Brady Lund

Creating Accessible Online Instruction Using Universal Design Principles (eBook, ePUB)

A LITA Guide

• Format: ePub

Produktbeschreibung

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.

Produktdetails

• Verlag: Bloomsbury eBooks US
• Seitenzahl: 132
• Erscheinungstermin: 28. September 2020
• Englisch
• ISBN-13: 9781538139202
• Artikelnr.: 59965019

Autorenporträt

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.