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A novel, scenario-based, curriculum-mapped, multimedia stroke e-learning tool was developed by a multi-professional project team incorporating experts in stroke, education and virtual reality and human computer interaction. Resource acquisition and generation involved capturing of “real-time, real-life” patient data, including video and audio recordings, and the creation of a digital stroke taxonomy classifying the symptoms and signs of stroke. A number of approaches were explored for visually demonstrating the effects of functional impairment in stroke patients using animations and juxtaposing brain imaging scans and 3D models. An iterative, evolutionary, action research approach was employed to build the e-learning tool around an array of acute neurological scenarios of stroke and stroke-mimic presentations. Each scenario followed a standardised teaching process aligned to the “patient journey”. Evaluation helped to focus on how successful different interface elements reinforced the underlying development design strands.

Development of a Novel Multimedia E-Learning Tool for Teaching the Symptoms and Signs of Stroke