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dc.contributor.authorBreazeal, Cynthiaen_US
dc.contributor.authorRai, Arunen_US
dc.contributor.authorRamesh, Balasubramaniamen_US
dc.contributor.authorChen, Liweien_US
dc.contributor.authorLong, Yuanen_US
dc.contributor.authorAria, Andreaen_US
dc.contributor.authorLoi, Haoen_US
dc.contributor.authorTorralba, Antonioen_US
dc.contributor.authorBernstein, Jeremyen_US
dc.contributor.authorReich, Justinen_US
dc.contributor.authorKlopfer, Ericen_US
dc.contributor.authorAbelson, Halen_US
dc.contributor.authorWesterman, Georgeen_US
dc.contributor.authorBosch, Christinaen_US
dc.date.accessioned2025-10-10T12:36:09Z
dc.date.available2025-10-10T12:36:09Z
dc.date.issued2024-08-28
dc.identifier.urihttps://hdl.handle.net/1721.1/163126
dc.description.abstractThe objective of this whitepaper is to identify opportunities, issues, and challenges facing equitable education pathways for careers in computing and the particular role that generative artificial intelligence (AI) could play to support postsecondary education at minority-serving institutions (MSIs) and community colleges (CCs).en_US
dc.relation.isversionofhttps:/ /doi.org/10.21428/e4baedd9.8c709c43
dc.rightsCreative Commons Attribution-NonCommercial 4.0 International License (CC-BY-NC 4.0)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titleOpportunities, Issues, and Challenges for Generative AI in Fostering Equitable Pathways in Computing Educationen_US
dc.typeWorking paperen_US


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