Work

Using Generative AI to Reframe Mathematical Tasks for Personalized Learning

Year: 2025

Type: article

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.

Source: Ohio Journal of School Mathematics

DOI: 10.18061/ojsm.5051

Authors: Theodora Beauchamp, Candace Walkington, Katie Bainbridge

Institutions: Southern Methodist University, Rice University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

Funders: Bill and Melinda Gates Foundation, Rice University