Logo image
Using Generative AI to develop maths tasks with a focus on social justice perspectives
Conference paper   Peer reviewed

Using Generative AI to develop maths tasks with a focus on social justice perspectives

Sabahat Awan, Tracey Muir Professor, Chrissy Monteleone As. Prof and Kimberley Wilson
Proceedings of the 48th Annual Conference of the Mathematics Education Research Group of Australasia, 8
Annual Conference of the Mathematics Education Research Group of Australasia (MERGA), 48th (Sydney, Australia, 06-Jul-2026–10-Jul-2026)
Mathematics Education Research Group of Australasia (MERGA)
2026

Abstract

Artificial Intelligence Mathematics

This paper reports on the use of ChatGPT to develop Social Justice Mathematics (SJM) tasks for year 5 and 6 students. Two educators engaged in an iterative prompting process, drawing on a task design framework. Findings indicate that while ChatGPT can produce tasks situated in authentic, equity-oriented contexts, outputs frequently described mathematical activity rather than operationalising it. This requires teachers to apply their pedagogical content knowledge to evaluate and re-direct AI generated content. The SJM task framework proved useful both as a prompt structure and as an evaluative lens for teachers to use for designing authentic social justice-based tasks.

Details

Metrics

1 Record Views
Logo image