Cognitive Framework for Blended Mathematical Sensemaking in Science
Leonora Kaldaras, Carl Wieman

TL;DR
This paper presents a validated cognitive model for blended mathematical sensemaking in science, detailing three levels of engagement and providing a foundation for improved instruction and assessment across disciplines.
Contribution
It introduces the first validated cognitive framework for blended MSS, encompassing three levels and their sub-levels, grounded in empirical assessment data.
Findings
Students perform consistently across disciplines in blended MSS.
The cognitive model is validated through interviews and assessment scenarios.
Blended MSS is a discipline-independent cognitive construct.
Abstract
Blended mathematical sensemaking in science (blended MSS) involves deep conceptual understanding of quantitative relationships describing phenomena in science and has been studies in various disciplines. However, no unified characterization of blended MSS exists. We developed a theoretical cognitive model fro blended MSS grounded in prior work. The model contains three broad levels representing increasingly sophisticated ways of engaging in blended MSS: 1) deriving qualitative relationships among relevant variables describing a phenomenon (qualitative level, 2) deriving mathematical relationships among these variables (quantitative level), 3) explaining how the mathematical operations used in the formula relate to the phenomenon (conceptual levels). Each level contains three sub-levels. We used PhET simulations to design dynamic assessment scenarios in various disciplines to test the…
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Taxonomy
TopicsInnovative Teaching and Learning Methods
