Information and Knowledge Society

A semantic description model for the development and evaluation of personalized learning environments based on distributed systems

Doctoral Programme on the Information and Knowledge Society
19/01/2016

Author: Gustavo Alfonso Gutiérrez Carreón
Programme: Doctoral Programme on the Information and Knowledge Society
Language: English
Supervisor: Dr Atanasi Daradoumis Haralabus and Dr. Josep Jorba Esteve
Faculty / Institute: Internet Interdisciplinary Institute (IN3)
Key words: Semantic web, e-Learning, Cloud computing, Usability, Cognitive load


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Summary

The objective of this doctoral thesis is to implement and evaluate distributed Virtual Learning Environments (VLEs) supported with semantic models for the description of learning services and their incorporation within learning scenarios based on Grid and Cloud technologies, with features that allow students' personalization and collaboration. These distributed VLEs demand a flexible and coordinated form of sharing network resources, which are dynamically collected by individuals and institutions, and establishing mechanisms for the correct exchange of information and a strict control of the resources to share. Learning services are fundamental components of distributed VLEs representing functions that can be easily reused without knowing the details of how services have been implemented.