Software Data Engineering for Network eLearning Environments: Analytics and Awareness Learning Services: 11 (Lecture Notes on Data Engineering and Communications Technologies) - Tapa blanda

9783319683171: Software Data Engineering for Network eLearning Environments: Analytics and Awareness Learning Services: 11 (Lecture Notes on Data Engineering and Communications Technologies)

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ISBN 10: 3319683179 ISBN 13: 9783319683171

Editorial: Springer, 2018

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Explores the state of the art in software tools and innovative learning strategies for providing effective and efficient solutions to the various problems and challenges currently facing eLearning from a software data engineering perspective

Highlights stimulating practical research from leading international experts

Provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners

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This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders.

Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.

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EditorialSpringer
A�o de publicaci�n2018
ISBN 10 3319683179
ISBN 13 9783319683171
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas248
EditorCaball� Santi, Conesa Jordi
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Software Data Engineering for Network eLearning Environments

Caball�, Santi|Conesa, Jordi

Publicado por Springer International Publishing, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and d. N� de ref. del art�culo: 179443192

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Software Data Engineering for Network eLearning Environments

Jordi Conesa

Publicado por Springer International Publishing Feb 2018, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders. Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information. 248 pp. Englisch. N� de ref. del art�culo: 9783319683171

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Software Data Engineering for Network eLearning Environments : Analytics and Awareness Learning Services

Jordi Conesa

Publicado por Springer International Publishing, Springer International Publishing, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders. Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information. N� de ref. del art�culo: 9783319683171

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Software Data Engineering for Network eLearning Environments: Analytics and Awareness Learning Services (Lecture Notes on Data Engineering and Communications Technologies, 11)

Publicado por Springer, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

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Software Data Engineering for Network eLearning Environments

Jordi Conesa

Publicado por Springer International Publishing, Springer International Publishing Feb 2018, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

Nuevo Taschenbuch

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Neuware -This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders.Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. N� de ref. del art�culo: 9783319683171

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