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dc.contributor.authorKildare, Robert
dc.contributor.authorWillliams, Ray
dc.contributor.authorHartnett, Jacky
dc.contributor.authorReimann, and Peter
dc.date.accessioned2019-07-20T23:49:53Z
dc.date.accessioned2020-01-09T18:38:14Z-
dc.date.available2019-07-20T23:49:53Z
dc.date.available2020-01-09T18:38:14Z-
dc.date.issued2007-07
dc.identifier.citationKildare, R., Willliams, R., Hartnett, J., & Reimann, a. (2007). Interaction Rules: Their Place in Collaboration Software. In Chinn, C. A., Erkens, G., & Puntambekar, S. (Eds.), The Computer Supported Collaborative Learning (CSCL) Conference 2007, Volume 8, Part 1 (pp. 361-363). New Brunswick, NJ, USA: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/cscl2007.361
dc.identifier.urihttps://repository.isls.org//handle/1/3367-
dc.description.abstractOne major form of social capital that is central to the development of communities is the set of structures devoted to; norms of interaction, making these norms overt and regulating interaction. The creation of these structures is deeply linked to notions of trust, which has been identified as a major factor in the behaviour of successful virtual teams. Because (virtual) teams are complex, the types of interactions that suit a particular team may or may not be predictable. The first author has created Phreda, software that permits group members to create interaction rules in the form of production rules. These rules are then given to an expert system shell that matches these rules against resource use parameters in the group's online collaboration environment. This software as well as results from a first pilot study are described.en_US
dc.language.isoenen_US
dc.publisherInternational Society of the Learning Sciences, Inc.en_US
dc.titleInteraction Rules: Their Place in Collaboration Softwareen_US
dc.typePapersen_US
Appears in Collections:CSCL 2007

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