| 书目名称 | Engineering Data-Driven Adaptive Trust-based e-Assessment Systems | | 副标题 | Challenges and Infra | | 编辑 | David Baneres,M. Elena Rodríguez,Ana Elena Guerrer | | 视频video | | | 概述 | Shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems.Describes current trends, privacy, ethical issues, technolo | | 丛书名称 | Lecture Notes on Data Engineering and Communications Technologies | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2020 | | 关键词 | Trust-based Assessment Systems; Learner Biometric Profile Modelling; Management Information Systems; Au | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-29326-0 | | isbn_softcover | 978-3-030-29325-3 | | isbn_ebook | 978-3-030-29326-0Series ISSN 2367-4512 Series E-ISSN 2367-4520 | | issn_series | 2367-4512 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:20:47
