The activity of Snhg11, a gene found in the 'dark matter' of the genome, is critical for the function and formation of neurons in the hippocampus, specifically in an area critical for learning and ...

Introducing new math concepts via already-worked examples can give students a significant boost in learning. But choosing the right problems makes a big difference. An analysis earlier this year of ...

The Program for International Student Assessment showed that 2012 math literacy data of 15-year[1]old students in 21 countries have higher averages than U.S. students. National Inventors Hall of Fame ...

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...

NEW YORK (Reuters Health) - Infants who are given general anesthesia more than once are twice as likely to have learning disabilities later on than children never exposed to the drugs, a new study ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Students often struggle to connect math with the real world. Word problems—a combination of words, numbers, and mathematical operations—can be a perfect vehicle to take abstract numbers off the page.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Parenting is a challenging endeavor in the most ideal of circumstances, but parenting children with learning problems, disruptive behaviors, social skills deficits, or emotional disturbance can tax ...