Student-Designed Educational Resources for Lean: Exploring ChatGPT and Retrieval-Augmented Generation

Artigo2026

Barrie Cooper; Taro Fujita; Gihan Marasingha; Athina Thoma

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Resumo

Recent technological developments are rapidly changing the teaching and learning of mathematics. Among such tools, we focus on Lean and ChatGPT, an area which remains under-researched in mathematics education. The aim of this study is to explore university students' experience and views of creating educational resources using Lean and ChatGPT. Drawing on the framework of documentation work, we analyse the resources created by four undergraduate and one postgraduate student, who had previously used Lean and were invited to design materials to support future students learning Lean. Through an analysis of their customised ChatGPT tools using Retrieval-Augmented Generation, educational resources, and interview data, we show how students retrospectively described developing a more critical stance towards Lean and ChatGPT through their design work. Our findings highlight the diversity of documentation work with ChatGPT, shedding light on the complexities of integrating AI into mathematics education.

Dados da obra

Tipo: Artigo
Periódico: ZDM: Mathematics Education
Ano: 2026
Idioma: en
Palavras-chave: Artificial Intelligence; Technology Uses in Education; College Students; Educational Resources; Material Development; Student Experience; Mathematics Education; Technology Integration
ISSN: 1863-9690
Acesso: Metadados apenas
Fontes: ERIC — Education Resources Information Center
Na Biblioteca desde: 01/11/2026 · verificada em 01/11/2026

Como citar

ABNT
COOPER, Barrie et al.. Student-Designed Educational Resources for Lean: Exploring ChatGPT and Retrieval-Augmented Generation. ZDM: Mathematics Education, 2026. Disponível em: http://dx.doi.org/10.1007/s11858-026-01808-1. Acesso em: 5 nov. 2026.

APA

Cooper, B., Fujita, T., Marasingha, G., & Thoma, A. (2026). Student-Designed Educational Resources for Lean: Exploring ChatGPT and Retrieval-Augmented Generation. ZDM: Mathematics Education. http://dx.doi.org/10.1007/s11858-026-01808-1

BibTeX

@article{cooper2026,
  author = {Cooper, Barrie and Fujita, Taro and Marasingha, Gihan and Thoma, Athina},
  title = {Student-Designed Educational Resources for Lean: Exploring ChatGPT and Retrieval-Augmented Generation},
  year = {2026},
  journal = {ZDM: Mathematics Education},
  url = {http://dx.doi.org/10.1007/s11858-026-01808-1},
  language = {en}
}

RIS

TY  - JOUR
AU  - Cooper, Barrie
AU  - Fujita, Taro
AU  - Marasingha, Gihan
AU  - Thoma, Athina
TI  - Student-Designed Educational Resources for Lean: Exploring ChatGPT and Retrieval-Augmented Generation
PY  - 2026
JO  - ZDM: Mathematics Education
UR  - http://dx.doi.org/10.1007/s11858-026-01808-1
LA  - en
ER  -

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