Projects & Collaborators

Fostering conceptual understanding and skill with an intelligent tutoring system for equation solving

  • Collaborators: Vincent Aleven, Carnegie Mellon University
  • This project will develop a new intelligent tutoring system for algebra equation solving that will foster learners’ acquisition of integrated conceptual and procedural knowledge. The new system will incorporate a range of conceptually-oriented activities, including self-explanations, visual representations, and “warm-up” to activate relevant prior knowledge.
  • Funded by the National Science Foundation, 6/1/18 – 5/31/21

Cultivating Knowledge of Mathematical Equivalence

The role of visual representations in children’s learning about biological variability

  • Collaborators: Karl Rosengren, University of Wisconsin; Chuck Kalish, University of Wisconsin
  • The broad aim of the current proposal is to investigate the role of visual
  • representations in promoting (or interfering with) learning and transfer about biological variability. We will focus on two types of visual representations: lifecycle diagrams and genetic diagrams.
  • Funded by the National Science Foundation, 9/1/18 – 8/31/21

Connecting Mathematical Ideas through Multimodal Instruction

Relations between Gesture, Action and Thinking