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Intelligent data analysis for e-Learning : enhancing security and trustworthiness in online learning systems / Jorge Miguel, Santi Caballé, and Fatos Xhafa.

By: Contributor(s): Series: Intelligent data centric systemsPublisher: London, United Kingdom ; San Diego, CA, United States : Academic Press is an imprint of Elsevier, [2017]Description: xix, 172 pages : ill. ; 24 cmISBN:
  • 9780128045350
  • 0128045353
Subject(s): DDC classification:
  • 005.82 23 MIG
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Closed Access Book Closed Access Engineering Library 005.82 MIG (Browse shelf(Opens below)) 1 Available BUML24010389

Content

1. Introduction
Objectives
Book Organization
Book reading

Chapter 2. Security for e-learning Background
Information security in e-learning
Secure learning management systems
Security for e-learning paradigms
Discussion

Chapter 3. Trustworthiness for secure collaborative learning
Background
Knowledge management for Trustworthiness e-learning data
Trustworthiness-based CSCL
Trustworthiness-based security for P2P e-assessment
An e-exam case study

Chapter 4. Trustworthiness modeling and methodology for secure peer-to peer e-assessment
Trustworthiness modeling
Trustworthiness-based security methodology
Knowledge management Trustworthiness and security
Building student profiles in e-Assessment
Case study; Authentication for MOOC e-Assessment

Chapter 5. Massive data processing for effective Trustworthiness modeling
Overview on parallel processing
Parallel massive data processing
The MapReduce Model and Hadoop
Massive processing of learning management system
etc

Chapter 6. Trustworthiness evaluation and prediction
E-learning context
Trustworthiness evaluation
Trustworthiness prediction

Chapter 7 Trustworthiness in action: Data collection, processing and visualization methods for real online courses
Data collection and processing methods
MapReduce approach implementation
Peer-to-peer data analysis and visualization

Chapter 8 Conclusions and future research work
Conclusion and lessons learned
Challenges and future research work

Includes bibliographical references (pages 157-168) and index p. 169-172

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