Academic Numeracies Framework in the GenAI Era
Presentation
Paper/Presentation Title | Academic Numeracies Framework in the GenAI Era |
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Presentation Type | Presentation |
Authors | Howarth, Debi, Salmeron, Raquel and Galligan, Linda |
Number of Pages | 11 |
Year | 2024 |
Place of Publication | Australia |
Conference/Event | 2024 Learning and Teaching Symposium |
Event Details | 2024 Learning and Teaching Symposium Delivery Online Event Date 18 to end of 18 Oct 2024 Event Location Online Event Venue Torrens University Australia |
Abstract | The Academic Numeracies Framework (ANF) systematically embeds numeracy competencies into tertiary courses and learning development initiatives. Using action research and mixed-methods analysis, the ANF is being refined through focus-group feedback and trialed in a commencing course. In the GenAI era, students must use and apply key numeracy competencies through appropriate use of GenAI, and across disciplines (Steele et al, 2008). Karaali (2023) suggests ChatGPT can make mistakes in “quantitatively rich contexts”, even with basic problems. It is, therefore, critical that students engage with numeracy competencies that equip them to recognise errors. The ANF competency use of mathematical tools can naturally incorporate AI-fluency concepts (Yee et al. 2023). All other ANF competencies (communication, mathematising, mathematical representation, reasoning and judgment, devising problem-solving strategies, and using symbolic language and operations) can seamlessly include effective and meaningful interactions with GenAI. That is, effectively interacting with AI in mathematics involves formulating problems using precise prompts, applying technical language, ensuring sound methods, interpreting responses, and evaluating the reasonableness of AI-generated solutions. Focussing on academic numeracy (Brady 2016) competencies may support a transition from assessing knowledge via artefacts to assessing the learning process itself. This change is critical in the AI-enabled era, where the production of artefacts is not an effective indicator of learning. |
Keywords | Academic Numeracy; Artificial Intelligence |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 390109. Mathematics and numeracy curriculum and pedagogy |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Torrens University |
University of Southern Queensland |
https://research.usq.edu.au/item/z9yz4/academic-numeracies-framework-in-the-genai-era
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