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Challenging Gender Stereotypes using Virtual Pedagogical Characters
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
Lunds universitet.
2010 (English)In: Gender Issues in Learning and Working with Information Technology: Social Constructs and Cultural Contexts, / [ed] Sara Goodman, Shirlsy Booth & Gill Kirkup, IGI Global , 2010Chapter in book (Other academic)
Abstract [en]

This paper explores motivational and cognitive effects of more neutral or androgynous-looking versus more feminine-looking and masculine-looking virtual characters. A user study is presented, in which 158 students, aged 17-19, encountered four virtual characters that were visually manipulated to represent gender stereotypicality versus androgyny. On the one hand we explored students’ attitudes towards the different characters as seen in how they ranked them as preferred presenters and articulated their arguments for doing so. On the other hand we looked for patterns as to which character(s) influenced female and male students most positively with respect to their attitude towards a university level computer engineering programme. Results from the study are presented and discussed. We conclude by pointing towards future research and potential within the area.

 

Place, publisher, year, edition, pages
IGI Global , 2010.
Keyword [en]
Virtual pedagogical character, Gender, Stereotype, Gender stereotype, Androgynous Role modelling, Identification, Cultural image
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-63723ISBN: 978-16-15208-13-5 (print)OAI: oai:DiVA.org:liu-63723DiVA: diva2:382499
Projects
LearnITGender, Learning and Information Technology
Available from: 2010-12-31 Created: 2010-12-31 Last updated: 2013-04-12Bibliographically approved

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Gulz, Agneta

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf