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

£89.50

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

Challenges and Infrastructure Solutions

Artificial intelligence

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Collection: Lecture Notes on Data Engineering and Communications Technologies

Language: English

Published by: Springer

Published on: 18th October 2019

Format: LCP-protected ePub

Size: 27 Mb

ISBN: 9783030293260


Overview

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.

Content and Scope

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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