Engineering Data-Driven Adaptive Trust-based e-Assessment Systems | Challenges and Infrastructure Solutions

David Baneres (u. a.)

ISBN 10: 3030293254 ISBN 13: 9783030293253

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Synopsis :

This book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems. Both perspectives are crucial to enhancing the e-Assessment process.

In the course of the book, diverse areas of the computer sciences (machine learning, biometric recognition, cloud computing, and learning analytics, amongst others) are addressed. In addition, current trends, privacy, ethical issues, technological solutions, and adaptive educational models are described to provide readers with a global view on the state of the art, the latest challenges, and potential solutions in e-Assessment. As such, the book offers a valuable reference guide for industry, educational institutions, researchers, developers, and practitioners seeking to promote e-Assessment processes.

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Titre : Engineering Data-Driven Adaptive Trust-based...
�diteur : Springer
Date d'�dition : 2019
Reliure : Taschenbuch
Etat : Neu

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Engineering Data-Driven Adaptive Trust-based e-Assessment Systems: Challenges and Infrastructure Solutions (Lecture Notes on Data Engineering and Communications Technologies, 34)

Edit� par Springer, 2019

ISBN 10 : 3030293254 ISBN 13 : 9783030293253

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Engineering Data-Driven Adaptive Trust-based e-Assessment Systems (eng)

Rodr�guez, M. Elena

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ISBN 10 : 3030293254 ISBN 13 : 9783030293253

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Engineering Data-Driven Adaptive Trust-based e-Assessment Systems

Baneres, David|Rodr�guez, M. Elena|Guerrero-Rold�n, Ana Elena

Edit� par Springer International Publishing, 2019

ISBN 10 : 3030293254 ISBN 13 : 9783030293253

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems Describes current trends, privacy, ethical issues, technological solutions, and adaptive educationa. N� de r�f. du vendeur 327230568

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Engineering Data-Driven Adaptive Trust-based e-Assessment Systems

David Baneres

Edit� par Springer International Publishing Okt 2019, 2019

ISBN 10 : 3030293254 ISBN 13 : 9783030293253

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems. Both perspectives are crucial to enhancing the e-Assessment process. In the course of the book, diverse areas of the computer sciences (machine learning, biometric recognition, cloud computing, and learning analytics, amongst others) are addressed. In addition, current trends, privacy, ethical issues, technological solutions, and adaptive educational models are described to provide readers with a global view on the state of the art, the latest challenges, and potential solutions in e-Assessment. As such, the book offers a valuable reference guide for industry, educational institutions, researchers, developers, and practitioners seeking to promote e-Assessment processes. 352 pp. Englisch. N� de r�f. du vendeur 9783030293253

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Engineering Data-Driven Adaptive Trust-based e-Assessment Systems : Challenges and Infrastructure Solutions

David Baneres

Edit� par Springer International Publishing, Springer International Publishing, 2019

ISBN 10 : 3030293254 ISBN 13 : 9783030293253

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems. Both perspectives are crucial to enhancing the e-Assessment process. In the course of the book, diverse areas of the computer sciences (machine learning, biometric recognition, cloud computing, and learning analytics, amongst others) are addressed. In addition, current trends, privacy, ethical issues, technological solutions, and adaptive educational models are described to provide readers with a global view on the state of the art, the latest challenges, and potential solutions in e-Assessment. As such, the book offers a valuable reference guide for industry, educational institutions, researchers, developers, and practitioners seeking to promote e-Assessment processes. N� de r�f. du vendeur 9783030293253

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Engineering Data-Driven Adaptive Trust-based e-Assessment Systems

David Baneres

Edit� par Springer International Publishing, Springer International Publishing Okt 2019, 2019

ISBN 10 : 3030293254 ISBN 13 : 9783030293253

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -This book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems. Both perspectives are crucial to enhancing the e-Assessment process.In the course of the book, diverse areas of the computer sciences (machine learning, biometric recognition, cloud computing, and learning analytics, amongst others) are addressed. In addition, current trends, privacy, ethical issues, technological solutions, and adaptive educational models are described to provide readers with a global view on the state of the art, the latest challenges, and potential solutions in e-Assessment. As such, the book offers a valuable reference guide for industry, educational institutions, researchers, developers, and practitioners seeking to promote e-Assessment processes.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch. N� de r�f. du vendeur 9783030293253

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