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Using large language models to support pre-service teachers mathematical reasoning—an exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry

Artigo2024

Frederik Dilling; Marc Herrmann

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Resumo

In this exploratory study, the potential of large language models (LLMs), specifically ChatGPT to support pre-service primary education mathematics teachers in constructing mathematical proofs in geometry is investigated. Utilizing the theoretical framework of instrumental genesis, the prior experiences of students with LLMs, their beliefs about the operating principle and their interactions with the chatbot are analyzed. Using qualitative content analysis, inductive categories for these aspects are formed. Results indicate that students had limited prior experiences with LLMs and used them predominantly for applications that are not mathematics specific. Regarding their beliefs, most show only superficial knowledge about the technology and misconceptions are common. The analysis of interactions showed multiple types of in parts mathematics-specific prompts and patterns on three different levels from single prompts to whole chat interactions.

Dados da obra

Tipo
Artigo
Periódico
Frontiers in Artificial Intelligence, v. 7
Editora
Frontiers Media S.A.
Ano
2024 (2024-10)
Idioma
en
Palavras-chave
ChatGPT; mathematics education; mathematical proofs; teacher education; generative AI; large language model
Temas
Formação de Professores de Matemática, Geometria
DOI
10.3389/frai.2024.1460337
ISSN
2624-8212
Acesso
Acesso aberto
Fontes
DOAJ — Directory of Open Access Journals
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
DILLING, Frederik; HERRMANN, Marc. Using large language models to support pre-service teachers mathematical reasoning—an exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry. Frontiers in Artificial Intelligence, v. 7, 2024. DOI: https://doi.org/10.3389/frai.2024.1460337.

APA

Dilling, F., & Herrmann, M. (2024). Using large language models to support pre-service teachers mathematical reasoning—an exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1460337

BibTeX
@article{dilling2024,
  author = {Dilling, Frederik and Herrmann, Marc},
  title = {Using large language models to support pre-service teachers mathematical reasoning—an exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry},
  year = {2024},
  journal = {Frontiers in Artificial Intelligence},
  volume = {7},
  publisher = {Frontiers Media S.A.},
  doi = {10.3389/frai.2024.1460337},
  language = {en}
}
RIS
TY  - JOUR
AU  - Dilling, Frederik
AU  - Herrmann, Marc
TI  - Using large language models to support pre-service teachers mathematical reasoning—an exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry
PY  - 2024
JO  - Frontiers in Artificial Intelligence
VL  - 7
DO  - 10.3389/frai.2024.1460337
LA  - en
ER  -

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS

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