Event Date & Schedule

Tuesday, February 17, 2026

All times listed in Eastern Time (ET)

• 11:30 AM – 12:00 PM: Opening Session (Welcome & Framing)
• 12:30 – 1:30 PM: Concurrent Session Block 1 (choose 1 of 2)
• 2:00 – 3:00 PM: Concurrent Session Block 2 (choose 1 of 2)
• 3:30 – 4:30 PM: Concurrent Session Block 3 (choose 1 of 2)

Thirty-minute breaks are built in between sessions to allow for transitions, presenter setup, and participant breaks.

Participants may attend three live sessions and will receive access to recordings of all sessions, including those they do not attend live.

Why You Should Attend

Artificial intelligence is already influencing mathematics classrooms, assessments, and instructional decision-making—often faster than systems and leaders can respond. This summit is designed for math leaders and educators who want to move beyond reactive approaches and develop a clearer, more intentional stance on AI use.

Participants will:

• Explore how AI intersects with high-quality math instruction and worthwhile tasks
• Examine implications for assessment, evidence of learning, and student reasoning
• Learn how AI can support leadership practices, data use, and instructional coherence
• Engage with national experts shaping the conversation around AI and mathematics education

Register for the Virtual Summit

Registration Details:

• NCSM Members: Free
• Non-Members: $85
  • Includes a one-year NCSM membership, providing access to future member-only events and resources

To attend the summit, you must complete the registration form and include a valid email address.

Access information for the virtual summit will be sent to registered participants prior to the event.

👉 Click here to register (registration link coming soon)

NCSM will accept registrations on a space available basis.

Please contact NCSM Office (303-317-6595) to check availability. Registration is not guaranteed until your payment is received.

Sessions

Universal Design Meets AI: Differentiating Math for All Learners

Presenter: Karen Levin

You know your students need differentiated math lessons: the multilingual learners, the early finishers, those needing extra support. You have the expertise, but not the hours. Can AI help?

In this interactive session, you’ll first learn what’s under the hood of AI and what that means for your classroom. Next, you’ll use generative AI to enhance universal design and discourse, learning to spot when AI strengthens thinking versus when it undermines it.

AI Use in K-12 Math Classrooms: An Emerging Picture

Presenters: Drew Nucci and Ann Edwards

We will share recent nationwide survey findings about K-12 mathematics teachers’ AI use, beliefs, barriers, and supports. These findings are supplemented by examples of transformative use from a qualitative exploratory study with 40 teachers and educational professionals along with an analysis of the resources, policies, and messaging that support AI use for improved instruction.

Worthwhile Tasks in an AI World

Presenter: Gail Burrill

AI is in our classrooms with or without our say and can do almost any mathematical task, sometimes correctly and sometimes not so much. The question is how can we engage students in learning to reason, make connections, and solve problems when AI often does it for them? This session considers how we can frame worthwhile tasks that promote student thinking and reasoning about mathematics in an era where AI is easily available and can be an “answer getter”.

Leveraging AI to Implement Initiatives for High Quality Math Instruction

Presenter: Tim Chalberg

This session will consider how AI can address barriers to implementing existing best practices for math instruction. It will include use cases for how AI can bring building-wide and district-wide visions for high quality math instruction to the ground level through artifacts like rubrics and lesson plans.

When Good Work Stops Being Evidence: Rethinking Assessment in an AI World

Presenter: Chadd McGlone

Student work is looking more polished than ever—yet many educators report a growing unease: something important is missing. In an era when fluent explanations, solutions, and arguments can be generated instantly by AI, familiar assessment practices no longer earn the claims we make from them.

This session reframes the challenge not as one of cheating, motivation, or tool misuse, but as a problem of inference. When production becomes cheap, what kinds of evidence still allow educators to make honest, defensible claims about learning?

Participants will be introduced to a small set of durable ways to recognize student judgment, sense making, and responsibility for meaning—without relying on surveillance, detection tools, or heroic teaching. The session emphasizes practical shifts in how tasks are framed, how evidence is sampled, and how assessment decisions are justified in classrooms and institutions.

Attendees will leave with language and design principles they can use immediately to rethink assessment in a world where AI is always present.

AI-Powered Math Education Leadership: Transforming Assessment, Data, and Collaboration

Presenters: Min Sun and Alex Liu

This session is designed specifically for math teacher leaders ready to harness AI to elevate their instructional leadership. During this hands-on workshop, you’ll discover how AI tools can generate differentiated math assessments aligned to standards, analyze student performance data to identify learning gaps and trends, and create structured PLC protocols that drive meaningful teacher collaboration. Whether you’re a department chair, instructional coach, or teacher leader, this session will equip you with the skill to integrate AI thoughtfully into your leadership practice while maintaining human judgment.