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Virtual Communities of Practice in Academia: Automated Analysis of Collaboration Based on the Social Knowledge-Building Model

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Scaling up Learning for Sustained Impact (EC-TEL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8095))

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Abstract

Participation in communities of practice (CoPs) [1], either in face-to-face, or in technology-based environments, leads to the accumulation of experience, stimulates the social construction of knowledge and the development of expertise. An overview over the occurring complex long-term processes may provide means to foster collaboration and social knowledge construction in CoP. In technology-based environments, however, this requires valid and reliable automatic analysis procedures of the community dialogue. In previous work [2], social knowledge-building was analyzed as a cohesion-based collaboration assessment model applied to individual chats. This study extends the procedure after aggregating discussion threads from asynchronous discussion forums and performs a validation by comparison with the results of a manual content analysis based on a critical thinking framework [3]. The developed tool makes headway on applying learning analytics in field research on virtual CoPs.

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References

  1. Lave, J., Wenger, E.: Situated learning: Legitimate peripheral participation. Cambridge University Press, Cambridge (1991)

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  2. Dascalu, M., Trausan-Matu, S., Dessus, P.: Cohesion-based analysis of CSCL conversations: Holistic and individual perspectives. In: CSCL 2013, Madison, USA (2013)

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  3. Weltzer-Ward, L., Baltes, B., Knight Lynn, L.: Assessing quality of critical thought in online discussion. Campus-Wide Information Systems 26(3), 168–177 (2009)

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© 2013 Springer-Verlag Berlin Heidelberg

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Nistor, N., Dascalu, M., Trausan-Matu, S., Mihaila, D., Baltes, B., Smeaton, G. (2013). Virtual Communities of Practice in Academia: Automated Analysis of Collaboration Based on the Social Knowledge-Building Model. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds) Scaling up Learning for Sustained Impact. EC-TEL 2013. Lecture Notes in Computer Science, vol 8095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40814-4_82

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  • DOI: https://doi.org/10.1007/978-3-642-40814-4_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40813-7

  • Online ISBN: 978-3-642-40814-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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