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One of the most prominent stakes of the online learning is learner's autonomy. Adaptive e-learning will permit frameworks use improvement by suggesting courses adapted to results, behaviors, preferences, tastes, learners, without any awareness of it that can be noticed by them. In the paper, the authors have proposed a hybrid approach based on the Ants colonies' optimization algorithm to recommend a learning course which fit in the best manner into learner's profiles. These courses are dynamically built using elementary pedagogical objects which can be organized in a graph. The filtering algorithm is used to arrange learners into groups based on similarities to accelerate the proposal process.
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