Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Technology-enhanced support for children with Down Syndrome: A systematic literature review

Shahid, Numera M.I., Law, Effie Lai-Chong and Verdezoto, Nervo ORCID: https://orcid.org/0000-0001-5006-4262 2022. Technology-enhanced support for children with Down Syndrome: A systematic literature review. International Journal of Child-Computer Interaction 31 , 100340. 10.1016/j.ijcci.2021.100340

[thumbnail of Journal-Pre-Proof-Technology-enhanced support for children with DW - A systematic literature review.pdf] PDF - Accepted Post-Print Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB)

Abstract

This paper presents a systematic literature review on technology-enhanced support for children with Down Syndrome and young people who match the mental age of children considered neurotypical (NT). The main aim is threefold: to (1) explore the field of digital technologies designed to support children with Down Syndrome, (2) identify technology types, contexts of use, profiles of individuals with Down Syndrome, methodological approaches, and the effectiveness of such supports, and (3) draw out opportunities for future research in this specific area. A systematic literature review was conducted on five search engines resulting in a set of 703 articles, which were screened and filtered in a systematic way until they were narrowed to a corpus of 65 articles for further analysis. The synthesis identify several key findings: (1) there is diversity of technology supports available for children with Down Syndrome targeting individual capabilities, (2) overlapping definitions of technology makes it difficult to place technology supports in individual categories rather than subsets of a broader term, (3) the average sample size remained small for participants in the studies, making it difficult to draw solid conclusions on the effectiveness of the related interventions, (4) the distribution of papers indicates that this is an emerging area of research and is starting to build body of knowledge, and (5) there are limited studies on newer emerging technologies which requires further investigation to explore their potential.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Elsevier
ISSN: 2212-8689
Date of First Compliant Deposit: 27 July 2021
Date of Acceptance: 26 May 2021
Last Modified: 06 Nov 2023 18:40
URI: https://orca.cardiff.ac.uk/id/eprint/142781

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics