post processing method that acts on two- dimensional clusters of user data to produce dead bands and...
TRANSCRIPT
Post processing method that acts on two-dimensional clusters of user data to
produce dead bands and improve classification
David SandersReader – University of Portsmouth
Senior Research Fellow – Royal Academy of Engineering.
Research Aims
To create new intelligent software tools
to assist in using the Internet
School’s Server& CITA filter
The Internet
School’s clients
Teacher’s PC
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
New intelligent agent system
New intelligent agent system
New intelligent agent system
New intelligent agent systemAlready 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
Experiment
Experiment results
Rules found to determine learning style Active/Reflective Visual/Verbal
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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/
Reflective81% 58%