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Evaluating the Statistics Courses in Terms of the Statistical Literacy: Didactic Pathways of Pre-Service Mathematics Teachers
Evaluating the Statistics Courses in Terms of the Statistical Literacy: Didactic Pathways of Pre-Service Mathematics Teachers
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Evaluating the Statistics Courses in Terms of the Statistical Literacy: Didactic Pathways of Pre-Service Mathematics Teachers
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Evaluating the Statistics Courses in Terms of the Statistical Literacy: Didactic Pathways of Pre-Service Mathematics Teachers
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Evaluating the Statistics Courses in Terms of the Statistical Literacy: Didactic Pathways of Pre-Service Mathematics Teachers
Evaluating the Statistics Courses in Terms of the Statistical Literacy: Didactic Pathways of Pre-Service Mathematics Teachers
Journal Article

Evaluating the Statistics Courses in Terms of the Statistical Literacy: Didactic Pathways of Pre-Service Mathematics Teachers

2021
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Overview
This study intends to determine the statistical literacy levels of pre-service mathematics teachers and to evaluate the contribution of the statistics courses in the elementary mathematics education curriculum to statistical literacy. A mixed methods research design was adopted. The study group consisted of 202 pre-service mathematics teachers enrolled in the Statistics and Probability course. In the data collection process, a pre-test and post-test was administered to determine the pre-service teachers’ statistical literacy before and after the statistical course, and classroom observations were performed to identify the contribution of the statistics course to statistical literacy. The Rasch model was used for validity-reliability analyses, and one-way ANOVA tests were used to analyze the quantitative data. Content analysis was utilized in the analysis of qualitative data, which revealed that statistical literacy levels of pre-service teachers are generally low, generally influencing the competence of pre-service teachers. The pre-service teachers failed in the sample selection component in the pre-test and data interpretation in the post-test, while they were more successful with table and graphs in the pre-test and sample selection in the post-test. The comparative analysis of revealed statistically significant differences in favor of U4 in the pre-test, but in favor of U1 in the post-test. It was concluded that practices included in the statistics lessons could be effective on these differences.