oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
“See me! Not my gender, race, or social class”: Combating Stereotyping and prejudice mixing digitally manipulated experience with classroom debriefing
(RAVE)
(RAVE)
(RAVE)
Örebro University, School of Humanities, Education and Social Sciences. (RAVE, Soris)
Show others and affiliations
2018 (English)In: DHN Helsinki 2018: Book of Abstracts / [ed] Eetu Mäkelä, Mikko Tolonen, Jouni Tuominen, 2018Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2018.
National Category
General Language Studies and Linguistics Pedagogical Work
Research subject
English
Identifiers
URN: urn:nbn:se:oru:diva-70434OAI: oai:DiVA.org:oru-70434DiVA, id: diva2:1267808
Conference
Digital Humanities in the Nordic Countries 3rd Conference stein(DHN 2018), Helsinki, Finland, March 7-9, 2018
Available from: 2018-12-04 Created: 2018-12-04 Last updated: 2018-12-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Book of Abstracts

Authority records BETA

Lindvall-Östling, MattiasDeutschmann, Mats

Search in DiVA

By author/editor
Lindvall-Östling, MattiasDeutschmann, Mats
By organisation
School of Humanities, Education and Social Sciences
General Language Studies and LinguisticsPedagogical Work

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 78 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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