Affective issues in Semantic Educational Recommender Systems

Olga C. Santos, Jesus Boticario
2012 European Conference on Technology Enhanced Learning  
Addressing affective issues in the recommendation process has shown their ability to increase the performance of recommender systems in non-educational scenarios. In turn, affective states have been considered for many years in developing intelligent tutoring systems. Currently, there are some works that combine both research lines. In this paper we discuss the benefits of considering affective issues in educational recommender systems and describe the extension of the Semantic Educational
more » ... mender Systems (SERS) approach, which is characterized by its interoperability with e-learning services, to deal with learners' affective traits in educational scenarios.
dblp:conf/ectel/SantosB12 fatcat:eiuxarsxobggfbfpwxhugrhcey