Incorporating proactivity to context-aware recommender systems for e-learning

Gallego Vico, Daniel; Barra Arias, Enrique; Rodríguez Pérez, Pedro y Huecas Fernández Toribio, Gabriel (2013). Incorporating proactivity to context-aware recommender systems for e-learning. En: "World Congress on Computer and Information Technology (WCCIT 2013)", 22/06/2013 - 24/06/2013, Sousse, Tunisia. pp. 1-6.

Descripción

Título: Incorporating proactivity to context-aware recommender systems for e-learning
Autor/es:
  • Gallego Vico, Daniel
  • Barra Arias, Enrique
  • Rodríguez Pérez, Pedro
  • Huecas Fernández Toribio, Gabriel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: World Congress on Computer and Information Technology (WCCIT 2013)
Fechas del Evento: 22/06/2013 - 24/06/2013
Lugar del Evento: Sousse, Tunisia
Título del Libro: World Congress on Computer and Information Technology (WCCIT 2013)
Fecha: 2013
Materias:
Palabras Clave Informales: Proactivity, Context-awareness, E-learning, Recommender Systems
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Recommender systems in e-learning have proved to be powerful tools to find suitable educational material during the learning experience. But traditional user request-response patterns are still being used to generate these recommendations. By including contextual information derived from the use of ubiquitous learning environments, the possibility of incorporating proactivity to the recommendation process has arisen. In this paper we describe methods to push proactive recommendations to e-learning systems users when the situation is appropriate without being needed their explicit request. As a result, interesting learning objects can be recommended attending to the user?s needs in every situation. The impact of this proactive recommendations generated have been evaluated among teachers and scientists in a real e-learning social network called Virtual Science Hub related to the GLOBAL excursion European project. Outcomes indicate that the methods proposed are valid to generate such kind of recommendations in e-learning scenarios. The results also show that the users' perceived appropriateness of having proactive recommendations is high.

Más información

ID de Registro: 25840
Identificador DC: http://oa.upm.es/25840/
Identificador OAI: oai:oa.upm.es:25840
URL Oficial: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6618700
Depositado por: Memoria Investigacion
Depositado el: 13 May 2014 18:22
Ultima Modificación: 22 Sep 2014 11:38
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