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Demonstration at AZCEC/AZCASE Annual State Conference, Phoenix, AZ 

We develop computing practices for neurodiverse learners. While many researchers in special education adopt a behavioral perspective, we leverage a neurodiversity perspective that is more widely accepted within the autism community itself. We report on an initial phase of a research-practice partnership with a pilot cohort of four middle school teachers with whom we are co-designing embodied musical practices using networked Internet of Things (IoT) wearables with embedded inertial measurement units (IMUs). Our culturally and epistemically diverse teaching fellows work with diverse student populations (Black, Brown, Native American, neurodivergent) at Title 1 schools. The neurodiversity perspective sensitizes our co-design to tactile, kinetic, sensory, and ensemble energies that overflow neurotypical learning modalities, which typically privilege screen- based interaction, cognitivism, and isolation. We find “wearable music” to be an inclusive, mobile, and mobilizing computing approach that foregrounds embodied interactions in fun and engaging group activities surfacing computational thinking (CT). In later phases of this research, our teaching fellows will run workshops for additional educators, scaling the curriculum for implementation and evaluation in many more classrooms. 

Slides associated with panel about ASU-NERC Partnership for Neurodiverse Computational Thinking and Telematic Embodied Learning.