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Physical Programming for Blind and Low Vision Children at Scale

Bibliographic Data

ID15216202
AuthorsCecily Morrison (0000-0001-5013-3715, Microsoft Research, UK, corresponding author), Nicolas Villar (Microsoft Research, UK), Alex Hadwen-Bennett (0000-0002-7858-5171, Kings College London, Centre for Research in Education in Science, Technology, Engineering & Mathematics, UK), Tim Regan (0000-0002-0979-7875, Microsoft Research, UK), Daniel Cletheroe (0009-0003-6444-9149, Microsoft Research, UK), Anja Thieme (0000-0002-9639-5531, Microsoft Research, UK), Sue Sentance (0000-0002-0259-7408, Kings College London, Centre for Research in Education in Science, Technology, Engineering & Mathematics, UK)
Year2019
Volume36
Issue5-6
Pages535-569
Publication date2019-07-03
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07370024.2019.1621175
OpenAlexW2948738675
LanguageEN
Citations received1
References cited50

There is a dearth of appropriate tools for young learners with mixed visual abilities to engage with computational learning. Addressing this gap, Torino is a physical programming language for teaching computational learning to children ages 7–11 regardless of level of vision. To create code, children connect physical instruction pods and tune their parameter dials to create music, audio stories, or poetry. Currently, the uptake of novel educational technologies to support inclusive education of children with disabilities continues to be limited at scale. We consider how the Torino Learning Environment supports non-specialist teachers to teach computational learning to children with mixed visual abilities in a UK-wide evaluation with 75 children and 30 teachers over a period of three months. We demonstrate how children can successfully learn with a novel physical programming language. We articulate how key design constructs such as persistent program overview and liveness supported non-specialist teachers to co-produce learning for children of different ages, visual and cognitive abilities. We conclude with reflective guidance on evaluating inclusive educational technologies at scale.CCS CONCEPTSHuman-centered computing → Accessibility → Empirical studies in accessibility

Liveness · Mathematics education · Multimedia · Programming language · Scale (ratio · Computer Science · Embedded Systems Design Techniques · IoT and Edge/Fog Computing · Psychology · Teaching and Learning Programming

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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