Software Data Engineering for Network eLearning Environments

Jordi Conesa

ISBN 10: 3319683179 / ISBN 13: 9783319683171

Verlag: Springer International Publishing Feb 2018, 2018

Beschreibung

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 Verkäufers 9783319683171

Bibliografische Details

Titel: Software Data Engineering for Network ...

Verlag: Springer International Publishing Feb 2018

Erscheinungsdatum: 2018

Einband: Taschenbuch

Zustand: Neu

Über diesen Titel

Inhaltsangabe:

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.