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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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