Learning From and With Students'
Mathematical Thinking
Mathematical Thinking
Students' mathematical ideas are at the heart of our work. We believe that meaningful mathematics learning grows through opportunities to explore ideas, make connections, explain reasoning, encounter different perspectives, and engage in sustained mathematical inquiry. Teachers play a central role in creating and supporting these opportunities, drawing on their understanding of mathematics, their students, and the contexts in which learning takes place.
Building on the legacy of the Math Forum, EnCoMPASS, and ORCIDS, our work brings together teachers, researchers, and technology developers to explore how we can better understand students' mathematical thinking and support teaching practices that foster deep and sustained mathematical engagement and learning.
Our newest initiative, MENTIR-AI, extends this work by exploring how artificial intelligence can support teachers in their work with students and in their own professional learning. This includes helping teachers interpret and respond to student work, support mathematical interactions during classroom instruction, prepare for and reflect on instructional experiences, and engage in ongoing professional growth.
We're inviting mathematics teachers to help develop, test, and improve MENTIR-AI, an emerging AI-supported approach to providing meaningful feedback on students' mathematical work.
Learn about opportunities to participate, contribute your expertise, and help shape tools designed to support teachers and students.
Our research investigates how students reason mathematically, how teachers interpret and respond to their ideas, and how professional learning and emerging technologies can support mathematics education.
Explore our research, publications, ongoing projects, and the ideas connecting the Math Forum, EnCoMPASS, ORCIDS, and MENTIR-AI.
This material is based upon work supported by the National Science Foundation under Grant No. 1222355, 2010306 and the MathForum.org. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.