Using Generative AI to Reframe Mathematical Tasks for Personalized Learning
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.
Authors
- Katie Bainbridge (ORCID: https://orcid.org/0000-0003-2224-5140)
- Candace Walkington (ORCID: https://orcid.org/0000-0002-2338-8760)
- Theodora Beauchamp
Institutions
- Southern Methodist University (US)
- Rice University (US)
Publication Details
- Journal
- Ohio Journal of School Mathematics
- Published
- 2025-05-31
- DOI
- https://doi.org/10.18061/ojsm.5051
- Citations
- 1
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Bill and Melinda Gates Foundation
- Rice University