qualifiers

              • abstract

              Acceptance Rates

              Overall Acceptance Rate1,133of8,635submissions,13%

              Upcoming Conference

              KDD '24
            • Article Metrics

              • Downloads (Last 12 months)4
              • Downloads (Last 6 weeks)0

              Other Metrics

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader