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.
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.
Stevens Faculty to Lead AI and Mathematics Dialogues in 2026
In January 2026, researchers from the Laboratory for Artificial Intelligence in Mathematics Education will help drive national discussions at two major conferences.
At the Joint Mathematics Meetings (JMM 2026) in Washington, D.C., Eric Ramos, Alexei Miasnikov, and Jan Cannizzo will lead special sessions on AI in combinatorics and group theory. Meanwhile, at the International Symposium on Artificial Intelligence and Mathematics (ISAIM 2026) in Fort Lauderdale, Alexei Miasnikov will co-organize a session on AI in group theory—advancing how AI supports mathematical discovery.
