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Engineering data-driven adaptive tru...

Baneres, David.

Engineering data-driven adaptive trust-based e-assessment systemschallenges and infrastructure solutions /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Engineering data-driven adaptive trust-based e-assessment systemsedited by David Baneres, M. Elena Rodriguez, Ana Elena Guerrero-Roldan.
其他題名:	challenges and infrastructure solutions /
其他作者:	Baneres, David.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xxiii, 327 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Education, HigherEvaluation
電子資源:	https://doi.org/10.1007/978-3-030-29326-0
ISBN:	9783030293260$q(electronic bk.)

Engineering data-driven adaptive trust-based e-assessment systemschallenges and infrastructure solutions /
Engineering data-driven adaptive trust-based e-assessment systemschallenges and infrastructure solutions /[electronic resource] :edited by David Baneres, M. Elena Rodriguez, Ana Elena Guerrero-Roldan. - Cham :Springer International Publishing :2020. - xxiii, 327 p. :ill. (some col.), digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.342367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.2..

Forensic Analysis Recognition -- Plagiarism Detection -- Biometric Tools for Learner Identity in e-Assessment -- Engineering Cloud-based Technological Infrastructure -- Security and Privacy in the TeSLA Architecture -- Design and Implementation of Dashboards to Support Teachers Decision-Making Process in e-Assessment Systems -- Design and execution of TeSLA Pilots -- Ethical, Legal and Privacy Considerations for Adaptive Systems -- Underpinning Quality Assurance in Trust-based e-Assessment Procedures.

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.

ISBN: 9783030293260$q(electronic bk.)

Standard No.: 10.1007/978-3-030-29326-0doiSubjects--Topical Terms:

864951
Education, Higher
--Evaluation

LC Class. No.: LB2331.62

Dewey Class. No.: 379.158

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