Students’ Use of ChatGPT in an Algebra Class: A Case Study of Prompts and Attitudes

This case study explores how upper-secondary students used ChatGPT in a Finnish algebra course and their attitudes toward its integration. Drawing on Technology-Mediated Learning (TML) and Self-Regulated Learning (SRL) frameworks, the study analysed students’ ChatGPT interactions and questionnaire responses. While most students found ChatGPT easy to use and helpful, their spontaneous use of the tool remained limited. Prompts varied in quality, with few demonstrating goal-setting, reflection, or exploratory engagement. The findings suggest that without explicit scaffolding, students tend to rely on generative AI for quick answers rather than as a tool for deeper learning and problem-solving.

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Publication Details

Journal
LUMAT International Journal on Math Science and Technology Education
Published
2025-11-25
DOI
https://doi.org/10.31129/lumat.13.1.2877
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Students’ Use of ChatGPT in an Algebra Class: A Case Study of Prompts and Attitudes

Solveig Wallin, Mats Braskén, Kim-Erik Berts, Sofia Frilund
LUMAT International Journal on Math Science and Technology Education
Artificial Intelligence in Healthcare and Education
article

Students’ Use of ChatGPT in an Algebra Class: A Case Study of Prompts and Attitudes

Solveig Wallin, Mats Braskén, Kim-Erik Berts, Sofia Frilund
article en

Abstract

This case study explores how upper-secondary students used ChatGPT in a Finnish algebra course and their attitudes toward its integration. Drawing on Technology-Mediated Learning (TML) and Self-Regulated Learning (SRL) frameworks, the study analysed students’ ChatGPT interactions and questionnaire responses. While most students found ChatGPT easy to use and helpful, their spontaneous use of the tool remained limited. Prompts varied in quality, with few demonstrating goal-setting, reflection, or exploratory engagement. The findings suggest that without explicit scaffolding, students tend to rely on generative AI for quick answers rather than as a tool for deeper learning and problem-solving.

LUMAT International Journal on Math Science and Technology EducationVol. 13(1)
Åbo Akademi University (FI), Novia University of Applied Sciences (FI), University of Vaasa (FI)
Openalex Percentile: Top 70%
Artificial Intelligence in Healthcare and Education
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