Becoming experts: Measuring attitude development in introductory computer science

Brian Dorn, Allison Elliott Tew

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

15 Scopus citations

Abstract

We have begun the process of examining how students per-ceive the field of computer science by employing a novice-to-expert continuum framework. As part of this exploration we have developed and are validating the Computing Attitudes Survey (CAS). In this study, our research focuses on how students develop expert-like attitudes and what effect an in-troductory course may have on that development. In partic-ular, we find that the CAS instrument can be used to detect pre/post attitude shifts after a single introductory course of instruction and that individual subpopulations show posi-tive attitude gains across gender, area of study and peda-gogy. Further, the CAS can also be used to identify significant pre/post attitude shifts among individual component factors, groupings of items on the survey that characterize different aspects of novice thought processes.

Original languageEnglish (US)
Title of host publicationSIGCSE 2013 - Proceedings of the 44th ACM Technical Symposium on Computer Science Education
Pages183-188
Number of pages6
StatePublished - 2013
Externally publishedYes
Event44th ACM Technical Symposium on Computer Science Education, SIGCSE 2013 - Denver, CO, United States
Duration: Mar 6 2013Mar 9 2013

Publication series

NameSIGCSE 2013 - Proceedings of the 44th ACM Technical Symposium on Computer Science Education

Conference

Conference44th ACM Technical Symposium on Computer Science Education, SIGCSE 2013
Country/TerritoryUnited States
CityDenver, CO
Period3/6/133/9/13

Keywords

  • Assessment
  • Attitudes
  • Surveys

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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