Development of girls’ interest and identities in computer sciences within an cscl environment

Yu Hui Chang, Sarah Barksdale, Lana Peterson, Cassandra Scharber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

SciGirls Code is a two-year project (2016-2018) supporting 16 STEM outreach programs in providing elementary/middle school girls with computational thinking (CT) in an extended learning environment setting. In this proposal, case analyses of six girls are presented to examine their interests in and identities toward computer sciences (CS). Findings reveal increased confidence and interest in CS activities, new appreciation for coding, the importance of teamwork and girls’ understanding of gendered identities in CS careers.

Original languageEnglish (US)
Title of host publicationA Wide Lens
Subtitle of host publicationCombining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings
EditorsKristine Lund, Gerald P. Niccolai, Elise Lavoue, Cindy Hmelo-Silver, Gahgene Gweon, Michael Baker
PublisherInternational Society of the Learning Sciences (ISLS)
Pages825-826
Number of pages2
ISBN (Electronic)9781732467248
StatePublished - 2019
Event13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019 - Lyon, France
Duration: Jun 17 2019Jun 21 2019

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume2
ISSN (Print)1573-4552

Conference

Conference13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019
CountryFrance
CityLyon
Period6/17/196/21/19

Bibliographical note

Funding Information:
This research is based upon work supported by the National Science Foundation under Grant No. 1543209.

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