ChatGPT-Assisted Data Analysis in Mathematics Education Research (CADAMER): A Scoping Review in the Post-Modern Scholarly Milieu

Artigo2025

Jay Fie Paler Luzano

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Resumo

This study investigated the role of ChatGPT-assisted data analysis in mathematics education research within the post-modern scholarly milieu using a scoping review approach. This examined how ChatGPT contributes to ethical, reliable, rigorous, and context-sensitive data analysis in mathematics education research. The findings reveal five (5) emergent themes that define ChatGPT's role in this domain: (1) ChatGPT for Quantitative Analysis; (2) ChatGPT for Qualitative Coding; (3) ChatGPT and Research Ethics; (4) ChatGPT in Literature Reviews; and (5) ChatGPT on the Future of Research. Based on the findings, the study extracted the ChatGPT-Assisted Data Analysis in Mathematics Education Research (CADAMER) model, positioning ChatGPT as a versatile research assistant that enhances analytical efficiency while upholding scholarly rigor. Although ChatGPT streamlines data analysis, human oversight and ethical safeguards remain crucial to ensuring accuracy and academic integrity. The integration of ChatGPT with expert validation strengthens the rigor, ethics, and reliability of mathematics education research.

Dados da obra

Tipo
Artigo
Periódico
International Journal of Technology in Education
Ano
2025
Idioma
en
Palavras-chave
Artificial Intelligence; Mathematics Education; Educational Research; Data Analysis; Statistical Analysis; Qualitative Research; Ethics; Literature Reviews; Futures (of Society); Models
Acesso
Download disponível
Fontes
ERIC — Education Resources Information Center
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
LUZANO, Jay Fie Paler. ChatGPT-Assisted Data Analysis in Mathematics Education Research (CADAMER): A Scoping Review in the Post-Modern Scholarly Milieu. International Journal of Technology in Education, 2025. Disponível em: https://eric.ed.gov/?id=EJ1472825. Acesso em: 5 nov. 2026.

APA

Luzano, J. F. P. (2025). ChatGPT-Assisted Data Analysis in Mathematics Education Research (CADAMER): A Scoping Review in the Post-Modern Scholarly Milieu. International Journal of Technology in Education. https://eric.ed.gov/?id=EJ1472825

BibTeX
@article{luzano2025,
  author = {Luzano, Jay Fie Paler},
  title = {ChatGPT-Assisted Data Analysis in Mathematics Education Research (CADAMER): A Scoping Review in the Post-Modern Scholarly Milieu},
  year = {2025},
  journal = {International Journal of Technology in Education},
  url = {https://eric.ed.gov/?id=EJ1472825},
  language = {en}
}
RIS
TY  - JOUR
AU  - Luzano, Jay Fie Paler
TI  - ChatGPT-Assisted Data Analysis in Mathematics Education Research (CADAMER): A Scoping Review in the Post-Modern Scholarly Milieu
PY  - 2025
JO  - International Journal of Technology in Education
UR  - https://eric.ed.gov/?id=EJ1472825
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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