This week's article summary is Applied Math Education Can Make Americans More Numerically Literate, and it’s written by a college science professor who bemoans her students lack of mathematical confidence and reasoning skills.
It’s a follow-up to a recent summary on the importance of math in elementary school.
Her worries extend beyond her classroom: due to math illiteracy, many adults are ignorant about personal finances and blindly believe politicians and others who spout exaggerated statistics without providing any evidence.
She encourages elementary schools to do a better job teaching math, including real-life applications so kids can see the connections between math and real-life.
As mentioned in the earlier summary, Trinity is in the vanguard of enhanced math instruction in elementary school. Over the past number of years, we’ve all seen our students and teachers gain much more confidence and comfort in math.
Joe
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As American elementary schoolchildren head back to school, one subject just might be the most dreaded of all—mathematics.
A distaste for arithmetic, calculations, and numbers in general starts young in America, where it's socially acceptable to claim to "hate math" or simply "be bad with numbers."
By the time U.S. students hit middle school, our educational system has already failed them. American 15-year-olds score far below their peers from other countries in mathematical literacy.
I will meet many of these students a few years later in my college classroom, where they will react with dismay at encountering calculus-based modeling in biology class, a subject which, in their prior experience, was virtually a math-free zone. While math is a key tool of modern biology—allowing us to predict how diseases spread or calculate the sustainability of our food supply—it's usually avoided in introductory classes, where it's viewed as "too complicated.”
The American educational system is failing to prepare its citizens to face mathematical challenges with confidence.
This "math anxiety" has serious social and political consequences.
In personal finance, Americans typically struggle to scale expenditures with income.
More dangerously, innumerate people may become data-avoidant, assessing risk and quality of arguments based on "gut feelings" rather than numerical facts.
In contrast, math and statistics classes provide us with the logic frameworks we need to assess risk and link the magnitudes of cause and effect, making us better decision makers. There's still a role for experts and pundits, who help us make sense of a complex world. But as an American voting public, we should strive for better mathematical reasoning skills to supplement these expert analyses.
Educators have shown that it's possible to build strong math skills from Day 1 by investing more time on mathematical reasoning in our elementary school classrooms.
And for those who remember math as boring or recall struggling to learn something wholly disconnected from daily life, there's a solution—applied math, which grounds math concepts in real-world examples.
These examples can start early. When our research team visits second-grade classrooms, we use "helpful" and "harmful" relationships between animals and humans to introduce number lines with positive and negative values.
Similarly, elementary school educators have shown time and again that music lessons improve student math scores by introducing students to this note-based arithmetic. The same concepts apply for little girls curious about engineering and little boys helping parents measure ingredients in the kitchen.
Even after we've left the classroom, let's challenge ourselves to stop flinching away from numbers or blindly trusting (or mistrusting) those reciting them. When hearing a number or statistic, let's adopt a "stop and study" approach, asking what's being argued, by whom, using what rationale.
Mathematical reasoning gives us a core, common set of facts that we can interpret together. By building math skills—in the classroom and in adulthood—we can be part of an American public that prides itself in mathematical exceptionalism, not mathematical avoidance.