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Social Networking Services in E-Learning PROCEEDINGS

, Fachhochschule Südwestfalen, Germany ; , Freie Universität Berlin, Germany

AACE Award

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Montréal, Quebec, Canada ISBN 978-1-880094-98-3 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

This paper is a report on the findings of a study conducted on the use of the social networking service NING in a cross-location e-learning setting named “Net Economy”. We describe how we implemented NING as a fundamental part of the setting through a special phase concept and team building approach. With the help of user statistics, we examine the value of the implemented social networking service with regard to the need for a social presence, as emphasized by the Community of Inquiry framework. Findings indicate that NING led to a well-meshed network of relationships among the students from the participating locations and that the development of these relationships was fundamentally influenced by the chosen phase concept and team building approach. Further, we show that with the help of social networking services, interconnections between students in virtual teams become more transparent and can be influenced systematically.

Citation

Weber, P. & Rothe, H. (2012). Social Networking Services in E-Learning. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2012--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 1 (pp. 1955-1965). Montréal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved October 21, 2018 from .

Keywords

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References

  1. Anderson, T., Rourke, L., Garrison, D.R., & Archer, W. (2001). Assessing teacher presence in a computer conferencing context. Journal of Asynchronous Learning Networks, 5(2), 1 – 17.
  2. Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D. (2006). Complex networks: Structure and dynamics. Physics reports, 424(4), 175– 308.
  3. Borgatti, S., & Everett, M. (2006). A graph-theoretic perspective on centrality. Social networks, 28(4), 466 – 484.
  4. Boyd, D., & Ellison, N.B. (2007). Social Network Sites: Definition, History, and Scholarship. Journal of ComputerMediated Communication, 13(1-2).-1963 DASHDASH
  5. Carmines, E., & Zeller, R. (1979). Reliability and validity assessment (Vol. 17): Sage Publications, Inc.
  6. Colazzo, L., Magagnino, F., Molinari, A., & Villa, N. (2008). From e-learning to Social Networking: a Case Study. In C.J. Bonk, M.M. Lee, & T. Reynolds (Eds.), Proceedings of World Conference on E-Learning inCorporate,
  7. Dalsgaard, C. (2008). Social networking sites: Transparency in online education. Http://eunis.dk/papers/p41.pdf, Retrieved on July 24, 2012.
  8. Gabriel, R., Gersch, M., Weber, P., Le, S., & Lehr, C. (2009). Enhancing Professional, Media, and Social Competencies through International Collaborative E-Learning. In T. Bastiaens, J. Dron, & C. Xin (Eds.),
  9. Garrison, D.R. (2011). E-learning in the 21st century: A framework for research and practice (2nd ed.). New York: Routledge.
  10. Garrison, D.R., Anderson, T., & Archer, W. (2001). Critical thinking, cognitive presence and computer conferencing in distance education. American Journal of of Distance Education, 15(1), 7 – 23.
  11. Gersch, M., Lehr, C., & Weber, P. (2011). VIRTUAL COLLABORATIVE LEARNING IN INTERNATIONAL SETTINGS–
  12. Hamat, A., Embi, M.A., & Hassan, H.A. (2012). The Use of Social Networking Sites among Malaysian University Students. International Education Studies, 5(3), 56– 66.
  13. Hartshorne, R., & Ajjan, H. (2009). Examining student decisions to adopt Web 2.0 technologies: theory and empirical tests. J. Computing in Higher Education, 21(3), 183 – 198.
  14. Hu, Y. (2005). Efficient, high-quality force-directed graph drawing. Mathematica Journal, 10(1), 37– 71.
  15. Liu, M., Kalk, D., Kinney, L., & Orr, G. (2012). Web 2.0 and Its Use in Higher Education from 2007-2009: A Review of Literature. International Journal on E-Learning, 11(2), 153(cid:1)179.
  16. Mendoza, S. (2009). The Trinity of Community: Google, Facebook and Twitter. In T. Bastiaens, J. Dron, & C. Xin
  17. Roblyer, M.D., McDaniel, M., Webb, M., Herman, J., & Witty, J.V. (2010). Findings on Facebook in higher education: A comparison of college faculty and student uses and perceptions of social networking sites. The Internet and Higher Education, 13(3), 134(cid:1)140.
  18. Safran, C., Helic, D., & Gütl, C. (2007). E-Learning practices and Web 2.0. In Proceedings of the International Conference on Interactive Computer Aided Learning (pp. 1– 8).
  19. Scott, J. (1988). Social network analysis. Sociology, 22(1), 109.
  20. Watts, D., & Strogatz, S. (1998). Collective dynamics of‘ small-world ’ networks. Nature, 393(6684), 440 – 442.

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