| dc.contributor.author | Walker, Raechel | |
| dc.contributor.author | Dias, Olivia | |
| dc.contributor.author | Taylor, Matthew | |
| dc.contributor.author | Breazeal, Cynthia | |
| dc.date.accessioned | 2024-06-06T15:49:37Z | |
| dc.date.available | 2024-06-06T15:49:37Z | |
| dc.date.issued | 2024-05-16 | |
| dc.identifier.isbn | 979-8-4007-0626-4 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/155203 | |
| dc.description | RESPECT 2024: Proceedings of the 2024 on RESPECT Annual Conference May 16–17, 2024, Atlanta, GA, USA | en_US |
| dc.description.abstract | Computing curricula tend to inadvertently perpetuate a damaging singular narrative about African American communities. Two data activism programs were implemented, with a qualitative analysis tracking desire-based research integration into final student projects. In the second program, projects shifted to collaboration with community organizers, increasing the inclusion of desire-based research. Integrating community researchers into the technical curriculum empowers students to infuse data science projects with personal narratives, breaking away from the conventional singular narrative. Liberatory computing enables students to express a nuanced understanding of their experiences. These projects equip students with advanced data activism skills for active contributions to policymaking processes. | en_US |
| dc.publisher | ACM | en_US |
| dc.relation.isversionof | 10.1145/3653666.3656072 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | Association for Computing Machinery | en_US |
| dc.title | Alleviating the Danger Of A Single Story Through Liberatory Computing Education | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Walker, Raechel, Dias, Olivia, Taylor, Matthew and Breazeal, Cynthia. 2024. "Alleviating the Danger Of A Single Story Through Liberatory Computing Education." | |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2024-06-01T07:57:33Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2024-06-01T07:57:34Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |