Sentence examples for Mathematical proficiency from inspiring English sources

The proposed definition of academic literacy in mathematics includes three integrated components: mathematical proficiency, mathematical practices, and mathematical discourse.

Although numerical skills have proven to be important precursors for mathematical proficiency, longitudinal studies on numerical development are rather scarce.

According to the report, the number of 17-year-olds who showed advanced mathematical proficiency on the National Assessment of Educational Progress test increased to 60percentt in 1996 from 49percentt in 1982.

The OECD survey found that one in four Spaniards between 16 and 65 scored the lowest levels of literacy, and one in three the lowest levels of mathematical proficiency.

One in four of the country's 15-year-olds failed to reach PISA's baseline Level 2 of mathematical proficiency (the level at which pupils begin to demonstrate skills needed to participate in the workforce).

In this work, deformation-based morphometry (DBM) analyses have been performed on magnetic resonance images of the brains of 79 third graders to investigate whether there is a correlation between brain morphological features and mathematical proficiency.

To qualify in Mathematics for Economists, students must pass the Mathematics Proficiency Examination given at the beginning of the first year of graduate study or achieve a grade of at least B- in Intermediate Mathematical Economics I (Econ 6170).

If the questions on a test measure little more than the ability to apply an algorithm mindlessly, then you can't use the results of that test to make pronouncements about this kid's (or this school's, or this state's, or this country's) proficiency at mathematical thinking.

Prior to joining the UChicago Consortium, he helped to develop an assessment system that pre-kindergarten teachers used to measure their students' proficiencies in mathematical and literacy skills through play, and improve them.

The program requires proficiency in understanding mathematical statistics and probability as they apply to collection management and analytic estimations.

Develop proficiency in using mathematical tools and formalism to solve well-defined engineering problems in colloid and interfacial science.