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Technology, Knowledge and Learning

, Volume 24, Issue 4, pp 621–639 | Cite as

Social Network Analysis: A Framework for Identifying Communities in Higher Education Online Learning

  • Shazia K. JanEmail author
  • Panos Vlachopoulos
Original research

Abstract

This paper presents the Integrated Methodological Framework (IMF) which uses social network analysis (SNA) to structurally identify communities in higher education online learning (HEOL). Decades of research speaks for the value of community-based learning albeit in traditional, blended, or online environments. The communities of practice (CoP) and community of inquiry (CoI) are well-established, empirically tested frameworks that have been effectively used for exploration of community-based learning in professional and educational contexts. Typically, research using these frameworks has required extensive qualitative analysis making it tedious and time-consuming. Pivoting on structural similarities between networks and communities, the IMF embeds SNA constructs in structural components of the CoP and CoI frameworks. By structurally identifying a CoP and CoI, the IMF allows targeted, selective qualitative analysis thus reducing the extent of qualitative analysis required previously in research using the CoP and CoI frameworks. Application of the IMF is demonstrated in a case study on an online blogging network. The study substantiates the IMF as an effective framework for structural identification of a CoP and CoI. The validity and robustness of the IMF is being further tested in ongoing research.

Keywords

Social network analysis Learning analytics Online learning Communities of practice Community of inquiry Methodological framework 

Notes

Acknowledgements

The research has been funded through the Macquarie University Research Excellence Scholarship, Macquarie University.

Compliance with Ethical Standards

Conflict of interest

None.

