Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organizations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This chapter attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains
Personalisation, adaptation and recommendation are central features of TEL environments. In this con...
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...
The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) ...
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that ...
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical inno...
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical inno...
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that ...
© Springer Science+Business Media New York 2014. As an area, Technology Enhanced Learning (TEL) aims...
AbstractTechnology enhanced learning (TEL) aims to design, develop and test socio-technical innovati...
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical inno...
This paper discusses challenges and possible solutions of recommender systems for Technology-Enhance...
This paper discusses challenges and possible solutions of recommender systems for Technology-Enhance...
Technology enhanced learning (TEL) aims to design, develop and test socio-technical innovations that...
This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their ...
This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their ...
Personalisation, adaptation and recommendation are central features of TEL environments. In this con...
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...
The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) ...
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that ...
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical inno...
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical inno...
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that ...
© Springer Science+Business Media New York 2014. As an area, Technology Enhanced Learning (TEL) aims...
AbstractTechnology enhanced learning (TEL) aims to design, develop and test socio-technical innovati...
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical inno...
This paper discusses challenges and possible solutions of recommender systems for Technology-Enhance...
This paper discusses challenges and possible solutions of recommender systems for Technology-Enhance...
Technology enhanced learning (TEL) aims to design, develop and test socio-technical innovations that...
This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their ...
This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their ...
Personalisation, adaptation and recommendation are central features of TEL environments. In this con...
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...
The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) ...