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Titlebook: Engineering Data-Driven Adaptive Trust-based e-Assessment Systems; Challenges and Infra David Baneres,M. Elena Rodríguez,Ana Elena Guerrer

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發(fā)表于 2025-3-21 18:20:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Engineering Data-Driven Adaptive Trust-based e-Assessment Systems
副標(biāo)題Challenges and Infra
編輯David Baneres,M. Elena Rodríguez,Ana Elena Guerrer
視頻videohttp://file.papertrans.cn/311/310746/310746.mp4
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
叢書(shū)名稱Lecture Notes on Data Engineering and Communications Technologies
圖書(shū)封面Titlebook: Engineering Data-Driven Adaptive Trust-based e-Assessment Systems; Challenges and Infra David Baneres,M. Elena Rodríguez,Ana Elena Guerrer
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
關(guān)鍵詞Trust-based Assessment Systems; Learner Biometric Profile Modelling; Management Information Systems; Au
版次1
doihttps://doi.org/10.1007/978-3-030-29326-0
isbn_softcover978-3-030-29325-3
isbn_ebook978-3-030-29326-0Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Integration of TeSLA in Assessment Activities,sessment activities in their courses. The chapter goes on to identify some of the issues arising from the context of the collected data and implications of the study for the future implementation of TeSLA and similar systems incorporating instruments for student authentication and authorship checking.
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Technische Thermodynamik Teil II on standard sensors and used during the TeSLA project pilots. Those tools are designed to verify the identity of the learner during an assessment activity. The data for on-site and on-line institutions is used in order to compare the performance of such tools in both scenarios.
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https://doi.org/10.1007/978-3-662-48383-1in terms of storage, processing and transfer are analyzed in the deployment of TeSLA at the Technical University of Sofia. In the third part, we address identity management issues and outline additional efforts we consider worth exploring.
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