Publication
IUI 2017
Conference paper

VisualMath: An automated visualization system for understanding math word-problems

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Abstract

Math word problems are difficult for students to start with since they involve understanding the problem's context and abstracting out its underlying mathematical operations. A visual understanding of the problem at hand can be very useful for the comprehension of the problem. We present a system VisualMath that uses machine learning tools and crafted visual logic to automatically generate appropriate visualizations from the text of the word-problems and solve it. We demonstrate the improvements in the understanding of math word-problems by conducting a user study and learning of meaning of relevant new words by students. Copyright is held by the owner/author(s).

Date

Publication

IUI 2017

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