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Creating Accessible Online Instruction Using Universal Design Principles: A LITA Guide - Tapa blanda

Libro 24 de 29: LITA Guides

LUND, BRADY

 
9781538139196: Creating Accessible Online Instruction Using Universal Design Principles: A LITA Guide
Tapa blanda
ISBN 10: 1538139197 ISBN 13: 9781538139196
Editorial: Rowman & Littlefield, 2020

Sinopsis

What is accessibility? Who needs it? Often, accessibility is defined narrowly, with emphasis on physical limitations. Accessibility needs, however, come in many forms, from vision and hearing impairment, to developmental disorders like Autism, to psychiatric conditions like anxiety, depression, ADHD, and PTSD.

Unfortunately, accessibility does not come with a simple set of checkboxes. It is a philosophy and practice that embraces social, physical, and informational elements. Universal design does not come in the form of a quick and easy guide. It is a philosophy. To implement it completely requires more than just screen readers and video captions.

Creating Accessible Online Instruction Using Universal Design Principles introduces the need for accessibility in online education and library services and the framework of universal design for learning. It takes a scoping, rather than a purely technical, approach. It will help you not only o create accessible content, but with how to communicate with students in an accessible manner.

This LITA Guide covers:

accessibility law, Universal Design for Learning and Web Content Accessibility guidelines, and communication and educational research and theory.
The content is interspersed with practical examples and case studies.

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Acerca del autor

Brady Lund, Ph.D., is an assistant professor of information science at the University of North Texas. He has published four books related to technology in libraries and educational institutions - including Casting Light on the Dark Web and Creating Accessible Online Instruction Using Universal Design Principles, both for Rowman and Littlefield Publishing - and nearly 100 articles, editorials, and opinion papers. His work often combines data analytics principles with library and information science research topics. Daniel Agbaji is a Ph.D. student in information science at the University of North Texas, with a major in Data Science-Artificial Intelligence and Machine Learning. As an experienced researcher and software developer, he has written scholarly publications and book chapters with notable publishers. Daniel has published articles in the information science and library field. As a software developer, Daniel has written thousands of lines of code for fortune 500 companies which are not publicly available due to company policies.

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Editorial
Rowman & Littlefield
Año de publicación
2020
Idioma
Inglés
ISBN 10 
1538139197
ISBN 13 
9781538139196
Encuadernación
Tapa blanda
Número de páginas
131
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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