Recommender system in collaborative learning environment using an influence diagram
Proposed a recommender system in a collaborative learning environment. Created an influence diagram using expert knowledge and student interactions data. The influence diagram offers a recommendation decision table. Machine learning methods analyze the decisions and offer a recommendation tree. The expert identifies four different scenarios in the recommendation tree.
recommender systems collaborative learning machine learning probabilistic graphical models data mining e-learning