A Widget to Recommend Learning Resources Based on the Learner Affective State
| Autor: | Leony, Derick, Pardo Sánchez, Abelardo, Parada Gélvez, Hugo A., Delgado Kloos, Carlos |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
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| Zdroj: | e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname |
| Popis: | Proceedings of: 3rd International Workshop on Motivational and Affective Aspects in Technology Enhanced Learning (MATEL 2012), Saarbrücken, Germany, 18-19 September , 2012. This paper describes the Learning Resources A ective Recommender, a widget that recommends resources to the learner based on her current a ective state and her learning objectives. The widget is meant to be used in a Personalized Learning Environment in combination with widgets to search for resources. The architecture that supports the widget follows a client-server pattern, with the widget as the client and a recommendation service on the server side. The paper includes the description of both client and server and a discussion about the possibilities of this approach. Work partially funded by the EEE project, "Plan Nacional de I+D+I TIN2011-28308-C03-01", the "eMadrid: Investigación y desarrollo de tecnolog as para el e-learning en la Comunidad de Madrid" project (S2009/TIC-1650), and "Consejo Social - Universidad Carlos III de Madrid". Publicado |
| Databáze: | OpenAIRE |
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