Towards modeling the learner's concentration in e-learning environments

Abstract

Learners' concentration is an important factor to consider in e-learning in order to assess learners and the learning process. Despite the importance of this factor, limited work has been made to model it. Therefore, this study displays a generic approach to model the learner's concentration in e-learning environments. This approach identifies first from different definitions the type of traces that should be collected. It then presents a classification algorithm to analyze these traces and model the learner's concentration. Furthermore, this study presents a case study to validate this approach.