Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning
Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies...
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| Outros Autores: | , , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2012. |
| Colecção: | Studies in Computational Intelligence
408 |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning, Texte imprimé, 9783642285851 • Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning, Texte imprimé, 9783642447686 • Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning, Texte imprimé, 9783642285851 • Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning, Texte imprimé, 9783642285875 |
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| 245 | 0 | 0 | |a Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning |c edited by Thanasis Daradoumis, Stavros N. Demetriadis, Fatos Xhafa. |
| 250 | |a 1st ed. 2012. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 408 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a From the content: Reuse of data flow designs in complex and adaptive CSCL scripts: A case study System orchestration support for a collaborative blended learning flow Adaptive Collaboration Scripting with IMS LD Extending IMS-LD capabilities: A review, a proposed framework and implementation cases Prototype Tools for the Flexible Design of CSCL Activities based on the Adaptation Pattern Perspective. An overview | |
| 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 Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems | ||
| 700 | 1 | |a Daradoumis, Thanasis. |4 edt | |
| 700 | 1 | |a Demetriadis, Stavros N. |4 edt | |
| 700 | 1 | |a Xhafa, Fatos. |4 edt | |
| 776 | 0 | |t Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning |b Texte imprimé |z 9783642285851 | |
| 776 | 0 | |t Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning |b Texte imprimé |z 9783642447686 | |
| 776 | 0 | |t Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning |b Texte imprimé |z 9783642285851 | |
| 776 | 0 | |t Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning |b Texte imprimé |z 9783642285875 | |
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