Bridging AI and Human Learning
Investigating how we can use large language models to understand the complexities of teaching and learning, while ensuring AI-enhanced education remains authentic and effective.
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Research Focus Areas
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AI Learning Design
Balancing simulation fidelity with learning effectiveness in AI-based educational environments
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Learning Effectiveness
Measuring how different teaching strategies affect learning progress in AI-enhanced environments
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Teaching Practice
Understanding the specialized knowledge needed for effective instruction in the age of AI
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Educational AI
Developing frameworks to evaluate and improve AI-based educational interactions
Latest Work
View AllIn Progress
Teaching and Learning in the Age of Generative AI
For the Learning of Mathematics
In Progress
Text-as-Data in Mathematics Education
AMS Special Session on SoTL
2023
Teaching Geometry for Secondary Teachers
International Journal of Research in Undergraduate Mathematics Education