AI in Math

The AI in Math program provides students the opportunity to develop AI literacy and self-efficacy in solving problems using AI and learning AI topics, and to simultaneously improve their math learning and attitudes toward math. AI literacy is a set of competencies that enables individuals to critically evaluate AI technologies; communicate and collaborate effectively with AI; and use AI as a tool online, at home, and in the workplace. Through a series of progressively complex tasks, students explore text analysis in relationship to algebraic equations with the goal of ultimately creating a working sentiment analysis model.

To prepare to use this activity with your class, first run the Teacher Edition, which adds a layer of teacher tips to the student version of the AI in Math Blue Sequence, which is a 6-activity curriculum module. By the end of the sequence, you will be familiar with the curriculum and an expert on teaching AI in Math.

Assignable student materials below

Package Includes

  • Teacher Edition
  • Assessments
  • Student Guide
  • Class Dashboard

Teacher Resources

Theory & Background

Introduction to AI in Math
Description of the program materials.

Student Hub
Instructions and FAQs for FLVS students enrolled in the fall 2025 pilot.

Learning Goals & Assessment

Standards Alignment
The AI in Math curriculum is aligned with NGSS, NSES and AAAS.

Class Dashboard Guide
Track students' progress and responses in real-time.

AI in Math Sequences



Partners

The Concord Consortium WestEd Texas Tech University of Florida Florida Virtual School U.S. Department of Education

Comments, questions, or feedback on AI in Math? Please send them to ai4vs@concord.org.