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Intelligent Data Analysis for e-Learning - Enhancing Security and Trustworthiness in Online Learning Systems (Paperback)
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Intelligent Data Analysis for e-Learning - Enhancing Security and Trustworthiness in Online Learning Systems (Paperback)
Series: Intelligent Data-Centric Systems
Expected to ship within 12 - 17 working days
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Intelligent Data Analysis for e-Learning: Enhancing Security and
Trustworthiness in Online Learning Systems addresses information
security within e-Learning based on trustworthiness assessment and
prediction. Over the past decade, many learning management systems
have appeared in the education market. Security in these systems is
essential for protecting against unfair and dishonest conduct-most
notably cheating-however, e-Learning services are often designed
and implemented without considering security requirements. This
book provides functional approaches of trustworthiness analysis,
modeling, assessment, and prediction for stronger security and
support in online learning, highlighting the security deficiencies
found in most online collaborative learning systems. The book
explores trustworthiness methodologies based on collective
intelligence than can overcome these deficiencies. It examines
trustworthiness analysis that utilizes the large amounts of
data-learning activities generate. In addition, as processing this
data is costly, the book offers a parallel processing paradigm that
can support learning activities in real-time. The book discusses
data visualization methods for managing e-Learning, providing the
tools needed to analyze the data collected. Using a case-based
approach, the book concludes with models and methodologies for
evaluating and validating security in e-Learning systems. Indexing:
The books of this series are submitted to EI-Compendex and SCOPUS
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