Development of an Ontology of Learning Strategies and its Application to Generate Open Learner Models

The multi-strategy machine learning system (MSMLS) represents knowledge about each learning strategy and uses this to handle the learning strategy selection problem. This is used to model the student´s learning strategy (mis)selection. Plausible justification trees are generated for the learning strategies, one of which is correct while the others lead to a mis-learning. The mistake by the student is traced back to either a mistake in the application of the subject knowledge or a mistake in the learnt knowledge. Learnt knowledge mistakes are traced to the inappropriate learning strategy being used. The trace through the wrong choice of learning strategy is ´opened´ to the student. This will both, correct the particular error and help in changing the errors in the learning behavior of the student.