Call for Papers
The MathAI4Ed workshop will provide a forum for discussing how to investigate the intersection of mathematics education and AI. We hope to gather 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.
In particular, we are interested in, but not limited to, the following areas of applications:
- Teaching: Intelligent tutoring systems that effectively assist students in math learning.
- Evaluation: AI-assisted grading systems like Gradescope and personalized testing platforms like IXL.
- Assisting: Symbolic mathematics tools such as Mathematica and Maple in advanced math education.
We are also interested in these applications require key advances in artificial intelligence and machine learning areas such as:
- Interpretability: Opening up the “black box” and providing explainable and interpretable AI.
- Reasoning: Informal and formal reasoning agents that can communicate and interact with humans.
- Core methods: Multimodal and neuro-symbolic approaches in mathematical domains.
We are also interested in key advances in artificial intelligence and machine learning that enable these applications, such as:
- Accessibility: How can AI most effectively aid mathematical education for a diversity of backgrounds?
- Applications: Which near- and long-term applications of AI in math education are most impactful?
- Approaches: Which research advances are necessary for enabling these applications?
- Looking forward: What is the future of mathematical education and research?
Paper submission opens: Sep 3, 12:00PM PST
Deadline for paper submission:
Oct 06, 2021 Oct 12, 2021 (11:59pm Pacific Time)
Notification: Oct 23, 2021 (11:59pm Pacific Time)
Camera Ready: Nov 01, 2021 (11:59pm Pacific Time)
Workshop: Dec 14, 2021
Submissions to MathAI4Ed 2021 are limited to 4 pages of content, but may contain an unlimited number of pages for references and appendices. The latter may not necessarily be read by the reviewers. We request and recommend that authors rely on the supplementary material only to include minor details (e.g., hyperparameter settings, reproducibility information, etc.) that do not fit in the 4 pages. The review process is double-blind, so please ensure that all papers are appropriately anonymised.
All submissions must be formatted with LaTeX using the NeurIPS paper format (Adapted).
All accepted papers will be presented in a virtual poster session, and some will be selected for oral presentation. We also permit papers that have been recently published or are under submission to another venue. Please mark such papers accordingly upon submission. The page limit for these submissions is 4 pages. Accepted papers will be published on the MathAI4Ed homepage, but are to be considered non-archival.
Submission Link: https://cmt3.research.microsoft.com/MATHAI4ED2021
Please email any enquiries to email@example.com.