Engineering Data-driven Adaptive Trust-based E-assessment Systems: Challenges and Infrastructure Solutions
Baneres, David (Editor)/ Roldán, Ana Elena Guerrero (Editor)/ González, M. Elena Rodríguez. (Editor)
Language: English
Published by Springer-Verlag New York Inc, 2020
- Softcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 178.27
Quantity: 2 available
Add to basketItem description from seller
Seller Inventory # x-3030293254
- Title
- Engineering Data-driven Adaptive Trust-based E-assessment Systems: Challenges and Infrastructure Solutions
- Author
- Baneres, David (Editor)/ Roldán, Ana Elena Guerrero (Editor)/ González, M. Elena Rodríguez. (Editor)
- Publisher
- Springer-Verlag New York Inc
- Publication year
- 2020
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3030293254
- ISBN 13
- 9783030293253
- Item weight
- 0.54 kilograms
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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Edward Bowditch Ltd
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Exeter, United Kingdom EX3 0PP
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