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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Generative AI to Reframe Mathematical Tasks for Personalized Learning

Katie Bainbridge, Candace Walkington, Theodora Beauchamp
1 citations
Ohio Journal of School Mathematics
Intelligent Tutoring Systems and Adaptive Learning
2.48
article

Using Generative AI to Reframe Mathematical Tasks for Personalized Learning

Katie Bainbridge, Candace Walkington, Theodora Beauchamp
article en
1 citations

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.

Ohio Journal of School MathematicsVol. 99(1)
Southern Methodist University (US), Rice University (US)
Bill and Melinda Gates Foundation, Rice University
Openalex Percentile: Top 9%
Intelligent Tutoring Systems and Adaptive Learning
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.