Enhancing Secondary Students’ Understanding of Descriptive Statistics Using Contextual and Socio-critical Modeling: The Case of West Shewa Zone, Ethiopia

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2015-07

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Addis Ababa University

Abstract

The issue that this study addresses is the need for secondary students to work on relevant non-routine statistical problems to enhance their understanding of descriptive statistics. The purpose of this study is to explain how secondary students can enhance their understanding of descriptive statistics using Modeling Approach and to compare the amount of learning achieved using Modeling and Non-modeling Instructional Approaches. The Modeling Approach integrated the Contextual and Socio-critical Modeling Perspectives to teach a unit of descriptive statistics in secondary mathematics curriculum. The leading research question set forth is, to what extent and how do high school students enhance their understanding of descriptive statistics using a Modeling Approach? This transformative embedded mixed method study looked into three facets of students’ understanding of descriptive statistics: procedural, conceptual and critical. The study was conducted at two high schools in urban district in West Shewa Zone, Ethiopia. For comparisons, four Grade Nine sections with a total of 163 students were selected by purposive sampling technique. An instrument called Teaching for Robust Understanding in Mathematics (TRU Math) was used for observing Model-eliciting Activities (MEAs) to capture the Modeling Approach classroom practice (Schoenfeld, 2013). Quality Assurance Guide instrument was used to assess students’ models on MEAs (Lesh et al., iv 2000). Standard questions were used for achievement tests on procedural and conceptual understanding of descriptive statistics. An attitude survey instrument was administered to see students’ change of attitude towards statistics using Modeling Approach. Teams of students did projects on their own themes for six weeks. The quantitative data of the study was analyzed using descriptive statistics, t-tests and ANOVA. The qualitative data of the study was analyzed using thematic and content analyses. A statistically significant difference was found on conceptual understanding achievement test with medium effect size using Modeling Approach, but no statistical significant difference was found on procedural understanding achievement test except female comparison. Significant statistical effects were observed for attitude scale and subscales. Students enhanced their critical understanding of descriptive statistics doing projects through data modeling. The findings of this study suggested students more likely enhanced their understanding of descriptive statistics using Modeling Approach

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Enhancing Secondary Students, Understanding of Descriptive Statistics Using Contextual

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