Recommender system in collaborative learning environment using an influence diagram

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Recommender systems,Probabilistic graphical models,Collaborative learning,Data mining,Machine learning,e-Learning

论文评审过程：Available online 13 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.030