Engineering Data-Driven Adaptive Trust-based e-Assessment Systems
Springer International Publishing (Verlag)
978-3-030-29325-3 (ISBN)
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.
Forensic Analysis Recognition.- Plagiarism Detection.- Biometric Tools for Learner Identity in e-Assessment.- Engineering Cloud-based Technological Infrastructure.- Security and Privacy in the TeSLA Architecture.- Design and Implementation of Dashboards to Support Teachers Decision-Making Process in e-Assessment Systems.- Design and execution of TeSLA Pilots.- Ethical, Legal and Privacy Considerations for Adaptive Systems.- Underpinning Quality Assurance in Trust-based e-Assessment Procedures.
| Erscheinungsdatum | 20.10.2019 |
|---|---|
| Reihe/Serie | Lecture Notes on Data Engineering and Communications Technologies |
| Zusatzinfo | XXIII, 327 p. 71 illus., 65 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 539 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik | |
| Schlagworte | Auditing Tools for Reliable Cloud Services • Authentication and Authorship Systems • Awareness Services for Learners and Teachers • Case Studies and Applications • Description and Composition of Learning Services • Emerging Trends in e-Assessment Services • Engineering Learning Analytics and Services • Ethical, Legal and Privacy Considerations for Data • Ethical, Legal and Privacy Considerations for Data Analysis • evaluation methodologies • Learner Biometric Profile Modelling • management information systems • Modelling Knowledge Domains, Learner Modelling • Performance Metrics, Benchmarks and Data Sets • Scalable Data Mining for Analytics • Services for Large-scale Data Analysis and Mining • Services for Metadata Management and Trust • Trust-based Assessment Systems |
| ISBN-10 | 3-030-29325-4 / 3030293254 |
| ISBN-13 | 978-3-030-29325-3 / 9783030293253 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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