Adaptive learning path recommender approach using auxiliary learning objects

In e-learning, one of the main difficulties is recommending learning materials that users can complete on time. It becomes more challenging when users cannot devote enough time to learn the entire course. In this paper, we describe two approaches to maximize users’ scores for a course while satisfying their time constraints. These approaches recommend successful paths based on the available time and knowledge background of users. We first...