1. Post processing method that acts on two- dimensional clusters of user data to produce dead bands and improve classification David Sanders Reader – University of Portsmouth Senior Research Fellow – Royal Academy of Engineering.

2. Research Aims To create new intelligent software tools to assist in using the Internet

3. Caught In The Act (CITA) filter ! X

4. New intelligent agent system  Flexible filtering based on subject  Student learning style  Determined automatically  Suitable pages suggested  Collaboration based on page suggestions

5. New intelligent agent system

9. Already existing:  Web page filters based on contents  Collaboration tools Rules needed to:  Infer user learning style from behaviour  Infer suitability of pages for each style

10.  Felder-Silverman dimensions of learning style  Active / Reflective Dimension

11. Experiment

14. Experiment results  Rules found to determine learning style  Active/Reflective  Visual/Verbal  Not enough document ratings available

15. Five most significant parameters to predict Active / Reflective:

16. Dimension% Actives 57% Reflectives 43% Distribution of dimensions over sample population

18. Dead band

19. Overlap

20. Dead band

21. Overlap

22. Accuracy with Dead Bands Naïve pred. Accuracy Active/ Reflective 81%58%