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Towards a conversational pedagogical agent capable of affecting attitudes and self-efficacy
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-6997-3917
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-4899-588X
2010 (English)In: Proceedings of the Second Workshop on Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity, 2010Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we discuss how social conversation with an agent in an educational math game can be used in order to gain pedagogical benefits, for example to increase positive attitudes towards learning math and math self-efficacy. We present the iterative development of the conversational module, architectural considerations, and the type of dialogue phenomenon that support the pedagogical interventions

Place, publisher, year, edition, pages
2010.
Keyword [en]
conversational pedagogical agents, social dialogue, attitudes, self-efficacy, dialogue system architecture
National Category
Pedagogy Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-60117OAI: oai:DiVA.org:liu-60117DiVA: diva2:355147
Available from: 2010-10-06 Created: 2010-10-05 Last updated: 2016-12-19Bibliographically approved

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Type fulltextMimetype application/pdf

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Silvervarg Flycht-Eriksson, AnnikaJönsson, Arne

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Silvervarg Flycht-Eriksson, AnnikaJönsson, Arne
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CiteExportLink to record
Permanent link

Direct link
Cite
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