Using Generative AI to Reframe Mathematical Tasks for Personalized Learning
Abstract
The authors explore how generative AI can reframe mathematical tasks for personalized learning. Building on prior work showing that interest-based tasks (e.g., sports, movies, video games) boost student engagement, this study examines teachers’ use of the MagicSchool tool for K–9 students. It reports on teachers’ positive and negative experiences, discusses AI’s affordances and limitations for personalization, and evaluates the readability of AI-generated problems.
Keywords: Generative Artificial Intelligence,, Personalized Mathematics Tasks, Teacher Practice
How to Cite:
Beauchamp, T., Walkington, C. & Bainbridge, K., (2025) “Using Generative AI to Reframe Mathematical Tasks for Personalized Learning ”, Ohio Journal of School Mathematics 99, 6--18.
Rights: Theodora Beauchamp, Candace Walkington, Katie Donaldson
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