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

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

Softcover

ISBN 10: 3319683179 ISBN 13: 9783319683171

Verlag: Springer, 2018

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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VerlagSpringer
Erscheinungsdatum2018
ISBN 10 3319683179
ISBN 13 9783319683171
EinbandTapa blanda
SpracheEnglisch
Auflage1
Anzahl der Seiten248
HerausgeberCaball� Santi, Conesa Jordi
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Software Data Engineering for Network eLearning Environments

Caball�, Santi|Conesa, Jordi

Verlag: Springer International Publishing, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

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Zustand: 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. Bestandsnummer des Verk�ufers 179443192

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

Jordi Conesa

Verlag: Springer International Publishing, Springer International Publishing, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

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Taschenbuch. Zustand: 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. Bestandsnummer des Verk�ufers 9783319683171

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Software Data Engineering for Network eLearning Environments

Jordi Conesa

Verlag: Springer International Publishing Feb 2018, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

Neu Taschenbuch

Print-on-Demand

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Taschenbuch. Zustand: 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. Bestandsnummer des Verk�ufers 9783319683171

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Software Data Engineering for Network eLearning Environments

Jordi Conesa

Verlag: Springer International Publishing, Springer International Publishing Feb 2018, 2018

ISBN 10: 3319683179 ISBN 13: 9783319683171

Neu Taschenbuch

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

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Taschenbuch. Zustand: 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. Bestandsnummer des Verk�ufers 9783319683171

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