Skip to main content
SpringerLink
Log in

Computational analysis and mapping of ijCSCL content

  • Published:
International Journal of Computer-Supported Collaborative Learning Aims and scope Submit manuscript

Abstract

The purpose of this empirical study is to analyze and map the content of the International Journal of Computer-Supported Collaborative Learning since its inception in 2006. Co-word analysis is the general approach that is used. In this approach, patterns of co-occurrence of pairs of items (words or phrases) identify relationships among ideas. Distances based on co-occurrence frequencies measure the strength of these relationships. Hierarchical clustering and multidimensional scaling are the two complementary exploratory methods relying on these distances that are used to analyze and map the data. Some interesting findings of the work include a map of the key topics covered in the journal and a set of complementary techniques for investigating more specific questions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  • Beale, A. D. (1987). Towards a distributional lexicon. In R. Garside, G. Leech, & G. Sampson (Eds.), The computational analysis of English: A corpus-based approach (pp. 149–162). London: Longman.

    Google Scholar 

  • Callon, M., Courtial, J.-P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235.

    Article  Google Scholar 

  • Cress, U., & Kimmerle, J. (2008). A systemic and cognitive view on collaborative knowledge building with wikis. International Journal of Computer-Supported Collaborative Learning, 3(2), 105–122.

    Article  Google Scholar 

  • Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41, 391–407.

    Article  Google Scholar 

  • Ding, Y., Chowdhury, G., & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing and Management, 37(6), 817–842.

    Google Scholar 

  • Dohn, N. (2009). Web 2.0: Inherent tensions and evident challenges for education. International Journal of Computer-Supported Collaborative Learning, 4(3), 343–363.

    Article  Google Scholar 

  • Edwards, D. (1995). Graphical Modeling. In W. J. Krzanowski (Ed.), Recent advances in descriptive multivariate analysis (pp. 135–156). Oxford, New York: Clarendon Press.

  • Fischer, G., Rohde, M., & Wulf, V. (2007). Community-based learning: The core competency of residential, research-based universities. International Journal of Computer-Supported Collaborative Learning, 2(1), 9–40.

    Article  Google Scholar 

  • Francis, J. G. F. (1961). The QR transformation, I. The Computer Journal, 4(3), 265–271.

    Article  Google Scholar 

  • Glassman, M., & Kang, M. J. (2011). The logic of wikis: The possibilities of the Web 2.0 classroom. International Journal of Computer-Supported Collaborative Learning, 6(1), 93–112.

    Article  Google Scholar 

  • Grefenstette, G. (1994). Explorations in automatic thesaurus discovery. Boston: Kluwer Academic Publishers.

    Book  Google Scholar 

  • Hung, D., Lim, K. Y. T., Chen, D.-T. V., & Koh, T. S. (2008). Leveraging online communities in fostering adaptive schools. International Journal of Computer-Supported Collaborative Learning, 3(4), 373–386.

    Article  Google Scholar 

  • Jardine, N., & Sibson, R. (1971). Mathematical taxonomy. New York: Wiley.

    Google Scholar 

  • Kienle, A., & Wessner, M. (2006). An analysis of the CSCL community: Development of participation. International Journal of Computer-Supported Collaborative Learning, 1(1), 9–33.

    Article  Google Scholar 

  • Kim, S.-S., Kwon, S., & Cook, D. (2000). Interactive visualization of hierarchical clusters using MDS and MST. Metrika, 51(1), 39–51.

    Article  Google Scholar 

  • Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43, 59–69.

    Article  Google Scholar 

  • Kruskal, J. B., & Wish, M. (1978). Multidimensional scaling. Sage University Paper series on Quantitative Application in the Social Sciences, 07-011. Beverly Hills: Sage Publications.

    Google Scholar 

  • Langfelder, P., Zhang, B., & Horvath, S. (2008). Defining clusters from a hierarchical cluster tree: The dynamic tree cut package for R. Bioinformatics, 24(5), 719–720.

    Article  Google Scholar 

  • Larusson, J. A., & Altermann, R. (2009). Wikis to support the “collaborative” part of collaborative learning. International Journal of Computer-Supported Collaborative Learning, 4(4), 371–402.

    Article  Google Scholar 

  • Liu, X., Bollen, J., Nelson, M. L., & Van de Sompel, H. (2005). Co-authorship networks in the digital library research community. Information Processing and Management, 41, 1462–1480.

    Article  Google Scholar 

  • Lund, A., & Rasmussen, I. (2008). The right tool for the wrong task? Match and mismatch between first and second stimulus in double stimulation. International Journal of Computer-Supported Collaborative Learning, 3(4), 387–412.

    Article  Google Scholar 

  • MacQueen, J. B. (1967). Some Methods for classification and Analysis of Multivariate Observations. In Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability (pp. 281–297). Berkeley: University of California Press.

  • Nett, B. (2008). A community of practice among tutors enabling student participation in a seminar preparation. International Journal of Computer-Supported Collaborative Learning, 3(1), 53–67.

    Article  Google Scholar 

  • Pifarré, M., & Staarman, J. K. (2011). Wiki-supported collaborative learning in primary education: How a dialogic space is created for thinking together. International Journal of Computer-Supported Collaborative Learning, 6(2), 187–205.

    Article  Google Scholar 

  • Porter, M. F. (1980). An algorithm for suffix stripping. Program, 14(3), 130–137.

    Article  Google Scholar 

  • Price, D., & Beaver, D. (1966). Collaboration in an invisible college. American Psychologist, 21, 1011–1018.

    Article  Google Scholar 

  • Salton, G., & McGill, M. J. (1986). Introduction to modern information retrieval. New York: Mc Graw-Hill, Inc.

    Google Scholar 

  • Spearman, C. (1950). Human ability. London: Macmillan.

    Google Scholar 

  • Stahl, G. (2002). Contributions to a theoretical framework for CSCL. In G. Stahl (Ed.), Proceedings International Conference of Computer Supported Collaborative Learning, CSCL’2002 (pp. 62–71).

  • Steinbach, M., Karypis, G. & Kumar, V. (2000). A comparison of document clustering techniques. University of Minnesota, Technical report #00-034. http://www.cs.fit.edu/~pkc/classes/ml-internet/papers/steinbach00tr.pdf

  • White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32, 163–171.

    Article  Google Scholar 

  • White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author co-citation analysis of information science, 1972–1995. Journal of the American Society for Information Science, 49, 327–355.

    Google Scholar 

  • Zellig, H. (1954). Distributional structure. Word, 10(2/3), 146–162.

    Google Scholar 

  • Zipf, G. K. (1932). Selected studies of the principle of relative frequency in language. Cambridge: Harvard University Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. LORIA-Université de Lorraine, Campus Scientifique, BP239, 54506, Vandœuvre-lès-Nancy Cedex, France

    Jacques Lonchamp

Authors
  1. Jacques Lonchamp
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jacques Lonchamp.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lonchamp, J. Computational analysis and mapping of ijCSCL content. Computer Supported Learning 7, 475–497 (2012). https://doi.org/10.1007/s11412-012-9154-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11412-012-9154-z

Keywords

Search

Navigation