Abstract
The aim of this study is to explore the stochastic knowledge demonstrated by pre-service mathematics teachers in their development of a statistical project based on the investigative cycle, from the perspective of the mathematics teacher’s specialized knowledge (MTSK) model. The participants were 16 pre-service mathematics teachers selected through non-probability sampling. These participants completed a statistical project aligned with an experimental design to study the effect of light on the growth of bean seedlings. Following a qualitative methodology, content analysis was used to identify the predominant ideas that emerged across the different phases of the experiment. The findings indicate that, while participants carry out all phases of the research cycle, they exhibit limited interpretive skills, revealing weaknesses in the development of competencies associated with statistical thinking. These findings suggest limited development of the disciplinary knowledge required to effectively support the teaching and learning of statistics in school settings.
License
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Research Article
EURASIA J Math Sci Tech Ed, Volume 22, Issue 12, December 2026, Article No: em2965
https://doi.org/10.29333/ejmste/19951
Publication date: 14 Nov 2026
Article Views: 5
Article Downloads: 3
Open Access References How to cite this article
Full Text (PDF)