Engineering Data-Driven Adaptive Trust-based e-Assessment Systems
Challenges and Infrastructure Solutions
Buch in deiner Nähe kaufen
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.
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.
Shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems Describes current trends, privacy, ethical issues, technological solutions, and adaptive educational models Presents a global view on the state of the art, challenges, and solutions in e-Assessment Offers a valuable reference guide for industry, educational institutions, researchers, developers, and practitioners Discusses original research contributions on innovative learning methodologies and systems
Autor*in
David Baneres
Themen in »Engineering Data-Driven Adaptive Trust-based e-Assessment Systems«
Trust-based Assessment Systems Learner Biometric Profile Modelling Management Information Systems Authentication and Authorship Systems Engineering Learning Analytics and Services Awareness Services for Learners and Teachers Modelling Knowledge Domains, Learner Modelling Scalable Data Mining for Analytics Auditing Tools for Reliable Cloud Services Services for Large-scale Data Analysis and Mining Description and Composition of Learning Services Services for Metadata Management and Trust Emerging Trends in e-Assessment Services Performance Metrics, Benchmarks and Data Sets Evaluation Methodologies