An ontological network to identify accessibility metadata in learning objects: An approach based on Web Content Accessibility Guidelines, schemas, and disabilities analysis

P. Ingavelez-Guerra, M. Ulloa-Amaya, A. Vera-Rea, J. Galan-Mena, V. Robles-Bykbaev, J. R. Hilera, S. Oton

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

According to the guidelines provided in the UNESCO program 'Learning for All,' the stakeholders (governments, institutions, teachers, instructional designers and quality assurance/qualification recognition bodies) are responsible on the development of contribution to guarantee the quality access learning for persons with disabilities or special needs. For this reason, in this paper, we present a proposal for an ontological network to model the knowledge of accessibility guidelines related to Learning Objects (LO). Our approach relies on the Web Content Accessibility Guidelines (WCAG 2.0), the Schema accessibility metadata, and a novel proposal to include the preference according to disability characteristics.

Original languageEnglish
Title of host publication2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538659359
DOIs
StatePublished - 2 Jul 2018
Externally publishedYes
Event2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 - Ixtapa, Guerrero, Mexico
Duration: 14 Nov 201816 Nov 2018

Publication series

Name2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

Conference

Conference2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018
Country/TerritoryMexico
CityIxtapa, Guerrero
Period14/11/1816/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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