Skip to main content

A Learning Dashboard to Monitor an Open Networked Learning Community

  • Chapter
  • First Online:
Open Networked "i-Learning"

Abstract

This chapter proposes an operational model to monitor and assess an Open Networked Learning Community. Specifically, the model is based on the Intellectual Capital framework, along the Human, Structural and Social dimensions. It relies on the social network analysis to map several and complementary perspectives of a learning network. Its application allows to observe and monitor the cognitive behaviour of a learning community, in the final perspective of tracking and obtaining precious insights for value generation.

The setting of the experimentation is a higher education community, framed within an International Master’s program involving 23 learners from different Mediterranean Countries, interconnected in a community of students, tutors, mentors and external stakeholders.

Some preliminary results of this application confirm the assumption that knowledge is a social product, and recognize the importance of the social aspects of learning, valuing the role of collective and personal relationships as the levers for learning networks success.

Referring to the six dimensions highlighted in Chap. 1, this chapter can be represented by the following radar.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Anderson P. (2006). ‘What is Web 2.0? Ideas, technologies and implications for education’, JISC Technology & Standards Watch Report.

    Google Scholar 

  • Aplin C.T. (2008). Innovative trends in learning tools. Journal of Cognitive Affective Learning, Oxford College of Emory University, 4(2); 1549–6953.

    Google Scholar 

  • Bassi L., Van Buren M.E. (2000). New measures for a new era, In Morey D., Maybury M. and Thuraisingham B. (eds) Knowledge Management: Classic and Contemporary Works, London: MIT Press.

    Google Scholar 

  • Becta (2007). Emerging Technologies for learning. Chapter 2, Coventry, UK.

    Google Scholar 

  • Bontis N. (1998). Intellectual capital: an explanatory study that develops measures and models. Management Decision, 36(2); 63–76.

    Article  Google Scholar 

  • Bontis N. (2001). Assessing knowledge assets: a review of the models used to measure Intellectual capital. International Journal of Management Reviews, 3(1); 41–60.

    Article  Google Scholar 

  • Borgatti S.P., Everett M.G. (1999). Models of Core/Periphery Structures, Social Networks, 21; 375–395.

    Google Scholar 

  • Borgatti, S.P. and Everett, M.G. (2006) A graph-theoretic framework for classifying centrality measures. Social Networks 28(4); 466–484.

    Google Scholar 

  • Degenne A., Lebeaux M.O. (2005). The dynamics of personal networks at the time of entry into adult life. Social Networks, 27; 337–358.

    Article  Google Scholar 

  • Delich P. (2006). Pedagogical and interface modifications: What instructors change after teaching online, Published doctoral dissertation, Pepperdine University, Malibu, CA, available at http://proquest.umi.com/pqdlink?Ver=1&Exp=09-09 2012&FMT=7&DID=1144195631&RQT=309&attempt=1

  • Doctorow C., Dornfest F., Johnson J.S., Powers S., Trott B., Trott, M.G. (2002). Essential Blogging, O’Reilly, Sebastopol, CA.

    Google Scholar 

  • Durland M., Fredericks K.A. (Eds.) (2006). Social Network Analysis in Program Evaluation: New Directions for Program Evaluation, No. 107. Jossey-Bass, San Francisco.

    Google Scholar 

  • Ebersbach A., Glaser M., Heigl R. (2006). Wiki: Web Collaboration, Springer, Berlin.

    Google Scholar 

  • Edvinsson L., Malone M.S. (1997). Intellectual Capital: Realizing your Company’s True Value by Finding Its Hidden Brainpower. Harper Business, New York.

    Google Scholar 

  • Geer R. (2000). Social interdependence in collaborative interactivity in an internet based learning environment, Magill Campus University of South Australia, available at http://www.unisanet.unisa.edu.au/cccc/papers/non_refereed/geer.htm

  • Goodyear P., De Laat M., Lally V. (2006). Using pattern languages to mediate theory-praxis conversations in designs for networked learning. ALT-J. Research in Learning Technology, 14(3); 211–223.

    Google Scholar 

  • Higgs B., McCarthy M. (2005). ‘Active learning – from lecture theatre to field-work’, in: O’Neill, G., Moore, S. & McMullin, B., (Eds) Emerging issues in the practice of university learning and teaching, Dublin, All Ireland Society for Higher Education [AISHE], 37–44.

    Google Scholar 

  • Johnson D.W., Johnson R.T. (1996). Cooperation and the use of technology, Handbook of Research for Educational Communication and Technology, J. David ed., pp. 1017–1044.

    Google Scholar 

  • Jonassen D.H., Peck K.L., Wilson B.G. (1999). Learning with Technology: A Constructivist Perspective, Merrill, Upper Saddle River, NJ.

    Google Scholar 

  • King J.L., Doerfert D.L. (1996). Interaction in the distance education setting, available at http://www.ssu.missouri.edu/ssu/Aged/NAERM/s-e-4.htm

  • Knight L. (2002). Network learning: exploring learning from interorganisational networks. Human Relations, 55(4); 427–454.

    Google Scholar 

  • Knoke D., Kuklinski J.H. (1982). Network analysis. Series in Quantitative Applications in the Social Sciences. London, UK: Sage University Papers, Sage Publications.

    Google Scholar 

  • Langan A.M., Cullen W.R., Shuker D.M. (2007). Student networks and learning styles: a case study exploring investigative projects. Proceedings of the Science Learning and Teaching Conference, Keele University, June.

