Inclusive Scenarios to Evaluate an Open and Standards-Based Framework that Supports Accessibility and Personalisation at Higher Education

  • Alejandro Rodriguez-Ascaso
  • Jesus G. Boticario
  • Cecile Finat
  • Elena del Campo
  • Mar Saneiro
  • Eva Alcocer
  • Emmanuelle Gutiérrez y Restrepo
  • Emanuela Mazzone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6768)

Abstract

An extensive number of students with disability who are increasingly choosing either distance or blended learning are in the need of accessible learning contents and services, as well as of psycho-educational support. To cope with their needs a general framework implemented through a standards-based open architecture focused on supporting inclusive learning at Higher Education has been developed in the EU4ALL project. The framework is implemented through an open service oriented architecture that can be integrated into current learning platforms. Services involving stakeholders (students and professionals) to attend users’ needs are provided through standards-based framework components, which combine user-centred design tools with modelling techniques based on the state-of-the-art on semantic web technologies. The framework, the architecture and its components are being evaluated at large, medium and small universities to show their flexibility and appropriateness. In this paper, after introducing the framework we focus on the evaluation scenarios at one large university and their first evaluations outcomes.

Keywords

Accessibility personalisation adaptation learning higher education information and communications technology ICT learning materials virtual learning environments VLE 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alejandro Rodriguez-Ascaso
    • 1
  • Jesus G. Boticario
    • 1
  • Cecile Finat
    • 1
  • Elena del Campo
    • 1
  • Mar Saneiro
    • 1
  • Eva Alcocer
    • 1
  • Emmanuelle Gutiérrez y Restrepo
    • 1
  • Emanuela Mazzone
    • 1
  1. 1.aDeNu Research Group, Artificial Intelligence Department, Computer Science SchoolUNEDMadridSpain

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