E-learning is an electronic teaching model that can be adapted to each student's learning styles. The lack of learning objects (LOs) that can be recommended to students is an open problem. Another challenge is the recommendation of LOs. To solve them, we implement an approach that uses Wikipedia content to create new educational resources considering an ontology which models students and LOs. The problem of recommending LOs is formalized, and then a genetic algorithm (GA) is presented to solve it. The tests carried out on a prototype guarantee the viability of this approach to solve these problems, showing that the GA is superior to a random algorithm.

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