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Laboratory for Artificial Intelligence in Mathematics Education

The Laboratory for Artificial Intelligence in Mathematics Education aims to enhance large language models' mathematical reasoning and their applications in education – bridging the gap between human expertise and AI’s potential in math education.

Our Mission

Improving math education is one of the principal problems in modern education, and given the central role of mathematics in all STEM fields, it represents a major challenge for modern society as a whole. It has been understood for some time that solving this problem requires technology, which may include AI.

There is currently a great deal of hype surrounding the capabilities of AI systems, notably large language models, but there is also reason to believe that AI systems will form the basis of transformative educational technology.

The Laboratory for Artificial Intelligence in Mathematics Education, which represents a collaboration between academia and industry, aims to conduct research that will help us understand, develop, and implement such technology.


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Ready to Transform Teaching Practices

This new collaboration with Stevens and Nebius Academy seeks to improve student performance, apply AI to solve open math problems, discover new hypotheses and test LLM technologies in math education.

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Elevating AI Standards in Mathematics Education

In its pursuit of breakthroughs in thoughtful, responsible AI and math education, the lab has already achieved a milestone through the development of U-MATH, the largest university-level mathematics benchmark. Our participating faculty and our collaborators address this crucial step.


Collaborators

The Laboratory for Artificial Intelligence in Mathematics Education will leverage advanced computing resources in collaboration with Gradarius and Nebius AI.

Gradarius. Nebius AI.



"The work of the lab seeks to fundamentally transform mathematics education by developing AI-driven tools that adapt to individual learning styles, provide personalized instruction and offer new insights into mathematical reasoning.
Michael ZabarankinChair of the Department of Mathematical Sciences

Contacts

Alexei Miasnikov
Alexei Miasnikov
Director, Laboratory for AI in Mathematics Education and Professor, Department of Mathematical Sciences
Michael Zabarankin (mzabaran)
Michael Zabarankin
Professor and Department Chair of the Department of Mathematical Sciences
Jan Cannizzo
Jan Cannizzo
Teaching Associate Professor and Associate Chair for Undergraduate Studies in the Department of Mathematical Sciences