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e-book

Intelligent Data Analysis for e-Learning (Cód: 9923967)

Miguel,Jorge; Fatos Xhafa; Santi Caballé

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Intelligent Data Analysis for e-Learning

R$378,86

Descrição

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 SCOPUSProvides guidelines for anomaly detection, security analysis, and trustworthiness of data processingIncorporates state-of-the-art, multidisciplinary research on online collaborative learning, social networks, information security, learning management systems, and trustworthiness predictionProposes a parallel processing approach that decreases the cost of expensive data processing Offers strategies for ensuring against unfair and dishonest assessmentsDemonstrates solutions using a real-life e-Learning context

Características

Produto sob encomenda Não
Marca ELSEVIER S&T
Cód. Barras 9780128045459
Acabamento e-book
Início da Venda 06/09/2016
Territorialidade Internacional
Formato Livro Digital Pdf
Gratuito Não
Tamanho do Arquivo 17346
Proteção Drm Sim
Idioma 337
Código do Formato Pdf
Número de Páginas 192 (aproximado)
Ano da Publicação 2016
Peso 0.00 Kg
AutorMiguel,Jorge; Fatos Xhafa; Santi Caballé