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Automation of the Generation of Accessible Digital Educational Material for Students with Visual Disabilities

  • Boris Cabrera MedinaEmail author
  • Miguel Zuñiga-PrietoEmail author
Conference paper
  • 17 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1195)

Abstract

Online learning has grown in the last years, where educational institutions are offering courses or study programs in different knowledge areas. Online learning allows students to participate actively in cooperative learning activities, interacting without the preconceived notions of disability that other participants could have, which affects the relationship. However, these advantages have often not become a reality for most people with disabilities, especially in the educational context. For instance, courses’ web pages are not accessible for people with visual disabilities, which makes the experience of taking a course frustrating and tedious.

This article proposes a Model-Driven Development approach for supporting the design and generation of accessible educational material, for example, accessible Learning Objects (LO). This approach provides a software infrastructure that includes: (i) A Domain-Specific Language and its corresponding graphic editor that supports accessible LO’s design. Helping teachers during the instructional design and allowing them to describe accessibility requirements for students with visual disabilities. (ii) A LO’s generation engine that takes as input design artifacts and generates the source code that implements accessible LO. Abstracting teachers from technological aspects (e.g., programming language instructions) necessary to construct LO with accessibility features. The applicability of this approach is illustrated by using the DSL and the generation engine to design and automatically implement an accessible LO according to the accessibility profile specified during design. Finally, the generated LO was published in the Learning Management System Moodle.

Notes

Acknowledgment

This research is supported by the DIUC_XIV_2016_038 project.

References

  1. 1.
    Kinash, S., Crichton, S., Kim-Rupnow, W.S.: A review of 2000-2003 literature at the intersection of online learning and disability. Am. J. Distance Educ. 18(1), 5–19 (2004)CrossRefGoogle Scholar
  2. 2.
    Clark, J., Bellamy, A.: Internet utilization by persons with disabilities. In: Presentation at the Annual Conference of CSUN (California State University, Northridge): Technology and Persons with Disabilities-Where Assistive Technology Meets the Information Age, Los Angeles (1999)Google Scholar
  3. 3.
    Tabs, E.D., Waits, T., Lewis, L.: Distance Education at Degree-Granting Postsecondary Institutions: 2000-2001. US Department of Education, Washington, DC (2003)Google Scholar
  4. 4.
    Allan, J., Kirkpatrick, A., Henry, S.L.: Accessibility requirements for people with low vision (2016). https://www.w3.org/TR/low-vision-needs/#visual-impairments
  5. 5.
    Arrigo, M.: E-learning accessibility for blind students. In: Recent Research Developments in Learning Technologies (2005)Google Scholar
  6. 6.
    Kelly, B., Phipps, L., Swift, E.: Developing a holistic approach for e-learning accessibility. Can. J. Learn. Technol./La revue canadienne de l’apprentissage et de la technologie 30(3) (2004)Google Scholar
  7. 7.
    Sánchez Gordón, S., Luján-Mora, S.: Adaptive content presentation extension for open edX. Enhancing MOOCs accessibility for users with disabilities (2015)Google Scholar
  8. 8.
    Maria de Fátima, C., de Castro Filho, J.A., Andrade, R.M.: Model-driven development in the production of customizable learning objects. In: 2010 10th IEEE International Conference on Advanced Learning Technologies, pp. 701–702. IEEE, July 2010Google Scholar
  9. 9.
    Green, S., Jones, R., Pearson, E., Gkatzidou, S.: Accessibility and adaptability of learning objects: responding to metadata, learning patterns and profiles of needs and preferences. ALT J. 14(1), 117–129 (2006)CrossRefGoogle Scholar
  10. 10.
    Bourne, R.R., et al.: Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. Lancet Glob. Health 5(9), e888–e897 (2017)CrossRefGoogle Scholar
  11. 11.
    Consejo Nacional para la Igualdad de Discapacidades. Estadísticas de discapacidad (2019). shorturl.at/kwyEFGoogle Scholar
  12. 12.
    Cubero, S.: Elaboración de contenidos con eXelearning (2008). http://www.iesgabrielciscar.org/eXe
  13. 13.
    JCA solutions. SCORM content packages (2017). http://www.scormsoft.com/scorm/cam/contentPackages
  14. 14.
    Maldonado, J.J., Bermeo, J.L., Mejía, M.: Diseño, Creación y Evaluación de Objetos de Aprendizaje (2017)Google Scholar
  15. 15.
    Foundation Eclipse. Sirius overview (2019). https://www.eclipse.org/sirius/overview.html
  16. 16.
    Foundation Eclipse. Acceleo overview (2019). https://www.eclipse.org/acceleo/overview.html
  17. 17.
    Pianucci, I., Chiarani, M., Tapia, M.: Elaboración de materiales educativos digitales. In: 1er Congr. Int. Punta EsteGoogle Scholar
  18. 18.
    Bermeo, J., Zuñiga, M., Cabrera, B.: Proposal of an assistant for the automation of the design and creation process of learning objects. In: CLEI 2018. SLIS (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Facultad de IngenieríaUniversidad de CuencaCuencaEcuador
  2. 2.Departamento de Ciencias de la ComputaciónCuencaEcuador

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