Assessing the attitudes of pre-service primary mathematics teachers towards statistics and gender influence
Abstract
The aim of this research is to assess the attitudes exhibited by pre-service primary mathematics educators towards statistics, while concurrently investigating the influence of gender on these attitudes. The research methodology employed in this study involved the adaptation of the Survey of Attitudes toward Statistics (SATS-36) to pre-service teachers from Teacher Training Colleges (TTCs) in Rwanda. The study participants are 355 pre-service teachers from7 randomly selected TTCs. Since the Confirmatory factor analysis (CFA) was undertaken to ascertain the model fit yielded suboptimal indices concerning both the reliability and validity of the data, an exploratory factor analysis (EFA) was conducted, leading to the validation of a novel model comprising 25 items distributed across four distinct factors. The subsequent phase of the investigation involved the evaluation of pre-service teachers’ attitudes towards statistics, with a specific emphasis on discerning the impact of gender using the refined four-factor model. The findings of the study provide empirical evidence indicating that pre-service teachers tend to exhibit positive attitudes towards statistics, while concurrently highlighting the statistically significant influence of gender on these attitudes. In light of these outcomes, the researchers proffer recommendations suggesting that educators should prioritize efforts aimed at cultivating favorable attitudes towards statistics among pre-service teachers, thereby fostering an enriched and more productive learning milieu for students. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Author(s)
Dushimimana, Jean Claude, Urwibutso, Amina, Uworwabayeho, Alphonse
Year
2024
Countries
Language
English
Research Method
Quantitative
Article Type
Peer-Reviewed Articles
Keywords
Primary education | Teacher education | Teacher capacity | Mathematics education | Excel Import
Full Citation Style
Research Team
Dushimimana, Jean Claude
Urwibutso, Amina
Uworwabayeho, Alphonse
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