Nikos Manouselis,
Hendrik Drachsler,
Katrien Verbert,
Erik Duval
e.a.
Recommender Systems for Learning
Paperback Engels 2012 2013e druk 9781461443605
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9781461443605
Taal:Engels
Bindwijze:paperback
Aantal pagina's:76
Uitgever:Springer New York
Druk:2013
Hoofdrubriek:Netwerken, Computer en informatica
Lezersrecensies
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Inhoudsopgave
Introduction and Background.- TEL as a recommendation context.- Survey and Analysis of TEL Recommender Systems.- Challenges and Outlook.
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan