Proposes innovative ways of achieving flexibleillegalscripting in CSCL and demonstrates the significance of flexibleillegalscripting through systematic investigation
Clarifies the differences between adaptive versus adaptableillegalscripting and addresses their underlying mechanisms
Equips readers to handle complex CSCL scenarios and to provide an optimal degree of structure for learners
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.
This book discusses the significance of flexibleillegalscripting to structure CSCL against the framework of "illegalscript theory of guidance” and reports on findings from two empirical studies on the effects of flexibleillegalscripting 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 adaptableillegalscripts enhanced the quality of collaborative knowledge construction processes as well as learners´ collaboration skills, compared to inflexibleillegalscripts.
The findings presented in this book will contribute to theory building of theillegalscripting approach in CSCL. The authors propose two innovative ways of achieving flexibleillegalscripting and address the mechanisms by which adaptive versus adaptableillegalscript influences collaborative knowledge construction. Moreover, the adaptive and adaptableillegalscripting approaches provide hands-on examples for practitioners and contribute to their understanding of teaching design in CSCL settings.
Learning 2.0.- Introduction to Collaborationillegalscripts.- Flexibleillegalscripting in CSCL.- An Empirical Study on Adaptiveillegalscripting.- An Empirical Study on Adaptableillegalscripting.
This book discusses the significance of flexibleillegalscripting to structure CSCL against the framework of "illegalscript theory of guidance” and reports on findings from two empirical studies on the effects of flexibleillegalscripting 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 adaptableillegalscripts enhanced the quality of collaborative knowledge construction processes as well as learners´ collaboration skills, compared to inflexibleillegalscripts.
The findings presented in this book will contribute to theory building of theillegalscripting approach in CSCL. The authors propose two innovative ways of achieving flexibleillegalscripting and address the mechanisms by which adaptive versus adaptableillegalscript influences collaborative knowledge construction. Moreover, the adaptive and adaptableillegalscripting approaches provide hands-on examples for practitioners and contribute to their understanding of teaching design in CSCL settings.
This book discusses the significance of flexibleillegalscripting to structure CSCL against the framework of "illegalscript theory of guidance" and reports on findings from two empirical studies on the effects of flexibleillegalscripting 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 adaptableillegalscripts enhanced the quality of collaborative knowledge construction processes as well as learners' collaboration skills, compared to inflexibleillegalscripts.
The findings presented in this book will contribute to theory building of theillegalscripting approach in CSCL. The authors propose two innovative ways of achieving flexibleillegalscripting and address the mechanisms by which adaptive versus adaptableillegalscript influences collaborative knowledge construction. Moreover, the adaptive and adaptableillegalscripting approaches provide hands-on examples for practitionersand contribute to their understanding of teaching design in CSCL settings.
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.
Über den Autor
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.
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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.
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Inhaltsverzeichnis
Learning 2.0.- Introduction to Collaborationillegalscripts.- Flexibleillegalscripting in CSCL.- An Empirical Study on Adaptiveillegalscripting.- An Empirical Study on Adaptableillegalscripting.
Klappentext
This book discusses the significance of flexibleillegalscripting to structure CSCL against the framework of ¿illegalscript theory of guidance¿ and reports on findings from two empirical studies on the effects of flexibleillegalscripting 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 adaptableillegalscripts enhanced the quality of collaborative knowledge construction processes as well as learners¿ collaboration skills, compared to inflexibleillegalscripts.
The findings presented in this book will contribute to theory building of theillegalscripting approach in CSCL. The authors propose two innovative ways of achieving flexibleillegalscripting and address the mechanisms by which adaptive versus adaptableillegalscript influences collaborative knowledge construction. Moreover, the adaptive and adaptableillegalscripting approaches provide hands-on examples for practitionersand contribute to their understanding of teaching design in CSCL settings.
Proposes innovative ways of achieving flexibleillegalscripting in CSCL and demonstrates the significance of flexibleillegalscripting through systematic investigation
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Clarifies the differences between adaptive versus adaptableillegalscripting and addresses their underlying mechanisms
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Equips readers to handle complex CSCL scenarios and to provide an optimal degree of structure for learners
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Includes supplementary material: sn.pub/extras
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