Integrating AI for Deeper Math Learning
May 7, 2025
Explore how to leverage the power of generative AI to enhance, not replace, the cognitive lift and meaningful learning in K-12 math classrooms. Members of the AI for Education and Student Achievement Partners team will discuss practical strategies for integrating generative AI into instruction while preserving the productive struggle essential for mathematical development.
Key topics include:
Strategic AI Integration: Learn to differentiate between AI uses that enhance learning versus those that replace critical thinking opportunities, with special focus on appropriate applications for elementary and secondary students.
Math-Specific AI Tools: Explore the important differences between foundational language models and specialized math tools, and identify when each is appropriate for classroom use.
Practical Implementation Strategies: Discover concrete strategies for both students and teachers, including AI tutoring approaches, generating authentic practice problems, differentiation support, and scaffolding techniques.
Student-Centered Planning: Master the approach for evaluating AI tools through the lens of student learning outcomes rather than technology-driven tasks.
Participants will receive a comprehensive downloadable guide that provides a framework for effectively implementing GenAI tools in mathematics classrooms.
Join us as we explore this evolving educational landscape and discuss practical approaches to enhance mathematics instruction with generative AI!
Can’t make the time? A recording + resources will be emailed to all registrants.
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Amanda Bickerstaff
Amanda is the Founder and CEO of AI for Education. A former high school science teacher and EdTech executive with over 20 years of experience in the education sector, she has a deep understanding of the challenges and opportunities that AI can offer. She is a frequent consultant, speaker, and writer on the topic of AI in education, leading workshops and professional learning across both K12 and Higher Ed. Amanda is committed to helping schools and teachers maximize their potential through the ethical and equitable adoption of AI.
Jun Li
Jun is a Director on the math team at Student Achievement Partners. Prior to this role, she has served as a middle school math teacher, curriculum and assessment writer, and in various charter network leadership roles designing math programs and coaching teachers and leaders in math curriculum implementation. She holds a MSEd from the University of Pennsylvania. Jun is inspired by work that sits at the intersection of math, professional learning, and instructional practices that place student thinking at the center of instruction. Throughout her work, she has been driven by learning about and creating learning experiences that make doing equitable teaching practices more prevalent and accessible.
Jasmine Costello
Jasmine is a Product Manager at Student Achievement Partners. Prior to this role, Jasmine was a project manager, education researcher, and classroom teacher in Philadelphia. She has an MS in Effective Teaching and Learning from the University College of London where she attended as a Fulbright scholar. Jasmine is committed to finding creative solutions that serve students who have been historically and systemically underserved by our country’s education system. She is passionate about working towards greater educational equity and creating tools that support all students to thrive as their authentic selves.
Mandy DePriest
Mandy is a Curriculum & Content Developer at AI for Education. She has over 15 years of experience in public education, having served as a classroom teacher, library media specialist, and instructional coach. She has also taught education technology courses in higher education settings as well as professional development workshops for teachers on the transformative power of technology. She is committed to ensuring that students are prepared for the dynamic demands of the future by leveraging the power of technology-driven instruction.