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

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

Description

Title: Incorporating proactivity to context-aware recommender systems for e-learning
Author/s:
  • Gallego Vico, Daniel
  • Barra Arias, Enrique
  • Rodríguez Pérez, Pedro
  • Huecas Fernández Toribio, Gabriel
Item Type: Presentation at Congress or Conference (Article)
Event Title: World Congress on Computer and Information Technology (WCCIT 2013)
Event Dates: 22/06/2013 - 24/06/2013
Event Location: Sousse, Tunisia
Title of Book: World Congress on Computer and Information Technology (WCCIT 2013)
Date: 2013
Subjects:
Freetext Keywords: Proactivity, Context-awareness, E-learning, Recommender Systems
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 25840
DC Identifier: http://oa.upm.es/25840/
OAI Identifier: oai:oa.upm.es:25840
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6618700
Deposited by: Memoria Investigacion
Deposited on: 13 May 2014 18:22
Last Modified: 22 Sep 2014 11:38
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