Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning
Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning
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Résumé
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.
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Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning by Thanasis Daradoumis
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.
Demetriadis, Stavros N.: - Dr. Stavros N. Demetriadis holds a BSc degree in Physics, MSc in Electronic Physics, and PhD in Multimedia educational technology from AUTh. He teaches courses and conducts research in the broader area of technology- enhanced learning with emphasis on Computer-supported collaborative learning (CSCL), Adaptive hypermedia systems for learning, Educational robotics and Tangible interfaces for programming, Conversational agents, Multimedia learning, Cognitive training technologies. Dr. Demetriadis has published more than 150 research papers either in international scientific journals (with IF) or in international/national conference proceedings (more than 2500 third party citations and h-index: 25 reported in Google Scholar). He is member of the scientific committee in several top-ranking international Conferences each year (such as IEEE ICALT, ECTEL, CSEDU, etc.). Since 1995 he has participated in many AUTH research projects and has been project leader in some of them. Dr. Demetriadis is currently the coordinator of the ongoing research project colMOOC funded by the European Commission devoted to the integration of conversational agents and learning analytics in online education.
| SKU | Non disponible |
| ISBN 13 | 9783642285851 |
| ISBN 10 | 3642285856 |
| Titre | Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning |
| Auteur | Thanasis Daradoumis |
| Série | Studies In Computational Intelligence |
| État | Non disponible |
| Type de reliure | Hardback |
| Éditeur | Springer |
| Année de publication | 2012-03-14 |
| Nombre de pages | 336 |
| Note de couverture | La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier. |
| Note | Non disponible |