Recruiting spatial-numerical representations to enhance the use of advanced math strategies in low-income students

Recruiting Spatial-numerical Representations to Enhance the Use of Advanced Math Strategies in Low-Income Students

Project Summary

The project explores the effects of spatial representations of number magnitude on children's learning of advanced arithmetic strategies, a key predictor of math achievement. A series of studies will utilize a pretest/posttest experimental design, with students randomly assigned to training conditions that differ based on the kinds of materials used for teaching and practicing arithmetic. The project is expected to contribute to a theoretical understanding of the relation between the domains of number and space, as well as provide a scientific basis for determining whether and how to integrate spatial information into future math interventions.

Measurement & Metrics

Three sets of outcomes will be examined: (1) Arithmetic knowledge: fluency and problem solving strategy; (2) Numerical magnitude knowledge; and (3) Standardized measure of mathematic achievement.

Partnerships

Research conducted in partnership with the Worcester and Somerville Public Schools.

Facts & Figures

554

Approximately 554 first graders were recruited from urban public schools serving low-income children.

Research Team

Beth Casey, Professor Emeritus

Project Timeline

July 2019–June 2024