Analogies in Mathematics

When teachers draw on children’s prior knowledge during a new lesson, it’s like making an analogy across new and old concepts. One primary goal of my research is to explore the consequences of analogies in instruction.

Which Analogies?

What are the consequences of making analogies between prior knowledge that might help or hinder new fraction division concepts either explicitly or implicitly? We found that implicitly linking to a conceptually-similar domain (whole number division) was better for new learning than linking to perceptually-similar domains (fraction addition and subtraction) or explicitly linking to whole number division without providing support for the link.

Sidney, P.G. & Alibali, M.W. (2015). Making connections in math: Activating a prior knowledge analogue matters for learning. Journal of Cognition and Development, 16(1) 160-185. DOI:10.1080/15248372.2013.79209.

Setting up “Implicit” Analogies

To further explore the boundaries of implicit analogies in understanding fraction division concepts, I examined children’s understanding of fraction division concepts after merely activating their knowledge of relevant whole number division concepts in contrast to activating their knowledge of fraction multiplication. In this study, we found that children whose whole number division concepts were very recently activated were better at modeling what it means to divide by a fraction.

Sidney, P. G., & Alibali, M. W. (2017). Creating a context for learning: Activating children’s whole number knowledge prepares them to understand fraction division. Journal of Numerical Cognition, 3(1), 31-57. DOI: 10.5964/jnc.v3i1.71

In my dissertation work, I compared an implicit instructional analogy between whole number and fraction division to a highly-cued, explicit instructional analogy (or no analogy at all). We measured a variety of learning outcomes to determine whether implicit analogies to children’s prior knowledge may have different consequences for learning than explicit analogies. This paper is under review!