Using words like ‘factors,’ ‘denominators’ and ‘multiples’ may be part of a constellation of good math teaching practices ...

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

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Abstract: Taking several topic words and a math expression as input, the aim of math word problem generation is to generate a problem that can be answered by the given expression and related to these ...

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 ...

I will never forget this one day when Kevin was a preschooler. We had an IEP meeting, and one of his proposed math IEP goals was to be able to visualize and identify what 2 of something looks like or ...

We explore the ability of large language models (LMs) in generating sequential questions for guiding math word problem-solving. We propose various guided question generation schemes based on input ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...

Duke researchers unveil WISE, a breakthrough in edge AI using radio waves to transmit AI models, enhancing efficiency and ...

Jan. 9, 2026 Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for ...

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