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


Autoria(s): Gallego Vico, Daniel; Barra Arias, Enrique; Gordillo Méndez, Aldo; Huecas Fernández Toribio, Gabriel
Data(s)

2013

Resumo

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.

Formato

application/pdf

Identificador

http://oa.upm.es/25764/

Idioma(s)

eng

Publicador

E.T.S.I. Telecomunicación (UPM)

Relação

http://oa.upm.es/25764/1/INVE_MEM_2013_159487.pdf

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6685060

info:eu-repo/semantics/altIdentifier/doi/null

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

2013 IEEE Frontiers in Education Conference | 2013 IEEE Frontiers in Education Conference | 23/10/2013 - 26/10/2013 | Oklahoma City, Oklahoma, USA

Palavras-Chave #Telecomunicaciones #Informática #Educación
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed