Designing with AI to Amplify Teacher’s Math Instruction

Three years into genAI’s arrival in schools, one lesson is clear: the most useful tools don’t replace teacher judgment, they strengthen it. This session shares classroom-tested design principles for building AI-supported formative assessment that helps K–5 teachers make sense of student mathematical thinking and discourse while honoring teacher autonomy and expertise. Presenters will unpack what it takes to translate standards-aligned learning into actionable insights, integrate research-based practices for math discourse, and embed subject-matter pedagogy with an explicit equity lens. We’ll examine the design choices that shape trust and usability in real classrooms, including how AI explains its reasoning, how recommendations support (rather than dictate) small-group instruction, and how workflows can be streamlined without undermining teachers' judgement. Grounded in learnings from pilots across the U.S., this session offers concrete takeaways for educators, designers, and leaders building or selecting AI tools that are instructionally meaningful, equitable, and teacher-led.