publication . Conference object . 2012

A widget to recommend learning resources based on the learner affective state

Leony, Derick; Pardo Sánchez, Abelardo; Parada Gélvez, Hugo A.; Delgado Kloos, Carlos;
Open Access English
  • Published: 01 Jan 2012
  • Publisher: Germany : RWTH Aachen
Abstract
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 b...
Subjects
free text keywords: affective state recommender, recommendation widget, affective computing, Telecomunicaciones
Related Organizations

1. Arroyo, I., Cooper, D., Burleson, W., Woolf, B., Muldner, K., Christopherson, R.: Emotion sensors go to school. In: Proceeding of the 2009 conference on Arti cial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to A ective Modelling, IOS Press (2009) 17{24

2. D'Mello, S., Graesser, A., Picard, R.: Toward an a ect-sensitive autotutor. Intelligent Systems, IEEE 22(4) (2007) 53{61

3. Lester, J., McQuiggan, S., Sabourin, J.: A ect recognition and expression in narrative-centered learning environments. New Perspectives on A ect and Learning Technologies (2011) 85{96 [OpenAIRE]

4. Fessl, A., Rivera-Pelayo, V., Muller, L., Pammer, V., Lindstaedt, S.: Motivation and user acceptance of using physiological data to support individual re ection. In: 2nd MATEL Workshop at European Conference for Technology Enhanced Learning (ECTEL 2011). (2011)

5. Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H., Koper, R.: Recommender systems in technology enhanced learning. Recommender Systems Handbook (2011) 387{415

6. Consortium, R.: ROLE Project. http://www.role-project.eu/ (2009-2012) Last visited July 2012.

Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Conference object . 2012

A widget to recommend learning resources based on the learner affective state

Leony, Derick; Pardo Sánchez, Abelardo; Parada Gélvez, Hugo A.; Delgado Kloos, Carlos;