Recommendations support in standard-based learning management systems
نویسنده
چکیده
This research is focused on a semantic recommendations model that affects the life cycle of eLearning and can be used to build a knowledge-based recommender system to provide adaptive capabilities to existing learning management systems with the aim to support users in an inclusive and personalized way.
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تاریخ انتشار 2009