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Double-loop learning conversations in an online community on overweight
KTH, School of Information and Communication Technology (ICT), Computer and Systems Sciences, DSV.
2005 (English)In: IADIS International Conference on Cognition and Exploratory Learning in Digital Age, 2005, 383-386 p.Conference paper, Published paper (Refereed)
Abstract [en]

The members of online health-communities are growing in number. One type of health-community is the one for people who suffer from overweight, who want to change behavior to lose weight. Learning a new behavior calls for investigating patterns of events, to question the way events are presented, and to create new mental models. This paper presents the results from a study of learning conversations held in an online community on overweight. In the conversations on learning, the most frequently used type of response was the one sympathizing with the ideas and beliefs of the sender, while the least used type of response was the one that rejected the ideas presented by the sender. Furthermore, there were more examples of members who presented counter-ideas in the conversations on obstacles and incentives than in the conversations on personal setbacks.

Place, publisher, year, edition, pages
2005. 383-386 p.
Keyword [en]
Conversations, Double-loop learning, Incentive, Obstacle, Online community, Setback
National Category
Communication Studies Social Psychology Information Systems
Identifiers
URN: urn:nbn:se:kth:diva-148566Scopus ID: 2-s2.0-84882957951ISBN: 978-162748330-8 (print)OAI: oai:DiVA.org:kth-148566DiVA: diva2:737017
Conference
IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005; Porto, Portugal, 14-16 December, 2005
Note

QC 20140811

Available from: 2014-08-11 Created: 2014-08-08 Last updated: 2014-08-11Bibliographically approved

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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
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