Beyond linearity: Using IRT‐scaled level models to describe the relation between prior proportional reasoning skills and fraction learning outcomes

GND
1225368294
ORCID
0000-0001-9345-5976
Zugehörigkeit
Department of Education, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena
Schadl, Constanze;
ORCID
0000-0002-3187-3459
Zugehörigkeit
Department of Mathematics LMU Munich Munich Germany
Ufer, Stefan

Previous research on the role of prior skills like proportional reasoning skills for the development of mathematical concepts offers conclusions such as “more (prior skills) is better (for later learning).” Insights, which prior skill level goes along with which level of learning outcomes, may advance the understanding of the development of mathematical concepts. An exploratory approach is presented based on level models to describe the relation between symbolic proportional reasoning skills and fraction outcomes beyond linearity. Analyses draw on samples of German fourth to sixth graders from a scaling (2017, N  = 325, 54.8% female) and longitudinal study (2018/2019, N  = 436, 42.7% female). Particularly mastering natural and internal rational ratios in proportional reasoning seems relevant for successful fraction learning.

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