Abstract
This paper examines how three Australian primary teachers used generative AI to
design and implement rich mathematical tasks. Drawing on multiple data sources
analysed using three theoretical lenses, findings indicate that while generative AI
expanded planning possibilities, the richness of tasks depended on teacher enactment rather than AI output. Teachers with deeper mathematical knowledge for teaching crafted more intentional prompts, critically evaluated outputs, and adapted tasks responsively, positioning professional knowledge as decisive in whether AI-supported task design enhances or constrains meaningful mathematical learning.
design and implement rich mathematical tasks. Drawing on multiple data sources
analysed using three theoretical lenses, findings indicate that while generative AI
expanded planning possibilities, the richness of tasks depended on teacher enactment rather than AI output. Teachers with deeper mathematical knowledge for teaching crafted more intentional prompts, critically evaluated outputs, and adapted tasks responsively, positioning professional knowledge as decisive in whether AI-supported task design enhances or constrains meaningful mathematical learning.
| Original language | English |
|---|---|
| Title of host publication | Beyond Boundaries: Strengthening Futures in Mathematics Education: Proceedings of the 48th Annual Conference of the Mathematics Education Research Group of Australasia, 6-10 July, 2025, Parramatta, NSW |
| Editors | Nathan Berger, Matt Thompson, John Ley, Cristi Wilsmore |
| Place of Publication | Adelaide, S.A. |
| Publisher | Mathematics Education Research Group of Australasia |
| Pages | 42-49 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781920846374 |
| Publication status | Published - 2026 |
| Event | Mathematics Education Research Group of Australasia. Conference - Parramatta, Australia Duration: 6 Jul 2025 → 10 Jul 2025 Conference number: 48th |
Conference
| Conference | Mathematics Education Research Group of Australasia. Conference |
|---|---|
| Abbreviated title | MERGA |
| Country/Territory | Australia |
| City | Parramatta |
| Period | 6/07/25 → 10/07/25 |
Keywords
- Generative AI
- mathematics (primary)
- Mathematics Rich Tasks
- GenAI
- Artificial intelligence (AI)
Fingerprint
Dive into the research topics of 'The planning and implementation of AI-generated rich tasks in primary mathematics classrooms'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver