Expert Systems with Applications: An International Journal
Content-free collaborative learning modeling using data mining
User Modeling and User-Adapted Interaction
Activity sequence modelling and dynamic clustering for personalized e-learning
User Modeling and User-Adapted Interaction
Modelling symmetry of activity as an indicator of collocated group collaboration
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Discovery of Web user communities and their role in personalization
User Modeling and User-Adapted Interaction
Evaluating automatic group formation mechanisms to promote collaborative learning - a case study
International Journal of Learning Technology
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When students are responsible for their own collaborative learning process, they need information on collaboration to manage the process. We note that collaborative environments fail to provide users with information on the collaboration process. This research proposes an open collaborative learning experience design that provides learners with an environment where they can manage the collaboration. The design provides information on collaboration to improve management. An inferring method, which uses statistical indicators of student interaction in forums and data mining technology, works to obtain information on student collaboration and groups students according to their level of collaboration. This information will be shown to students and tutors to improve the learning process and its management.