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.

Mike Ion

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

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In 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

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