Learning correlation and regression within authentic contexts
FI Scientific Library, nr. 79. Dierdorp, A. (2013)
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https://www.fisme.science.uu.nl/publicaties/literatuur/2013_thesis_dierdorp.pdf

Abstract

One of the key challenges in mathematics and science education in secondary schools is to establish coherence between these school subjects. According to this PhD thesis statistical modelling can be a way to let students experience the connections between mathematics and science. The purpose of this design-based research was to gain insight into how to support upper-secondary school students’ learning and understanding of correlation and regression models. The main research question was: What are characteristics of a valid and effective teaching and learning strategy to teach students about correlation and regression in such a way that they experience coherence between mathematics and the natural sciences? The design principle was to base the instructional activities on authentic problems in professional practices. We tested the evolving teaching and learning strategy in four studies. After a broad focus on statistical reasoning, the thesis zooms in on several specific concepts required: in particular measurement and sampling are considered important interfaces between mathematics and science. Last, the thesis zooms out and focuses more broadly on the coherence between mathematics, statistics, science and professional practices.




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