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Recommender Systems for Learning
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 learn...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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| Edición: | 1st ed. 2013. |
| Colección: | SpringerBriefs in Electrical and Computer Engineering,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4614-4361-2 | ||
| 003 | DE-He213 | ||
| 005 | 20220120111024.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120827s2013 xxu| s |||| 0|eng d | ||
| 020 | |a 9781461443612 |9 978-1-4614-4361-2 | ||
| 024 | 7 | |a 10.1007/978-1-4614-4361-2 |2 doi | |
| 050 | 4 | |a TK5105.5-5105.9 | |
| 072 | 7 | |a UKN |2 bicssc | |
| 072 | 7 | |a COM069000 |2 bisacsh | |
| 072 | 7 | |a UKN |2 thema | |
| 082 | 0 | 4 | |a 004.6 |2 23 |
| 100 | 1 | |a Manouselis, Nikos. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Recommender Systems for Learning |h [electronic resource] / |c by Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2013. | |
| 300 | |a XI, 76 p. 4 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Electrical and Computer Engineering, |x 2191-8120 | |
| 505 | 0 | |a Introduction and Background -- TEL as a recommendation context -- Survey and Analysis of TEL Recommender Systems -- Challenges and Outlook. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Computer networks . | |
| 650 | 0 | |a Education. | |
| 650 | 1 | 4 | |a Computer Communication Networks. |
| 650 | 2 | 4 | |a Education. |
| 700 | 1 | |a Drachsler, Hendrik. |e author. |0 (orcid)0000-0001-7061-8947 |1 https://orcid.org/0000-0001-7061-8947 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Verbert, Katrien. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Duval, Erik. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781461443629 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461443605 |
| 830 | 0 | |a SpringerBriefs in Electrical and Computer Engineering, |x 2191-8120 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4614-4361-2 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||