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Computing for Social Good in Education

Ellis, Hedi; Hislop, Gregory W.; Goldweber, Mikey; Rebelsky, Samuel; Pearce, Janice; Ordonez, Patti; Pias, Marcelo; Gordon, Neil

Authors

Hedi Ellis

Gregory W. Hislop

Mikey Goldweber

Samuel Rebelsky

Janice Pearce

Patti Ordonez

Marcelo Pias



Abstract

Computing for Social Good in Education (CSG-Ed) engages students with the positive potential of computing to benefit society. It can introduce students to aspects of professional responsibility, something computing students need more than ever given the extensive impact of computing on organizations and individuals. CSG-Ed also has many connections to the CS2023 Computing Curriculum emphasis on Society, Ethics, and the Profession. This article introduces CSG-Ed, discusses the development of CSG-Ed, and provides examples and best practices for CSG-Ed in undergraduate computing programs.

Citation

Ellis, H., Hislop, G. W., Goldweber, M., Rebelsky, S., Pearce, J., Ordonez, P., Pias, M., & Gordon, N. (2024). Computing for Social Good in Education. ACM Inroads, 15(4), 47-57. https://doi.org/10.1145/3699719

Journal Article Type Article
Acceptance Date Oct 7, 2024
Online Publication Date Nov 11, 2024
Publication Date 2024-12
Deposit Date Oct 7, 2024
Publicly Available Date Nov 18, 2024
Journal ACM Inroads
Print ISSN 2153-2184
Electronic ISSN 2153-2192
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Volume 15
Issue 4
Pages 47-57
DOI https://doi.org/10.1145/3699719
Keywords computing education
Public URL https://hull-repository.worktribe.com/output/4862021
Publisher URL https://inroads.acm.org/article.cfm?aid=3699719
This output contributes to the following UN Sustainable Development Goals:

SDG 4 - Quality Education

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

Files

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Copyright Statement
© ACM 2024. This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1145/3699719





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