Recommender Systems For Learning

Download or read book Recommender Systems for Learning written by Nikos Manouselis and published by Springer Science & Business Media. This book was released on 2012-08-28 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. 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 brief 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.