Girls learning computer science principles with after school games

Carolee Stewart-Gardiner, Gail Carmichael, Elisabeth Gee, Lorri Hopping

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

1 Scopus citations

Abstract

Encouraging middle school girls to become interested in Computer Science has been a concern in the Computer Science Education community for many years. Although many girls do play digital games[4], this has not led to further interest in computer science. We believe this is caused by many factors. We are researching the effect of teaching (non-programming) computer science principles embedded in after school games, to encourage girls to study computer science in their future. We maintain that the experience of learning these principles will increase their confidence that they can enjoy learning more about computer science. This on-going NSF sponsored AISL research project is described for discussion.

Original languageEnglish (US)
Title of host publicationGenderIT 2015 Advancing Diversity - Conference Proceedings
PublisherAssociation for Computing Machinery
Pages62-63
Number of pages2
ISBN (Electronic)9781450335966
DOIs
StatePublished - Apr 24 2015
Event3rd Conference on Advancing Diversity, GenderIT 2015 - Philadelphia, United States
Duration: Apr 24 2015Apr 25 2015

Publication series

NameACM International Conference Proceeding Series
Volume24-25-April-2015

Other

Other3rd Conference on Advancing Diversity, GenderIT 2015
CountryUnited States
CityPhiladelphia
Period4/24/154/25/15

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Stewart-Gardiner, C., Carmichael, G., Gee, E., & Hopping, L. (2015). Girls learning computer science principles with after school games. In GenderIT 2015 Advancing Diversity - Conference Proceedings (pp. 62-63). (ACM International Conference Proceeding Series; Vol. 24-25-April-2015). Association for Computing Machinery. https://doi.org/10.1145/2807565.2807716