Recommender Systems for Learning

  • Nikos Manouselis
  • Hendrik Drachsler
  • Katrien Verbert
  • Erik Duval

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval
    Pages 1-20
  3. Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval
    Pages 21-36
  4. Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval
    Pages 37-61
  5. Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval
    Pages 63-76

About this book

Introduction

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.

Keywords

Recommender systems TEL datasets personalization recommendation algorithms technology enhanced learning (TEL)

Authors and affiliations

  • Nikos Manouselis
    • 1
  • Hendrik Drachsler
    • 2
  • Katrien Verbert
    • 3
  • Erik Duval
    • 4
  1. 1.Agro-Know TechnologiesAthensGreece
  2. 2.the Netherlands, Centre for Learning SciencesOpen University ofHeerlenNetherlands
  3. 3., Department of Computer ScienceKU LeuvenLeuvenBelgium
  4. 4., Department of Computer ScienceKU LeuvenLeuvenBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4361-2
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-4360-5
  • Online ISBN 978-1-4614-4361-2
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book