| Engineering Data-Driven Adaptive Trust-Based E-Assessment Systems: Challenges and Infrastructure Solutions 2020 Edition Contributor(s): Baneres, David (Editor), Rodríguez, M. Elena (Editor), Guerrero-Roldán, Ana Elena (Editor) |
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ISBN: 3030293254 ISBN-13: 9783030293253 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback Published: October 2019 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Engineering (general) |
| Dewey: 006.3 |
| Series: Lecture Notes on Data Engineering and Communications Technol |
| Physical Information: 0.73" H x 6.14" W x 9.21" (1.09 lbs) 327 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |
