Math anxiety grows from stress, culture, and experience, not ability. By changing how we teach, test, and talk about math, we ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

Dara-Abasi Ita writes about trading and investing for Investopedia and Investing.com, and he is an editor at Lawverse magazine. He has written about financial topics, including private equity, asset ...

Matt Webber is an experienced personal finance writer, researcher, and editor. He has published widely on personal finance, marketing, and the impact of technology on contemporary arts and culture.

(THE CONVERSATION) Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to solve basic math problems – such as lining up numbers to ...

I don’t typically write responses to other opinion pieces, but there was one two weeks ago about new techniques in elementary math education that has inspired me. The main complaint was that there are ...

Four years ago, I was given a fantastic opportunity to be a math coach for a primary years program. But when I started, there was no framework to work within, no script to follow. I was starting from ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Artificial intelligence is advancing across a wide range of fields, with one of the most important developments being its growing capacity for reasoning. This capability could help AI becomes a ...