Florida teacher uses ALTER Math to have students teach AI math

In Okaloosa County, Florida, teacher Shannon Anderson is using ALTER Math in her classroom. The AI-powered learning tool was developed by a team led by University of Florida researchers and uses a "learning by teaching" strategy: students act as teachers, explaining math concepts to an AI "student," identifying and correcting its mistakes. Students can also personalize their AI learner and choose problem-solving contexts tied to interests such as sports or music. Researchers are continuing to study how the technology can improve math achievement and engagement.

This case shows one design direction for AI education products: placing the AI in the role of the learner and requiring students to explain their reasoning and correct the AI's mistakes, rather than giving answers directly. It offers a concrete classroom practice amid debates over AI and screen time, and it puts the research focus on math achievement and engagement. The original text only says researchers are continuing to study the tool and provides no independent study or quantitative results, so effects remain unverified. Teachers gain a classroom AI tool that asks students to explain reasoning and correct AI mistakes, rather than a tutor that gives answers directly. Students take the role of teacher to explain math concepts and can choose problem-solving contexts tied to interests such as sports or music.