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...
保存先:
| その他の著者: | , , , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
New York, NY :
Springer New York : Imprint: Springer
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2013. |
| シリーズ: | SpringerBriefs in Electrical and Computer Engineering
|
| オンライン・アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Recommender systems for learning, Texte imprimé, 9781461443605 |
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| 245 | 0 | 0 | |a Recommender systems for learning |c by Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a New York, NY : |b Springer New York : |b Imprint: Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a SpringerBriefs in Electrical and Computer Engineering |x 2191-8120 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Introduction and Background TEL as a recommendation context Survey and Analysis of TEL Recommender Systems Challenges and Outlook | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 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 | ||
| 700 | 1 | |a Manouselis, Nikos, |d 19..- |4 pbd | |
| 700 | 1 | |a Drachsler, Hendrik, |d 19..- |4 pbd | |
| 700 | 1 | |a Verbert, Katrien, |d 1981-...., |c informaticienne. |4 pbd | |
| 700 | 1 | |a Duval, Erik. |4 pbd | |
| 776 | 0 | |t Recommender systems for learning |b Texte imprimé |z 9781461443605 | |
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