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Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques
2018
JOIV: International Journal on Informatics Visualization
Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner's profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner's profile, it is easier to recommend a suitable set of learning objects to enhance the
doi:10.30630/joiv.2.4.158
fatcat:qbclyxa7b5dcjesftp3i7p6a6m