Engineering Data-Driven Adaptive Trust-based e-Assessment Systems
| Autor: | David Baneres, M. Elena Rodríguez, Ana Elena Guerrero-Roldán |
|---|---|
| EAN: | 9783030293260 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 18.10.2019 |
| Untertitel: | Challenges and Infrastructure Solutions |
| Kategorie: | |
| Schlagworte: | 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 Domai |
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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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