One of the central objectives of science education research is developing learning frameworks that support discovery and innovation. To develop such frameworks, the process of discovery and innovation in science and engineering needs to be understood clearly. The LSR group investigates this process using ethnographic and microgenetic studies, and developing theoretical models of the cognitive and neural mechanisms underlying discovery and innovation. In particular, we are interested in the role of modeling in discovery and innovation.
Significant Publications
- Building Cognition: the Construction of Computational Representations for Scientific Discovery pdf
- Becoming Knowledge: Cognitive and Neural Mechanisms That Support Scientific Intuition pdf
- Active Pathways: Using Active Tangibles and Interactive Tabletops for Collaborative Modeling in Systems Biology pdf
- Turning experiments into objects: the cognitive processes involved in the design of a lab-on-a-chip device pdf
- “Hearts Pump and Hearts Beat”: Engineering Estimation as a form of model-based reasoning pdf
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