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Assessing Professional Identity of Computer Science Teachers: Design and Validation of the CS Teacher Identity Survey

  • Lijun Ni
  • , Tom McKlin
  • , Han Hao
  • , Jake Baskin
  • , Jason Bohrer
  • , Alexis Martin
  • The Findings Group
  • Claremont Graduate University
  • Computer Science Teachers Association
  • Kapor Center

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Current efforts to expand K-12 CS education highlight the great need of well-prepared CS teachers with a strong sense of professional identity. This study proposes the CS teacher identity scale, a quantitative instrument for measuring CS teachers' sense of professional identity. The survey was piloted through a national teacher survey and tested for its reliability, dimensionality, and validity. The analysis reveals a four-factor solution for the CS teacher identity scale.

Original languageEnglish
Title of host publicationSIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
PublisherAssociation for Computing Machinery, Inc
Pages1332
Number of pages1
ISBN (Electronic)9781450380621
DOIs
StatePublished - Mar 3 2021
Event52nd ACM Technical Symposium on Computer Science Education, SIGCSE 2021 - Virtual, Online, United States
Duration: Mar 13 2021Mar 20 2021

Publication series

NameSIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

Conference

Conference52nd ACM Technical Symposium on Computer Science Education, SIGCSE 2021
Country/TerritoryUnited States
CityVirtual, Online
Period03/13/2103/20/21

Keywords

  • computer science teachers
  • identity survey
  • teacher identity

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