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.

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

Caught In The Act (CITA) filter ! X

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

New intelligent agent system

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

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

Experiment

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

Five most significant parameters to predict Active / Reflective:

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

Dead band

Overlap

Dead band

Overlap

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