• DocumentCode
    2168201
  • Title

    An empirical approach to validate the Dyslexia Adaptive E-Learning (DAEL) framework

  • Author

    Alsobhi, Aisha ; Khan, Nawaz ; Rahanu, Harjinder

  • Author_Institution
    School of Sciences and Technologies, Middlesex University, London, United Kingdom
  • fYear
    2015
  • fDate
    22-24 July 2015
  • Firstpage
    253
  • Lastpage
    258
  • Abstract
    E-learning involves the use of electronic technology to enhance student´s learning experiences. While e-learning can improve the efficiency with which information is shared with students, the quality of the learning material is not guaranteed. As such, there is a requirement for a comprehensive evaluation of the quality of the learning experiences provided by e-learning systems. The work described in this paper aimed to validate the Dyslexia Adaptive E-Learning (DAEL) framework as an effective tool for meeting the needs of students with dyslexia. A quality assessment approach was employed to examine the extent to which DAEL can meet the minimum standards and deliver improvements in the quality of the learning experiences that are delivered to dyslexic students via e-learning technologies. The validation results outlined in this study are reported according to data collected from an original survey that involved 149 dyslexic individuals and field experts who have experience with web-based learning management systems. The results were compared with existing literature to identify trends and validate the conclusions. It is anticipated that the empirically validated framework that emerged from this study will be of benefit to researchers who are involved in the development of adaptive e-learning systems for students with disabilities.
  • Keywords
    Adaptive systems; Electronic learning; Sociology; Standards; Statistics; Usability; Acceptability; Accessibility and User Experience; Dyslexic students; E-learning; Hypermediality; validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2015 10th International Conference on
  • Conference_Location
    Cambridge, United Kingdom
  • Print_ISBN
    978-1-4799-6598-4
  • Type

    conf

  • DOI
    10.1109/ICCSE.2015.7250252
  • Filename
    7250252