Sarah-May Mcvey
Papers
1
Total Citations
7
H-Index
1
About
Dr. Sarah-May Mcvey is a pioneering researcher at the intersection of educational technology and special education, with a primary focus on leveraging robotics and artificial intelligence to support students with learning differences. Her most-cited work, "Educational Robotics and Dyslexia: Investigating How Reinforcement Learning in Robotics Can Be Used to Help Support Students with Dyslexia" (2023, 7 citations), represents a groundbreaking contribution to adaptive learning systems. In this study, Mcvey demonstrates how reinforcement learning algorithms can be integrated into robotic platforms to create personalized, interactive interventions for dyslexic learners—a novel approach that bridges cognitive science, machine learning, and pedagogy. Her research not only advances theoretical understanding of how robotic systems can respond to individual student needs in real time but also offers practical, scalable tools for classrooms. Mcvey’s work has been recognized for its potential to democratize access to specialized support, and she is actively shaping conversations around inclusive technology design. With a growing citation footprint and a clear trajectory toward impactful, applied research, Mcvey stands out as a rising voice in the field of educational robotics and neurodiversity.
Research Focus
Key Achievements
Top Papers
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