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Engineering Data-Driven Adaptive Trust-Based E-Assessment Systems: Challenges and Infrastructure Solutions
Paperback
Series: Lecture Notes on Data Engineering and Communications Technol, Book 34
Technology & EngineeringGeneral Computers
ISBN13: 9783030293253
Publisher: Springer Nature
Published: Oct 19 2019
Pages: 327
Weight: 1.09
Height: 0.73 Width: 6.14 Depth: 9.21
Language: English
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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