Mathematics be a tricky subject, and many students struggle to get the hang of it, finding it difficult to solve problems and equations in class. It requires a special sort of attention that one can’t ...

EdSource · How a California professor once coded secrets in music (rebroadcast) A report about declining math preparation at UC San Diego has been generating hysterical headlines in national news ...

Kids in elementary school learn—or are supposed to learn—how to add fractions and round numbers. But many students at the University of California, San Diego—a top public university ranked sixth ...

Remember when the University of California kicked off a trend by eliminating the SAT test as an admissions requirement five years ago? Now arrives the dispiriting result: Many freshmen at one of its ...

Across the country, educators continue to wrestle with big questions about math curricula. Two years ago, the California education board’s adoption of a long-gestating new math framework added more ...

For the past several years, America has been using its young people as lab rats in a sweeping, if not exactly thought-out, education experiment. Schools across the country have been lowering standards ...

Math scores in the US have been so bad for so long that teachers could be forgiven for trying anything to improve them. Unfortunately, many of the strategies they’re using could be making things worse ...

Across the country this fall, millions of college students are walking into math classrooms worried about their future — perhaps with good reason. For decades, mathematics — particularly college ...

The Senate this week passed a bill to fix IRS math error notices for filers who make simple mistakes on their tax returns. The Internal Revenue Service Math and ...

This is read by an automated voice. Please report any issues or inconsistencies here. American students are experiencing a math crisis marked by a decline in scores that began over a decade ago and ...

Abstract: Neural networks (NNs) are pivotal in enhancing data processing tasks such as classification, generation, and restoration. A crucial consideration in these applications is the signal-to-noise ...