A Cloud-Based Architecture for an Affective Recommender System of Learning Resources

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Provided by: Universidad Autononoma de Madrid
Topic: Cloud
Format: PDF
One of the most common functionalities in cloud-based learning environments is the recommendation of learning resources. Many approaches have been proposed to deploy recommender systems into an educational environment. Currently, there is an increasing interest in including affective information into the process to generate the recommendations for the learner. In this paper, the authors propose a cloud-based architecture for a system that recommends learning resources according to the affective state of the learner. Furthermore, they provide the details of an implementation of the architecture along with a discussion on the advantages and disadvantages of the proposal.
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