A cloud-based architecture for an affective recommender system of learning resources

Přispěvatelé:	Leony, Derick, Pardo, Abelardo, Parada G, Hugo A, Kloos, Carlos Delgado, 1st International Workshop on Cloud Education Environments, WCLOUD 2012 Antigua, Guatemala 15-16 November 2012
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	cloud educational environment affective recommendation learning resourcere commendation
Popis:	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, we propose a cloud-based architecture for a system that recommends learning resources according to the affective state of the learner. Furthermore, we provide the details of an implementation of the architecture along with a discussion on the advantages and disadvantages of the proposal. Refereed/Peer-reviewed
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=od______1231::c18eceb5fd75f474e67e0dbf15cca546 https://hdl.handle.net/11541.2/132866 Zobrazit plný text záznamu