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Online Collaboration: Individual Involvement Used to Predict Team Performance

  • Walkyria Goode
  • Guido Caicedo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8524)

Abstract

Social media – with its collaborative and interactive functionalities – is an ideal platform for collaboration. Several teams were asked to create material using a content management system. Log records were analyzed to measure group and individual participation. Direct and indirect measures of involvement are used as predictor variables. A model is proposed that uses system-tracked data to forecast team performance.

Keywords

collaboration collaborative computing team performance 

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References

  1. 1.
    American Psychological Association, Publication Manual of the American Psychological Association. American Psychological Association, Washington, DC (2010)Google Scholar
  2. 2.
    Crowne, D.P., Marlowe, D.: A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology 38, 349–354 (1960)CrossRefGoogle Scholar
  3. 3.
    Duffy, T.M., Cunningham, D.J.: Constructivism: Implications for the design and delivery of instruction. In: Jonassen, D. (ed.) Handbook of Research for Educational Communications and Technology, pp. 170–198. Simon & Schuster Macmillan, New York (1996)Google Scholar
  4. 4.
    Edmondson, A.: Psychological safety and learning behavior in work teams. Administrative Science Quarterly 44(2), 350–383 (1999)CrossRefGoogle Scholar
  5. 5.
    Feldman Barr, T., Dixon, A.L.: Exploring the “Lone Wolf” phenomenon in student teams. Journal of Marketing Education 27(1), 81–90 (2005)CrossRefGoogle Scholar
  6. 6.
    Katzenbach, J.R., Smith, D.K.: The Wisdom of Teams: Creating the High-performance Organization. Harvard Business School Press, Boston (1993)Google Scholar
  7. 7.
    Pfaff, E., Huddleston, P.: Does it matter if I hate teamwork? What impacts student attitudes toward teamwork. Journal of Marketing Education 25(1), 37–45 (2003)CrossRefGoogle Scholar
  8. 8.
    Salomon, G., Globerson, T.: When teams do not function the way they ought to. International Journal of Educational Research 13(1), 89–100 (1989)CrossRefGoogle Scholar
  9. 9.
    Shneiderman, B.: Tree visualization with tree-maps: 2-d space-filling approach. ACM Transactions on Graphics (TOG) 1, 92–99 (1992)CrossRefGoogle Scholar
  10. 10.
    Tarricone, P., Luca, J.: Successful teamwork: A case study. In: HERDSA 2002, pp. 640–646 (2002)Google Scholar
  11. 11.
    Van den Bossche, P., Gijselaers, W.H., Segers, M., Kirschner, P.A.: Social and cognitive factors driving teamwork in collaborative learning environments: Team learning beliefs and behaviors. Small Group Research 37(5), 490–521 (2006)CrossRefGoogle Scholar
  12. 12.
    Wageman, R.: Interdependence and group effectiveness. Administrative Science Quarterly 40, 145–180 (1995)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Walkyria Goode
    • 1
  • Guido Caicedo
    • 1
  1. 1.ESPAE-ESPOLGuayaquilEcuador

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