Advertisement

Identifying Hypermedia Browsing Strategies

A Statistical Approach
  • Kristian Kiili
  • Harri Ketamo
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 167)

Abstract

Browsing strategies have been studied mostly from the browsing patterns point of view. In this paper the browsing strategies have been approached with statistical methods. As a final result, a three-cluster browsing strategy model was defined according to empirical data, collected from web-based course. This model could be used as a background for constructing adaptive navigation for web-based learning material. Also a revised framework for navigation is presented.

Key words

hypermedia modelling learning materials 

References

  1. Canter, D., Rivers, R. & Storrs, G. (1985). Characterising user navigation through complex data structures. Behaviour and Information Technology, 4(2), 93–102.CrossRefGoogle Scholar
  2. Catledge, L. & Pitkov, J. (1995). Characterizing browsing strategies in the World-Wide-Web. In Computer Networks and ISDN systems (Vol 27), (pp. 1065–1073), Darmstadt, Germany: Elsevier Science.Google Scholar
  3. Lawless, K.A. & Kulikowich, J.M. (1998). Domain knowledge, interest, and hypertext navigation: A study of individual differences. Journal of Educational Multimedia and Hypermedia, 7(1), 51–70.Google Scholar
  4. Lawless, K.A., Mills, R. & Brown, S.W. (2003). Children’s Hypertext Navigation Strategies. Journal of Research and Technology in Education, 34(3), 274–284.CrossRefGoogle Scholar
  5. McAleese, R. (1989). Navigation and Browsing in Hypertext. In R. McAleese (Ed.), Hypertext theory into practice. (pp.6–44). Oxford, UK: Intellect Limited.Google Scholar
  6. Mullier, D., Hobbs, D. & Moore, D. (2002). Identifying and Using Hypermedia Browsing Patterns. Journal of Educational Multimedia and Hypermedia, 11(1), 31–50.Google Scholar
  7. Mullier, D. (1999) The application of neural network and fuzzy-logic techniques to educational hypermedia. Unpublished doctoral dissertation, Leeds Metropolitan University, United Kingdom. [online: www.lmu.ac.uk/ies/comp/staff/dmullier/].Google Scholar
  8. Reed, W.M. & Oughton, J.M. (1997). Computer experience and interval based hypermedia navigation. Journal of Research of Computing in Education, 30(1), 38–52.CrossRefGoogle Scholar
  9. Spence, R. (1999). A framework for navigation. International Journal of Human-Computer Studies. 51, 919–945.CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2005

Authors and Affiliations

  • Kristian Kiili
    • 1
  • Harri Ketamo
    • 1
  1. 1.Tampere University of TechnologyPoriFinland

Personalised recommendations