Enhanced recommendations for e-learning authoring tools based on a proactive context-aware recommender

Gallego Vico, Daniel; Barra Arias, Enrique; Gordillo Méndez, Aldo y Huecas Fernández Toribio, Gabriel (2013). Enhanced recommendations for e-learning authoring tools based on a proactive context-aware recommender. En: "2013 IEEE Frontiers in Education Conference", 23/10/2013 - 26/10/2013, Oklahoma City, Oklahoma, USA. pp. 1-3.

Descripción

Título: Enhanced recommendations for e-learning authoring tools based on a proactive context-aware recommender
Autor/es:
  • Gallego Vico, Daniel
  • Barra Arias, Enrique
  • Gordillo Méndez, Aldo
  • Huecas Fernández Toribio, Gabriel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2013 IEEE Frontiers in Education Conference
Fechas del Evento: 23/10/2013 - 26/10/2013
Lugar del Evento: Oklahoma City, Oklahoma, USA
Título del Libro: 2013 IEEE Frontiers in Education Conference
Fecha: 2013
Materias:
Palabras Clave Informales: Authoring tools; Recommender systems; Learning objects; Proactivity; Context-awareness
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

Authoring tools are powerful systems in the area of e-Learning that make easier for teachers to create new learning objects by reusing or editing existing educational resources coming from learning repositories or content providers. However, due to the overwhelming number of resources these tools can access, sometimes it is difficult for teachers to find the most suitable resources taking into account their needs in terms of content (e.g. topic) or pedagogical aspects (e.g. target level associated to their students). Recommender systems can take an important role trying to mitigate this problem. In this paper we propose a new model to generate proactive context-aware recommendations on resources during the creation process of a new learning object that a teacher carries out by using an authoring tool. The common use cases covered by the model for having recommendations in online authoring tools and details about the recommender model itself are presented.

Más información

ID de Registro: 25764
Identificador DC: http://oa.upm.es/25764/
Identificador OAI: oai:oa.upm.es:25764
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6685060
Depositado por: Memoria Investigacion
Depositado el: 11 May 2014 07:21
Ultima Modificación: 22 Sep 2014 11:38
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