Abstract: Solving mathematical (math) word problems (MWP) automatically is a challenging research problem in natural language processing, machine learning, and education (learning) technology domains, ...

Abstract: We introduce an approach that automatically learns to solve algebra word problems. Our algorithm, a pioneering result for this task, reasons across sentence boundaries. It constructs and ...

It is a persistent challenge to meet the academic needs of students with emotional and behavioral disorders (EBD) particularly in the area of math word problems. This study used a multiple-baseline ...

Practical word problems are often considered one of the most complex parts of elementary school mathematics. They require students to understand the context of a math problem, identify what the ...

English Language Learners (ELLs) at risk for math disabilities (MD) are challenged in solving word problems for numerous reasons such as (a) learning English as a second language, (b) limited ...

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MathBot is a transformer-based Math Word Problem (MWP) solver made as the Lab project for CSE 4622: Machine Learning Lab.

Mathematics has always posed a significant challenge for AI models. Mastering math requires complex reasoning skills, and for AI, this task is anything but straightforward. That creates a huge problem ...

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.

Driven by new technology called OpenAI o1, the chatbot can test various strategies and try to identify mistakes as it tackles complex tasks. By Cade Metz Reporting from San Francisco Online chatbots ...

Math word problems can be tricky because they involve more than just numbers. You need to read and understand the problem, figure out what math operation to use, and solve it. This can be overwhelming ...