“Exceptional Talent and Enthusiasm for Math”: An Examination of Storylines Circulated by ChatGPT about Mathematical Learners

Storylines exist about the types of learners who participate and excel in mathematics. To understand how AI chatbots participate in such storylines, we examined ChatGPT’s feedback to different learners’ mathematical writing in an exploratory study. Learners included academic labels, like gifted and special education, and race/ethnicity, like Black or Asian. Analysis of ChatGPT feedback illustrated storylines that White and Asian students were neutral and Black students were exceptional. The feedback generally participated in the narrative that doing math consists primarily in performing calculations. ChatGPT also promoted narratives that students in special education, with learning disabilities, or English language learners are similarly able and need to overcome challenges to be mathematically successful.

Authors

Publication Details

Journal
International Journal of Education in Mathematics Science and Technology
Published
2024-09-22
DOI
https://doi.org/10.46328/ijemst.4461
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“Exceptional Talent and Enthusiasm for Math”: An Examination of Storylines Circulated by ChatGPT about Mathematical Learners

R. Alex Smith, Madeline Day Price, Erin Smith
International Journal of Education in Mathematics Science and Technology
Intelligent Tutoring Systems and Adaptive Learning
article

“Exceptional Talent and Enthusiasm for Math”: An Examination of Storylines Circulated by ChatGPT about Mathematical Learners

R. Alex Smith, Madeline Day Price, Erin Smith
article en

Abstract

Storylines exist about the types of learners who participate and excel in mathematics. To understand how AI chatbots participate in such storylines, we examined ChatGPT’s feedback to different learners’ mathematical writing in an exploratory study. Learners included academic labels, like gifted and special education, and race/ethnicity, like Black or Asian. Analysis of ChatGPT feedback illustrated storylines that White and Asian students were neutral and Black students were exceptional. The feedback generally participated in the narrative that doing math consists primarily in performing calculations. ChatGPT also promoted narratives that students in special education, with learning disabilities, or English language learners are similarly able and need to overcome challenges to be mathematically successful.

International Journal of Education in Mathematics Science and Technology
Quality Education
Openalex Percentile: Top 82%
Intelligent Tutoring Systems and Adaptive Learning
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.