Combining Semantic Web and Educational Data Mining to Improve MOOCs

Fostering collaboration in a Learning Management System is certainly a great chal- lenge for tutors and teachers. In order to assist the instructors in this task, a possible solution might consist in a technological artifact which could support the tutoring process at different levels. The literature has generally proposed Intelligent Tutoring System based on a deterministic model of the process. In this paper an alternative idea is pursued by using a cognitive architecture based on the paradigm of the dis- tributed artificial intelligence in order to make the model of such process more adaptive and potentially open to a broader class of learning activities.

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