You are here:

Patterns of Interaction in a Networked Learning Community
PROCEEDINGS

, University of Southampton, United Kingdom ; , University of Sheffield, United Kingdom ; , University of Helsinki, Finland

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Washington, DC, USA ISBN 978-1-880094-54-9 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Full Text

Abstract

The aim of this paper is to study the nature of the interaction within a networked learning community (NLC), and the way its members share and construct knowledge together. Our goal is to explore interaction patterns among the members of a NLC and the quality of the discourse between its members. The paper is a short report of a continuing international study that is investigating networked collaborative learning among an advanced community of learners engaged in a master's program in e-learning. The study is undertaking empirical work using content analysis (CA), critical event recall (CER) and social network analysis (SNA). The first two methods are employed previously and we will use these results to analyze and interpret the social network studies conducted in this study. The paper reports some of the current findings of this work and discusses future prospects.

Citation

de Laat, M., Lally, V. & Lipponen, L. (2004). Patterns of Interaction in a Networked Learning Community. In J. Nall & R. Robson (Eds.), Proceedings of E-Learn 2004--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1846-1853). Washington, DC, USA: Association for the Advancement of Computing in Education (AACE). Retrieved June 2, 2023 from .

© 2004 Association for the Advancement of Computing in Education (AACE)

Keywords

References

View References & Citations Map
  1. Cho, H., Stefanone, M., & Gay, G. (2002). Social information sharing in a CSCL community. Paper presented at the CSCL2002, Boulder.
  2. De Laat, M. F. (2002). Network and content analysis in an online community discourse. Paper presented at the Networked learning conference, Sheffield.
  3. De Laat, M. F., & Lally, V. (2003). Complexity, theory and praxis: Researching collaborative learning and tutoring processes in a networked learning community. Instructional Science, 31(1-2), 7-39.
  4. De Laat, M. F., & Lally, V. (2004). It's not so e asy: Researching the Complexity of Emergent Participant Roles and Awareness in Asynchronous Networked Learning Discussions. Journal of Computer Assisted Learning, 20(3), 165-171.
  5. Gunawardena, C. N., Lowe, C. A., & Anderson, T. (1997). Analysis of global online debate and the development of an interaction analysis model for examining social construction of knowledge in computer conferencing. Journal of Educational Computing Research, 17(4), 397-431.
  6. Henri, F. (1992). Computer co nferencing and content analysis. In A. R. Kaye (Ed.), Collaborative learning through computer conferencing. London: Springer-Verlag.
  7. Lipponen, L., Rahikainen, M., Hakkarainen, K., & Palonen, T. (2002). Effective Participation and Discourse through a Computer Network: Investigating Elementary Students' Computer Supported Interaction. Journal of Educational Computing Research, 27(4), 355-384.
  8. Nurmela, K., Lehtinen, E., & Palonen, T. (1999). Evaluating CSCL log files by social network analysis. Proceedings of CSCL’99 (, December 1999), Palo Alto, CA.
  9. Palonen, T., & Hakkarainen, K. (2000). Patterns of interaction in computer supported learning: A social network analysis. Paper presented at the International Conference of the Learning sciences, Michigan.
  10. Reffay, C., & Chanier, T. (2003 ). How social network analysis can help to measure cohesion in collaborative distance- learning. In B. Wason, S. Ludvigson & U. Hoppe (Eds.), Designing for Change in Networked Learning. Proceedings of the International Conference on Computer Support for Collaborative Learning 2003 (pp. 343-352). Dordrecht: Kluwer.
  11. Reuven, A., Zippy, E., Gilad, R., & Aviva, G. (2003). Network analysis of knowledge construction in asynchronous learning networks. Journal of Asynchronous Learning Networks, 7(3), 1-23.
  12. Scott, J. (1991). Social network analysis: A handbook . London: Sage.
  13. Wasserman, S., & Faust, K. (1997). Social network analysis: Methods and applications. Cambridge: Cambridge university press.

These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.

Suggest Corrections to References

Also Read

Related Collections