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Title:Applying motivational design to support informal learning of universal design for web applications
Author(s):Huang, Yun; Dobreski, Brian
Subject(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.
Issue Date:2017
Publisher:iSchools
Citation Info:Huang, Y., & Dobreski, B. (2017). Applying Motivational Design to Support Informal Learning of Universal Design for Web Applications. In iConference 2017 Proceedings (pp. 426-434). https://doi.org/10.9776/17213
Series/Report:iConference 2017 Proceedings
Genre:Conference Paper/Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96753
DOI:https://doi.org/10.9776/17213
Rights Information:Copyright 2017 Yun Huang and Brian Dobreski
Date Available in IDEALS:2017-07-27


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