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The planning and implementation of AI-generated rich tasks in primary mathematics classrooms

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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.
Original languageEnglish
Title of host publicationBeyond 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
EditorsNathan Berger, Matt Thompson, John Ley, Cristi Wilsmore
Place of PublicationAdelaide, S.A.
PublisherMathematics Education Research Group of Australasia
Pages42-49
Number of pages8
ISBN (Electronic)9781920846374
Publication statusPublished - 2026
EventMathematics Education Research Group of Australasia. Conference - Parramatta, Australia
Duration: 6 Jul 2025 → 10 Jul 2025
Conference number: 48th

Conference

ConferenceMathematics Education Research Group of Australasia. Conference
Abbreviated titleMERGA
Country/TerritoryAustralia
CityParramatta
Period6/07/25 → 10/07/25

Keywords

  • Generative AI
  • mathematics (primary)
  • Mathematics Rich Tasks
  • GenAI
  • Artificial intelligence (AI)

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