Analyze Me: Open Learner Model in an Adaptive Web Testing System

This paper presents the open learner modelling capabilities offered by an adaptive web testing tool. Adaptation decisions are based on user customizable compound rules requiring the identification of several learner characteristics which are then displayed graphically and textually to learners and educators. The open learner modelling capabilities include anonymous access to models of peers and restricted named access to friend peers. Opening the learner profiles supports learner and educator involvement in decision making so as to create a more credible learner model. The educational advantages of the open learner modelling capabilities are discussed on the basis of an evaluative study.

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