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Title:An App Recommendation System for Children with Autism Spectrum Disorder
Author(s):Ennis-Cole, Demetria; Chen, Jiangping; Wada, Akiko
Subject(s):recommender systems
information organization and metadata
information seeking/retrieval
Abstract:Technology can help children with Autism Spectrum Disorder (ASD) gain functional and academic skills when the tools used match their specific needs. This paper proposes the development of an app recommendation system for young learners based on their general characteristics and instructional goals. Through a qualitative experiment, we gathered several characteristics of children with ASD as well as their behaviors while using different forms of technology. Through this study, we plan to investigate a systematic method for selecting apps based on the findings.
Issue Date:2015-03-15
Publisher:iSchools
Series/Report:iConference 2015 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/73699
Peer Reviewed:yes
Rights Information:Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2015-03-24


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