Identifying strategies in user's exploratory learning behaviour for mathematical generalisation
Mihaela Cocea, George D. Magoulas · Frontiers in artificial intelligence and applications · 2009
The nature of the activities that take place in Exploratory Learning Environments allow generating a variety of learner trajectories and makes difficult to develop a model of all possible behaviours (correct or incorrect). To alleviate this situation, we propose an approach for knowledge representation and identification of strategies followed by the learners during exploratory learning. Our approach combines heterogeneous sources of information and defines appropriate similarity measures for strategy identification. Some scenarios from the domain of mathematical generalisation are presented.