Téléchargez le livre : Intelligent Data Analysis for e-Learning

Intelligent Data Analysis for e-Learning

Enhancing Security and Trustworthiness in Online Learning Systems de

, ,

Éditeur :

Academic Press


Paru le : 2016-09-06

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
98,06 €
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description
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 - Provides guidelines for anomaly detection, security analysis, and trustworthiness of data processing - Incorporates state-of-the-art, multidisciplinary research on online collaborative learning, social networks, information security, learning management systems, and trustworthiness prediction - Proposes a parallel processing approach that decreases the cost of expensive data processing - Offers strategies for ensuring against unfair and dishonest assessments - Demonstrates solutions using a real-life e-Learning context
Pages
192 pages
Collection
n.c
Parution
2016-09-06
Marque
Academic Press
EAN papier
9780128045350
EAN PDF
9780128045459
Informations sur l'ebook
Nombre pages copiables
19
Nombre pages imprimables
19
Taille du fichier
11489 Ko
Prix
98,06 €
EAN EPUB SANS DRM
9780128045459
Informations sur l'ebook
Prix
98,06 €

Suggestions personnalisées