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MASCE is a Multi-Agent System for Collaborative E-learning. One of the objectives of this system is to build groups for collaborative learning and to provide best potential helpers for peers. The motivation for building this system is that e-learning has become one of the most popular teaching methods in recent years. At the same time, in the computational intelligence field, the intelligent agent paradigm gained a tremendous interest in many application domains over the last two decades. Current paper in this area has approached integrating agents into educational systems. Static and dynamic parameters are used for modeling the students in a multi-agent environment for collaborative e-learning. Different computational intelligent techniques are used for clustering data.
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