The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Factors Determining Learning Object Quality for People With Visual Impairment: Integrating a Service Approach
|
|
Author(s): César Eduardo Velázquez Amador (Universidad Autónoma de Aguascalientes, Mexico), Juan Pedro Cardona Salas (Universidad Autónoma de Aguascalientes, Mexico), Jaime Muñoz Arteaga (Universidad Autónoma de Aguascalientes, Mexico), Francisco Javier Álvarez Rodríguez (Universidad Autónoma de Aguascalientes, Mexico), María Dolores Torres Soto (Universidad Autónoma de Aguascalientes, Mexico)and Aurora Torres Soto (Universidad Autónoma de Aguascalientes, Mexico)
Copyright: 2020
Pages: 14
Source title:
User-Centered Software Development for the Blind and Visually Impaired: Emerging Research and Opportunities
Source Author(s)/Editor(s): Teresita de Jesús Álvarez Robles (Universidad Veracruzana, Mexico), Francisco Javier Álvarez Rodríguez (Universidad Autónoma de Aguascalientes, Mexico)and Edgard Benítez-Guerrero (Universidad Veracruzana, Mexico)
DOI: 10.4018/978-1-5225-8539-8.ch003
Purchase
|
Abstract
Determining the learning object quality presents a special complication because we must consider the characteristics of a software application and an instructional element; the above is complicated by the inclusion of the disability issue because there are factors that must be considered in a special way. The chapter has the objective of presenting which are the main factors that must be considered when developing learning objects for people with visual impairment. The instruments for determining learning object quality usually only consider the area expert perspective, without considering the user opinion. For the above, it is proposed to integrate aspects of service theory in the quality determination in order to generate learning objects that also provide greater satisfaction of use to the student. The chapter also presents example questions that can be used to assess the proposed quality factors.
Related Content
|
Timothy Gifford.
© 2023.
23 pages.
|
|
Sandy White Watson.
© 2023.
18 pages.
|
|
Elaine Wilson, Sarah Chesney.
© 2023.
32 pages.
|
|
Michael Finetti, Nicole Luongo.
© 2023.
30 pages.
|
|
Anurag Vijay Agrawal, R. Pitchai, C. Senthamaraikannan, N. Alangudi Balaji, S. Sajithra, Sampath Boopathi.
© 2023.
23 pages.
|
|
Keri A. Sullivan.
© 2023.
13 pages.
|
|
Nicole L. Lambright.
© 2023.
16 pages.
|
|
|