References

  1. Biza, I., Jaworski, B., & Hemmi, K. (2014). Communities in university mathematics. Research in Mathematics Education, 16(2), 161–176.  https://doi.org/10.1080/14794802.2014.918351.CrossRefGoogle Scholar
  2. Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet 6 for windows: Software for social network analysis. Harvard, MA: Analytic Technologies. https://www.bibsonomy.org/bibtex/2760c85a6db2aa933963b1410aaee04c7/cabird.
  3. Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Analyzing social networks. SAGE Publications. Kindle Edition. Retrieved from Amazon.com.
  4. Borgatti, S. P., & Molina, J. L. (2003). Ethical and strategic issues in organizational social network analysis. The Journal of Applied Behavioral Sciences, 39(3), 337–349.  https://doi.org/10.1177/0021886303258111.CrossRefGoogle Scholar
  5. Bower, M. (2017). Design of technology-enhanced learning: Integrating research and practice. Bingley: Emerald Publishing.CrossRefGoogle Scholar
  6. Carolan, B. V. (2014). Social network analysis and education: Theory, methods and applications. Los Angeles: SAGE.Google Scholar
  7. Cela, K. L., Sicilia, M. A., & Sanchez, S. (2015). Social network analysis in e-learning environments: A preliminary systematic review. Educational Psychology Review, 27, 219–246.  https://doi.org/10.1007/s10648-014-9276-0.CrossRefGoogle Scholar
  8. Conole, G., Galley, R., & Culver, J. (2011). Frameworks for understanding the nature of interactions, networking, and community in a social networking site for academic practice. International Review of Research in Open and Distributed Learning, 12(3), 119–138.CrossRefGoogle Scholar
  9. Cross, R., Laseter, T., Parker, A., & Velasquez, G. (2006). Using social network analysis to improve communities of practice. California Management Review, 49(1), 32–60.  https://doi.org/10.2307/41166370e/10.CrossRefGoogle Scholar
  10. De Laat, M., & Prinsen, F. R. (2014). Social learning analytics: Navigating the changing settings of higher education. Research & Practice in Assessment, 9, 51–60. http://hdl.handle.net/1820/5870.
  11. Emirbayer, M. (1997). Manifesto for a relational sociology. American Journal of Sociology, 103(2), 281–317.CrossRefGoogle Scholar
  12. Fink, J. E., & Inkelas, K. K. (2015). A history of learning communities within American higher education. New Directions for Student Services, 2015, 5–15.CrossRefGoogle Scholar
  13. Garrison, D. R. (2017). E-learning in the 21st century. New York and London: Routledge.Google Scholar
  14. Garrison, D. R., & Anderson, T. (2003). E-learning in the 21st century: A framework for research and practice. London: Routledge/Falmer.CrossRefGoogle Scholar
  15. Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2–3), 87–105.  https://doi.org/10.1016/S1096-7516(00)00016-6.CrossRefGoogle Scholar
  16. Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7, 95–105.  https://doi.org/10.1016/j.iheduc.2004.02.001.CrossRefGoogle Scholar
  17. Grunspan, D. Z., Wiggins, B. L., & Goodreau, S. M. (2014). Understanding classrooms through social network analysis: A premier for social network analysis in education research. Research Methods, 13, 167–178.Google Scholar
  18. Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Retrieved from http://faculty.ucr.edu/~hanneman/Hughes. Accessed August 2017.
  19. Jan, S. (2018). Identifying online communities of inquiry in higher education using social network analysis. Research in Learning Technology.  https://doi.org/10.25304/rlt.v26.2064.
  20. Jan, S. K., & Vlachopoulos, P. (in press). Influence of learning design on the formation of online communities of learning. International Review of Research in Open and Distributed Learning. Google Scholar
  21. Jan, S. K., Vlachopoulos, P., & Parsell, M. (in press). Social network analysis and learning communities in higher education online learning: A systematic literature review. Online Learning Journal. Google Scholar
  22. Jewson, N., & Unwin, L. (2007). Introduction. In J. Hughes, N. Jewson, & L. Unwin (Eds.), Communities of practice: Critical perspectives. London: Routledge.CrossRefGoogle Scholar
  23. Jimoyiannis, A., Tsiotakis, P., & Roussinos, D. (2012). Blogs in higher education: Analysing students’ participation and presence in a community of blogging. Paper presented at the proceedings of the IADIS international conference e-learning 2012.Google Scholar
  24. LAK. (2011). 1st international conference on learning analytics and knowledge. Retrieved from https://tekri.athabascau.ca/analytics/.
  25. Laumann, E. O., Marsden, P. V., & Prensky, D. (1983). The boundary specification problem in network analysis. In R. S. Burt & M. J. Minor (Eds.), Applied network analysis (pp. 18–34). London: Sage.Google Scholar
  26. Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge: Cambridge University Press.  https://doi.org/10.1017/CBO9780511815355.CrossRefGoogle Scholar
  27. Lockyer, L., Heathcote, E., & Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist, 57(10), 1439–1459.  https://doi.org/10.1177/0002764213479367.CrossRefGoogle Scholar
  28. Rissen, H. S., & Bottoms, S. (2014). “Newbies” and “Celebrities”: Detecting social roles in an online network of teachers via participation patters. International Journal of Computer-Supported Collaborative Learning, 9, 433–450.CrossRefGoogle Scholar
  29. Seaman, J. E., Allen, I. E., & Seaman, J. (2018). Grade increase: Tracking distance education in the United States. Retrieved from https://onlinelearningsurvey.com/reports/gradeincrease.pdf. Accessed February 2018.
  30. Shea, P., & Bidjerano, T. (2010). A re-examination of the community of inquiry framework: Social network and content analysis. Internet and Higher Education, 13, 10–21.  https://doi.org/10.1016/j.iheduc.2009.11.002.CrossRefGoogle Scholar
  31. Shea, P., Hayes, S., Smith, S. U., Vickers, J., Bidjerano, T., Gozza-Cohen, M., et al. (2013). Online learner self-regulation: Learning presence viewed through quantitative content- and social network analysis. IRRODL, 14(3), 427–461.  https://doi.org/10.19173/irrodl.v14i3.1466.CrossRefGoogle Scholar
  32. Shum, S. B., & Ferguson, R. (2012). Social learning analytics. Educational Technology & Society, 15(3), 3–26.Google Scholar
  33. Smith, S. U., Hayes, S., & Shea, P. (2017). A critical review of the use of Wenger’s community of practice (CoP) theoretical framework in online and blended learning research, 2000–2014. Online Learning, 21(1), 209–237.  https://doi.org/10.24059/olj.v21i1.963.
  34. Soctnetv. (2017). Social network visualizer 2.3. Downloaded from http://socnetv.org/.
  35. Swan, K., Garrison, D. R., & Richardson, J. C. (2009). A constructivist approach to online learning: The community of inquiry framework. In C. R. Payne (Ed.), Information technology and constructivism in higher education: Progressive learning frameworks (pp. 43–57). Hershey, PA: IGI Global.CrossRefGoogle Scholar
  36. Tirado, R., Hernando, Á., & Aguaded, J. I. (2015). The effect of centralization and cohesion on the social construction of knowledge in discussion forums. Interactive Learning Environments, 23(3), 293–316.CrossRefGoogle Scholar
  37. University of Adelaide. (2017). Differences between discussion boards, blogs and wikis. www.adelaide.edu.au/myuni/staff/resources/tutorials/content/Differences_between_Discussion_Boards__Blogs_and_Wikis.html. Accessed on August 20, 2017.
  38. Wasserman, S., & Faust, K. (1994). Social network analysis. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  39. Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. New York, NY: Cambridge University Press.  https://doi.org/10.1017/cbo9780511803932.CrossRefGoogle Scholar
  40. Wenger, E., McDermott, R., & Snyder, W. (2002). Cultivating communities of practice: A guide to managing knowledge. Cambridge, MA: Harvard Business School Press.Google Scholar
  41. Wenger, E., Trayner, B., & de Laat, M. (2011) Promoting and assessing value creation in communities and networks: A conceptual framework. Rapport 18, Ruud de Moor Centrum, Open University of the Netherlands.Google Scholar
  42. Wenger, E., White, N., & Smith, J. (2009). Digital habitats: Stewarding technology for communities. Portland, OR: CPsquare.Google Scholar
  43. Zhao, C., & Kuh, G. D. (2004). Adding value: Learning communities and social engagement. Research in Higher Education, 45(2), 115–138.CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Macquarie UniversitySydneyAustralia
  2. 2.Macquarie UniversitySydneyAustralia

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