TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-29326-0
DO  - 10.1007/978-3-030-29
DO  - doi
AB  - 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.
T1  - Engineering data-driven adaptive trust-based e-assessment systems :challenges and infrastructure solutions /
AU  - Baneres, David,
AU  - Rodríguez, M. Elena,
AU  - Guerrero-Roldán, Ana Elena,
VL  - volume 34
CN  - LB2331.62
N1  - Includes index.
ID  - 923085
KW  - Education, Higher
KW  - Education, Higher
SN  - 9783030293260
SN  - 3030293262
TI  - Engineering data-driven adaptive trust-based e-assessment systems :challenges and infrastructure solutions /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-29326-0
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-29326-0
ER  -