    Google Scholar 

  • Lave J., Wenger E. (1991). Situated Learning: Legitimate Peripheral Participation. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Marr B., Schiuma G. (2001). Measuring and managing intellectual capital and knowledge assets in new economy organisations. In M. Bourne (Ed.), Handbook of performance measurement, pp 1–30. Gee, London.

    Google Scholar 

  • McLoughlin C., Lee M.J.W. (2008). The three P’s of pedagogy for the networked society: personalization, participation, and productivity. International Journal of Teaching and Learning in Higher Education. 20(1); 10–27.

    Google Scholar 

  • Miers J. (2004). BELTS or braces? Technology school of the future. Retrieved November 2006 from http://www.tsof.edu.au/research/Reports04/miers.asp

  • Neill J.T., Marsh H.W., Richards G.E. (2003). The life effectiveness questionnaire: development and psychometrics. Sydney: University of Western Sydney, available at http://wilderdom.com/abstracts/NeillMarchRichards2003LEQDevelopmentPsychometrics.htm

  • Palonen T., Hakkarainen K. (2000). Patterns of interaction in computer-supported learning: a social network analysis. In B. Fishman and S. O’Connor-Divelbiss (Eds.), Fourth International Conference of the Learning Sciences, pp. 334–339.

    Google Scholar 

  • Parker K.R., Chao J.T. (2007). Wiki as a teaching tool. Interdisciplinary Journal of Knowledge and Learning Objects, 3; 57–72.

    Google Scholar 

  • Penuel W.R., Sussex W., Korbak C., Hoadley C. (2006) Investigating the potential of using social network analysis in educational evaluation. American Journal of Evaluation, 27(4); 437–451.

    Article  Google Scholar 

  • Romano A. (2009). Open Business Innovation Leadership. The Emergence of the Stake-holder University. Palgrave Macmillan, New York.

    Google Scholar 

  • Romano A., Secundo G. (2009). Dynamic Learning Networks. Models and Case in Action. Springer, USA.

    Book  Google Scholar 

  • Rowley J. (2000). Is higher education ready for knowledge management? The International Journal of Educational Management, 14(7); 325–333.

    Google Scholar 

  • Saint-Onge H. (1996). Tacit knowledge: the key to strategic alignment of intellectual capital. Strategy and Leadership, 24(2); 10–14.

    Article  Google Scholar 

  • Scardamalia M., Bereiter C. (1994). Computer support for knowledge-building communities. Journal of the Learning Sciences, 3(3); 265–283.

    Article  Google Scholar 

  • Schaffert S., Bischof D., Buerger T., Gruber A., Hilzensauer W., Schaffert, S. (2006). Learning with semantic wikis, Proceedings of the First Workshop on Semantic Wikis–From Wiki To Semantics, Budva, Montenegro, 109–123.

    Google Scholar 

  • Schiuma G., Carlucci D. (2007). Knowledge asset value creation map – assessing knowledge asset value drivers using AHP. Expert Systems with Applications, 32(3); 814–821.

    Article  Google Scholar 

  • Scott J. (2004). Social Network Analysis. A handbook, SAGE Publications, Newbury Park, CA.

    Google Scholar 

  • Specia L., Motta, E. (2007). Integrating Folksonomies with the Semantic Web. In The Semantic Web: Research and Applications, Vol. 4519/2007, pp.624–639, Springer Berlin/Heidelberg.

    Google Scholar 

  • Senge P.M. (1990). The Fifth Discipline: The Art and Practice of the Learning. Doubleday, New York.

    Google Scholar 

  • Sfard A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27(2); 4–13.

    Google Scholar 

  • Siemens G. (2005). Connectivism: a learning theory for a digital age. International Journal of Instructional Technology and Distance Learning, 2(1). Retrieved December 11, 2005, from http://www.itdl.org/Journal/Jan_05/article01.htm

  • Sveiby K-E. (1997). The New Organizational Wealth, Berrett-Koehler, San Francisco.

    Google Scholar 

  • Sveiby K-E. (2004). Methods for measuring intangible assets, http://www.sveiby.com/articles/IntangibleMethods.htm

  • Tapscott D., Williams A.D. (2006). Wikinomics. How Mass Collaboration Changes Everything, Portfolio First Edition.

    Google Scholar 

  • Tharp R.G., Gallimore R. (1988). Rousing Minds to Life: Teaching, Learning, and Schooling in Social Context. Cambridge University Press, Cambridge, England.

    Google Scholar 

  • Van Buren ME. (2001). Making knowledge count: knowledge management systems and the human element, http://learning.ncsa.uiuc.edu/ahrd/papers/VanBuren.pdf

  • Vygotsky L. (1978). Interaction between Learning and Development. In Mind in Society, Harvard University Press (pp. 79–91), Cambridge, MA.

    Google Scholar 

  • Wassermann S., Faust K. (1994). Social Network Analysis: Methods and Applications, Cambridge University Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francesca Grippa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Grippa, F., Secundo, G., De Maggio, M. (2010). A Learning Dashboard to Monitor an Open Networked Learning Community. In: Elia, G., Poce, A. (eds) Open Networked "i-Learning". Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6854-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-6854-8_5

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-6853-1

  • Online ISBN: 978-1-4419-6854-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics