The tasty world of irrational numbers - explorative mathematical visualizations generated by AI image models
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
In this paper, images containing mathematical ideas that were generated by different image-generating AI models (DALL-E 2, Leonardo.Ai, and Midjourney) are comparatively interpreted from a mathematics aesthetical perspective. Our exploratory study aimed to scrutinize how AI image models visualize abstract mathematical ideas and whether this imagination holds any potential for use in the context of learning mathematics. Two different mathematics-containing prompts, representing different aspects of mathematics, were used as input. Our results show that based on our examples, currently, Midjourney generates the most detailed outcome that can be used as an initial point for discussing mathematical ideas with students in the classroom.
Details
Original language | English |
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Pages (from-to) | 272-289 |
Number of pages | 18 |
Journal | Journal of Mathematics and the Arts |
Volume | 18 |
Issue number | 3-4 |
Publication status | E-pub ahead of print - 26 Sept 2024 |
Peer-reviewed | Yes |
External IDs
Scopus | 85205057993 |
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ORCID | /0000-0002-9898-8322/work/171554077 |
Keywords
Keywords
- Artificial intelligence, Generic proof, Geometric series, Mathematics education, image-generating AI