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Yuan, Lei Assistant Professor

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  • My research goal is to better understand human learning by characterizing the structure of input data in children's early learning environment, the processes and mechanisms through which children learn from this data, and how this learning creates hidden deficits or competencies for later school learning. To that end, my lab combines large-scale cross-sectional and longitudinal studies, training experiments, computational modeling, high-density behavioral data collection (e.g., eye tracking), and translational research in schools.

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  • Cognitive Science, Cognitive Development, Education, Learning

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