(NeurIPS 2021 Workshop)

Overview

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 endeavorthat 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:

These applications require key advances in artificial intelligence and machine learning areas such as:

Enabling these applications requires not only innovations in math AI research, but also a better understand-ing 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. Discussion topics include but are not limited to:


Speakers & Panelists

Yuri Burda
Yuri Burda
OpenAI
Hannaneh Hajishirzi
Hannaneh Hajishirzi
University of Washington
Sumeet Singh
Sumeet Singh
Turnitin
Kurt Vanlehn
Kurt Vanlehn
Arizona State University
Stephen Wolfram
Stephen Wolfram
Wolfram Research
More Info

Organizers

Pan Lu
Pan Lu
UCLA
Yuhuai (Tony) Wu
Yuhuai (Tony) Wu
Stanford University / Google
Sean Welleck
Sean Welleck
University of Washington, AI2
Xiaodan Liang
Xiaodan Liang
Sun Yat-sen University
Eric P. Xing
Eric P. Xing
CMU, MBZUAI
Jay McClelland
Jay McClelland
Stanford University

Program Committee


Related Venues


Contact: mathai4ed.neurips2021@gmail.com.