img Leseprobe Leseprobe

Engineering Data-Driven Adaptive Trust-based e-Assessment Systems

Challenges and Infrastructure Solutions

M. Elena Rodríguez (Hrsg.), David Baneres (Hrsg.), Ana Elena Guerrero-Roldán (Hrsg.)

PDF
ca. 96,29 €
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

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.

Weitere Titel in dieser Kategorie

Kundenbewertungen

Schlagwörter

Awareness Services for Learners and Teachers, Services for Metadata Management and Trust, Scalable Data Mining for Analytics, Evaluation Methodologies, Learner Biometric Profile Modelling, Modelling Knowledge Domains, Learner Modelling, Authentication and Authorship Systems, Emerging Trends in e-Assessment Services, Engineering Learning Analytics and Services, Ethical, Legal and Privacy Considerations for Data Analysis, Services for Large-scale Data Analysis and Mining, Management Information Systems, Trust-based Assessment Systems, Case Studies and Applications, Description and Composition of Learning Services, Auditing Tools for Reliable Cloud Services, Performance Metrics, Benchmarks and Data Sets