mlsanityData to 7 Oct 2026

Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative Storytelling

arXiv 2402.01927 ↗First posted 2 Feb 2024cs.HCcited by 21

Not on the map. Why?

Abstract (arXiv)

Mathematical language is a cornerstone of a child's mathematical development, and children can effectively acquire this language through storytelling with a knowledgeable and engaging partner. In this study, we leverage the recent advances in large language models to conduct free-form, creative conversations with children. Consequently, we developed Mathemyths, a joint storytelling agent that takes turns co-creating stories with children while integrating mathematical terms into the evolving narrative. This paper details our development process, illustrating how prompt-engineering can optimize LLMs for educational contexts. Through a user study involving 35 children aged 4-8 years, our results suggest that when children interacted with Mathemyths, their learning of mathematical language was comparable to those who co-created stories with a human partner. However, we observed differences in how children engaged with co-creation partners of different natures. Overall, we believe that LLM applications, like Mathemyths, offer children a unique conversational experience pertaining to focused learning objectives.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Feb 2024.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 7; 2025: 10; 2026: 4.

21 papers.

Sort:

By area:

  1. 2024MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Educationcited by 35
  2. 2024MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactionscited by 26
  3. 2024PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative Learningcited by 18
  4. 2025Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Reviewcited by 16
  5. 2025Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulationcited by 15
  6. 2025Biased Tales: Cultural and Topic Bias in Generating Children's Storiescited by 15
  7. 2024GPT for Games: An Updated Scoping Review (2020-2024)cited by 10
  8. 2024Benchmarking LLMs for Mimicking Child-Caregiver Language in Interactioncited by 5
  9. 2025Bridging the AI Adoption Gap: Designing an Interactive Pedagogical Agent for Higher Education Instructorscited by 4
  10. 2025An LLM-enabled Multi-Agent Autonomous Mechatronics Design Frameworkcited by 4
  11. 2025ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanationscited by 4
  12. 2026Narrix: Remixing Narrative Strategies from Examples for Story Writingcited by 4
9 more
  1. 2024Social Life Simulation for Non-Cognitive Skills Learningcited by 3
  2. 2025DinoCompanion: An Attachment-Theory Informed Multimodal Robot for Emotionally Responsive Child-AI Interactioncited by 1
  3. 2024Elementary School Students' and Teachers' Perceptions Towards Creative Mathematical Writing with Generative AIcited by 0
  4. 2025Once Upon an AI: Six Scaffolds for Child-AI Interaction Design, Inspired by Disneycited by 0
  5. 2025Empowering Children to Create AI-Enabled Augmented Reality Experiencescited by 0
  6. 2025RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activitiescited by 0
  7. 2026A Privacy by Design Framework for Large Language Model-Based Applications for Childrencited by 0
  8. 2026ELLA: Generative AI-Powered Social Robots for Early Language Development at Homecited by 0
  9. 2026BotDirector: Robot Storytelling Across the Symmetrical Reality with Multi-modal Interactionscited by 0