Evaluation of the Accessibility of the Saups Academic Monitoring System for Students with Disabilities

Bertha Alice Naranjo Sanchez, Williams Eduardo Choez Rodriguez, Anthony Leonel Barros Gonzalez

Research output: Contribution to conferencePaper

Abstract

Evaluating the level of accessibility of the tools that are used by students must be a subject of study, since there are still tools that are inaccessible for people with disabilities. The present paper evaluates the web accessibility of the Academic Monitoring System used in Universidad Politécnica Salesiana for students with disabilities, called SAUPS, from a quality perspective, to determine if it is accessible or not for students. For the evaluation, it was created an integral accessibility evaluation model which employed a mixed method using the ISO 25000 standard together with web accessibility guidelines collected in the ISO 40500 standard, and also automated tools to evaluate the software, and a manual evaluation based on three profiles, namely the technician, the user and the administrator; thus, a sample of students with different disabilities qualified the tool according to the features and simplicities it provides. As a result, it was obtained a high level of accessibility of the system, which evidences that including quality aspects in the development of software products, from the requirements engineering process, is key to create accessible products.
Translated title of the contributionEvaluación de la Accesibilidad del Sistema de Seguimiento Académico Saups para Estudiantes con Discapacidad
Original languageEnglish (US)
DOIs
StatePublished - 7 Mar 2022
Event16th International Technology, Education and Development Conference (INTED2022) - ES
Duration: 7 Mar 20228 Mar 2022
https://iated.org/archive/inted2022

Conference

Conference16th International Technology, Education and Development Conference (INTED2022)
Period7/03/228/03/22
Internet address

Keywords

  • Academic monitoring
  • Disability
  • Iso 25000
  • Wcag 2.0
  • Web accessibility

CACES Knowledge Areas

  • 116A Computer Science

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