Automatically identifying learning styles

Graf et al.(2009) Supporting Teachers in Identifying Students' Learning Styles in Learning Management Systems: An Automatic Student Modelling Approach, Journal of Educational Technology and Society 12(4)

Interesting paper that looks at automatically identifying a learner's learning style by their behaviour in a LMS. A behaviour is associated with each part of a LMS such as visiting a forum, or posing to the forum this is then mapped to a particular learning style. The authors use the Felder-Silverman learning style index. Each behaviour enforces or contradicts a Felder-Silverman learning preference.

The work is evaluated by comparing the results with using the traditional approach to identifying a Felder-Silverman learning style in learners - the ILS questionnaire. Results ranged from a precision of 73.33% to 79.33% - indicating a pretty decent accuracy.