Engineering Data-Driven Adaptive Trust-based e-Assessment Systems
Produktnummer:
18673239fb235246e0bb86816fe1b90cf3
| Themengebiete: | Auditing Tools for Reliable Cloud Services Authentication and Authorship Systems Awareness Services for Learners and Teachers Engineering Learning Analytics and Services Learner Biometric Profile Modelling Management Information Systems Modelling Knowledge Domains, Learner Modelling Scalable Data Mining for Analytics Services for Large-scale Data Analysis and Mining Trust-based Assessment Systems |
|---|---|
| Veröffentlichungsdatum: | 19.10.2019 |
| EAN: | 9783030293253 |
| Sprache: | Englisch |
| Seitenzahl: | 327 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Baneres, David Guerrero-Roldán, Ana Elena Rodríguez, M. Elena |
| Verlag: | Springer International Publishing |
| Untertitel: | Challenges and Infrastructure Solutions |
Produktinformationen "Engineering Data-Driven Adaptive Trust-based e-Assessment Systems"
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.
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