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Math AI for Education (MATHAI4ED): Bridging the Gap Between Research and Smart Education
Pan Lu · Yuhuai Wu · Sean Welleck · Xiaodan Liang · Eric Xing · James McClelland

Tue Dec 14 08:55 AM -- 06:05 PM (PST) @
Event URL: https://mathai4ed.github.io/ »

Mathematical reasoning is a unique aspect of human intelligence and a fundamental building block for scientific and intellectual pursuits. However, learning mathematics is often a challenging human endeavor that relies on expert instructors to create, teach and evaluate mathematical material. From an educational perspective, AI systems that aid in this process offer increased inclusion and accessibility, efficiency, and understanding of mathematics. Moreover, building systems capable of understanding, creating, and using mathematics offers a unique setting for studying reasoning in AI. This workshop will investigate the intersection of mathematics education and AI, including applications to teaching, evaluation, and assisting. Enabling these applications requires not only innovations in math AI research, but also a better understanding of the challenges in real-world education scenarios. Hence, we will bring together a group of experts from a diverse set of backgrounds, institutions, and disciplines to drive progress on these and other real-world education scenarios, and to discuss the promise and challenge of integrating mathematical AI into education.

Author Information

Pan Lu (University of California, Los Angeles)
Yuhuai Wu (Stanford University / Google)
Sean Welleck (University of Washington)
Xiaodan Liang (Sun Yat-sen University)
Eric Xing (Petuum Inc. / Carnegie Mellon University)
James McClelland (Stanford University)

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