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Elementary School Students' and Teachers' Perceptions Towards Creative Mathematical Writing with Generative AI

arXiv 2409.06723 ↗First posted 26 Aug 2024cs.CY cs.AIcited by 0

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Abstract (arXiv)

While mathematical creative writing can potentially engage students in expressing mathematical ideas in an imaginative way, some elementary school-age students struggle in this process. Generative AI (GenAI) offers possibilities for supporting creative writing activities, such as providing story generation. However, the design of GenAI-powered learning technologies requires careful consideration of the technology reception in the actual classrooms. This study explores students' and teachers' perceptions of creative mathematical writing with the developed GenAI-powered technology. The study adopted a qualitative thematic analysis of the interviews, triangulated with open-ended survey responses and classroom observation of 79 elementary school students, resulting in six themes and 19 subthemes. This study contributes by investigating the lived experience of GenAI-supported learning and the design considerations for GenAI-powered learning technologies and instructions.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 61 references that are in the map. First posted on arXiv 26 Aug 2024.

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References · 4

  1. 2023Active Prompting with Chain-of-Thought for Large Language Modelscited by 154
  2. 2023Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Educationcited by 41
  3. 2024Generative AI for Visualization: State of the Art and Future Directionscited by 23
  4. 2024Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative Storytellingcited by 21

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