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Kategorie szczegółowe BISAC

Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

ISBN-13: 9783642447686 / Angielski / Miękka / 2014 / 336 str.

Thanasis Daradoumis; Stavros N. Demetriadis; Fatos Xhafa
Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning Thanasis Daradoumis Stavros N. Demetriadis Fatos Xhafa 9783642447686 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

ISBN-13: 9783642447686 / Angielski / Miękka / 2014 / 336 str.

Thanasis Daradoumis; Stavros N. Demetriadis; Fatos Xhafa
cena 603,81
(netto: 575,06 VAT:  5%)

Najniższa cena z 30 dni: 578,30
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

Darmowa dostawa!
inne wydania

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.

Kategorie:
Informatyka
Kategorie BISAC:
Computers > Artificial Intelligence - General
Computers > Educational Software
Technology & Engineering > Engineering (General)
Wydawca:
Springer
Seria wydawnicza:
Studies in Computational Intelligence
Język:
Angielski
ISBN-13:
9783642447686
Rok wydania:
2014
Wydanie:
2012
Numer serii:
000318395
Ilość stron:
336
Waga:
0.54 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

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.

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.



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