Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/autre/flexible-scripting-to-facilitate-knowledge-construction-in-computer-supported-collaborative-learning/wang-xinghua/descriptif_3814632
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=3814632

Flexible Scripting to Facilitate Knowledge Construction in Computer-supported Collaborative Learning, Softcover reprint of the original 1st ed. 2017 Perspectives on Rethinking and Reforming Education Series

Langue : Anglais
Couverture de l’ouvrage Flexible Scripting to Facilitate Knowledge Construction in Computer-supported Collaborative Learning
This book discusses the significance of flexible scripting to structure CSCL against the framework of ?Script theory of guidance? and reports on findings from two empirical studies on the effects of flexible scripting on collaboration in CSCL scenarios.

In the first empirical study flexibility was accomplished through adaptivity, and through adaptability in the second. The results of these studies show that adaptive and adaptable scripts enhanced the quality of collaborative knowledge construction processes as well as learners? collaboration skills, compared to inflexible scripts.

The findings presented in this book will contribute to theory building of the scripting approach in CSCL. The authors propose two innovative ways of achieving flexible scripting and address the mechanisms by which adaptive versus adaptable script influences collaborative knowledge construction. Moreover, the adaptive and adaptable scripting approaches provide hands-on examples for practitioners and contribute to their understanding of teaching design in CSCL settings.

Learning 2.0.- Introduction to Collaboration Scripts.- Flexible Scripting in CSCL.- An Empirical Study on Adaptive Scripting.- An Empirical Study on Adaptable Scripting.

WANG Xinghua got her Ph.D degree in Educational Psychology at Ludwig Maximiliam University of Munich, Germany; and now is working as an assistant professor in the Faculty of Education at Beijing Normal University, China. Her research focuses on learning in different contexts, especially the authentic assessment of learning processes and outcomes in formal as well as informal setting.

MU Jin received her Ph.D in Educational Psychology at the University of Munich. Her main research area is Computer-Supported Collaborative Learning, specifically the assessment of the collaborative learning processes. She is particularly interested in emerging text classification and data mining technologies that provide novel approaches to analyze discourse data.

 

 


 

 

Proposes innovative ways of achieving flexible scripting in CSCL and demonstrates the significance of flexible scripting through systematic investigation

Clarifies the differences between adaptive versus adaptable scripting and addresses their underlying mechanisms

Equips readers to handle complex CSCL scenarios and to provide an optimal degree of structure for learners

Includes supplementary material: sn.pub/extras

Date de parution :

Ouvrage de 137 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 52,74 €

Ajouter au panier

Date de parution :

Ouvrage de 137 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

52,74 €

Ajouter au panier