Robots in special education: reasons for low uptake

Purpose The purpose of this paper is to identify the main reasons for low uptake of robots in special education (SE), obtained from an analysis of previous studies that used robots in the area, and from interviewing SE teachers about the topic. Design/methodology/approach An analysis of 18 studies t...

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Bibliographic Details
Published inJournal of enabling technologies Vol. 13; no. 2; pp. 59 - 69
Main Authors Galvez Trigo, Maria Jose, Standen, Penelope Jane, Cobb, Sue Valerie Gray
Format Journal Article
LanguageEnglish
Published Bingley Emerald Publishing Limited 19.08.2019
Emerald Group Publishing Limited
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Summary:Purpose The purpose of this paper is to identify the main reasons for low uptake of robots in special education (SE), obtained from an analysis of previous studies that used robots in the area, and from interviewing SE teachers about the topic. Design/methodology/approach An analysis of 18 studies that used robots in SE was performed, and the conclusions were complemented and compared with the feedback from interviewing 13 SE teachers from Spain and the UK about the reasons they believed caused the low uptake of robots in SE classrooms. Findings Five main reasons why SE schools do not normally use robots in their classrooms were identified: the inability to acquire the system due to its price or availability; its difficulty of use; the low range of activities offered; the limited ways of interaction offered; and the inability to use different robots with the same software. Originality/value Previous studies focussed on exploring the advantages of using robots to help children with autism spectrum conditions and learning disabilities. This study takes a step further and looks into the reasons why, despite the benefits shown, robots are rarely used in real-life settings after the relevant study ends. The authors also present a potential solution to the issues found: involving end users in the design and development of new systems using a user-centred design approach for all the components, including methods of interaction, learning activities and the most suitable type of robots.
ISSN:2398-6263
2398-6271
DOI:10.1108/JET-12-2018-0070