David Baneres & M. Elena Rodríguez 
Engineering Data-Driven Adaptive Trust-based e-Assessment Systems [PDF ebook] 
Challenges and Infrastructure Solutions

Destek


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.

€96.29
Ödeme metodları

İçerik tablosu

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

 

 

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Dil İngilizce ● Biçim PDF ● Sayfalar 327 ● ISBN 9783030293260 ● Dosya boyutu 7.9 MB ● Editör David Baneres & M. Elena Rodríguez ● Yayımcı Springer International Publishing ● Kent Cham ● Ülke CH ● Yayınlanan 2019 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 7235324 ● Kopya koruma Sosyal DRM

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