株式会社極東書店トップ ＞ 商品一覧 ＞ Engineering Data-Driven Adaptive Trust-based e-Assessment Systems: Challenges and Infrastructure Solutions. 2020 ed.
商品詳細
Engineering Data-Driven Adaptive Trust-based e-Assessment Systems: Challenges and Infrastructure Solutions. 2020 ed.
・ISBN 978-3-030-29325-3 paper EUR 99.99
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| 著者・編者 | Baneres, David / Rodriguez, M. Elena / Guerrero-Roldan, Ana Elena (eds.), |
|---|---|
| シリーズ | (Lecture Notes on Data Engineering and Communications Technologies) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2019 |
| ページ数 | 327 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-81103＞ |
解説
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.