Quantitative literacy, the ability to interpret numerical data in the context of everyday life, is increasingly important, says Bernard L. Madison, a professor of mathematics at the University of ...

The relationship of spatial and mathematical skills has been the subject of both speculation and empirical investigation. A meta-analysis of correlations of spatial and mathematical skills has found ...

This study examines the degree to which cognitive and affective aspects of mathematics learning shape adolescents’ interest and achievement in mathematics. It specifically investigates age-related ...

Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...