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

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

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Challenges and Infrastructure Solutions, Lecture Notes on Data Engineering and Communications Technologies 34

ISBN: 3030293254
ISBN 13: 9783030293253
Herausgeber: David Baneres/M Elena Rodríguez/Ana Elena Guerrero-Roldán
Verlag: Springer Verlag GmbH
Umfang: xxiii, 327 S., 6 s/w Illustr., 65 farbige Illustr., 327 p. 71 illus., 65 illus. in color.
Erscheinungsdatum: 19.10.2019
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 7818283 Kategorie:

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E-Mail: juergen.hartmann@springer.com

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