In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends ...

This same principle applies to education: If students never meet resistance from mistakes, they fail to develop the ...

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 ...

Abstract: Designing algorithms to solve math word problems (MWPs) is an important research topic in natural language processing and smart education domains. The task of solving MWPs involves ...

Filing taxes is never fun-and with all the forms to review and boxes to check, it's easy to miss one or accidentally put down ...

Much of the way math is taught was developed before we had neuroscientific insight into how the brain actually learns.

Children’s math negativity adversely impacts their dedication and successful learning. Here, we’ll suggest interventions to ...

When Steve Angeli went down with a season-ending injury against Clemson, I said that the offense did not need to change, at least not dramatically. The Orange had a deep group of playmakers around ...

Tao had a theoretical analysis but needed concrete numbers to check certain inequalities. At first, he asked the AI to write Python code, but ran into issues with runtime and parameter selection. By ...