Applying motivational design to support informal learning of universal design for web applications
Huang, Yun; Dobreski, Brian
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https://hdl.handle.net/2142/96753
Description
Title
Applying motivational design to support informal learning of universal design for web applications
Author(s)
Huang, Yun
Dobreski, Brian
Issue Date
2017
Keyword(s)
Universal design
Online learning
Attention, Relevancy, Competence, and Satisfaction (ARCS) model
Crowdsourcing
Search
Abstract
We introduce CAN (Composable Accessibility Infrastructure), a framework to support learning Universal Design for web applications. We present how the ARCS (Attention, Relevancy, Competence, and Satisfaction) Model of Motivational Design is implemented to support informal online learning. In particular, CAN provides different searching mechanisms that allow web developers to independently learn different aspects of Universal Design, to build knowledge on how to address web accessibility issues, and to expand their understandings by leveraging CAN’s search on relevant topics from other communities.
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