M Castiglioni

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About

M. Castiglioni is a researcher whose work sits at the intersection of educational technology, robotics, and child development. Their scholarship focuses primarily on the use of robotic systems as pedagogical tools, exploring how robot-supported activities can foster scientific reasoning, problem-solving, and learning engagement among young students. Castiglioni's most influential contribution, "Learning to Explain: The Role of Educational Robots in Science Education" (2013), has garnered 24 citations and advances a distinctive approach to educational robotics — one in which children are not merely builders or programmers of robots, but are challenged to observe, hypothesize, and explain robotic behaviors, deepening their scientific inquiry skills. This theme was established a year earlier in a closely related case study from 2012. More recently, Castiglioni has extended this human-centered robotics framework into clinical settings, investigating how play-based activities with the CoderBot robot can alleviate anxiety and emotional distress in hospitalized children — a particularly meaningful application of educational technology to vulnerable populations. Across their body of work, Castiglioni demonstrates a consistent commitment to harnessing robotics not simply as a technical exercise, but as a vehicle for cognitive, emotional, and scientific growth.