An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering

@article{Garca2008AnAF,
  title={An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering},
  author={Enrique Garc{\'i}a and Crist{\'o}bal Romero and Sebasti{\'a}n Ventura and Carlos de Castro},
  journal={User Modeling and User-Adapted Interaction},
  year={2008},
  volume={19},
  pages={99-132}
}
Nowadays we find more and more applications for data mining techniques in e-learning and web-based adaptive educational systems. The useful information discovered can be used directly by the teacher or author of the course in order to improve instructional/learning performance. This can, however, imply a lot of work for the teacher who can greatly benefit from the help of educational recommender systems for doing this task. In this paper we propose a system oriented to find, share and suggest… CONTINUE READING

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