Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Towards a Learning Analytics Approach for Supporting discovery and reuse of OER
Year:2015
Research Areas
  • Engineering
Information
Abstract
The OER movement poses challenges inherent to discovering and reuse digital educational materials from highly heterogeneous and distributed digital repositories. Search engines on today?s Web of documents are based on keyword queries. Search engines don?t provide a sufficiently comprehensive solution to answer a query that permits personalization of open educational materials. To find OER on the Web today, users must first be well informed of which OER repositories potentially contain the data they want and what data model describes these datasets, before using this information to create structured queries. Learning analytics requires not only to retrieve the useful information and knowledge about educational resources, learning processes and relations among learning agents, but also to transform the data gathered in actionable e interoperable information. Linked Data is considered as one of the most effective alternatives for creating global shared information spaces, it has become an interesting approach for discovering and enriching open educational resources data, as well as achieving semantic interoperability and re-use between multiple OER repositories. In this work, an approach based on Semantic Web technologies, the Linked Data guidelines, and Social Network Analysis methods are proposed as a fundamental way to describing, analyzing and visualizing knowledge sharing on OER initiatives.
International
Si
Congress
2015 IEEE Global Engineering Education Conference (EDUCON)
960
Place
Tallinn, Estonia
Reviewers
Si
ISBN/ISSN
9781479919086
http://dx.doi.org/10.1109/EDUCON.2015.7096092
Start Date
18/03/2015
End Date
20/05/2015
From page
978
To page
988
Proceedings of 2015 IEEE Global Engineering Education Conference
Participants
  • Autor: Nelson Oswaldo Piedra Pullaguari (UPM)
  • Autor: Janneth Alexandra Chicaiza Espinosa (UPM)
  • Autor: Jorge Afranio Lopez Vargas (UPM)
  • Autor: Edmundo Tovar Caro (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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