Automatic Learning Guide for Mathematical Word Problem
Mathematical word problems often pose a challenge to most students. This phenomenon is because solving a word problem requires skills in reading and comprehending the text of the problem, identifying the question that needs to be answered, sorting the important information from the distracting information, selecting the mathematical operations to be used and finally creating and solving a numerical equation. Therefore, we proposed MATHMASTER, the system that was designed to help a student practice to understand mathematical word problems and translate the problem into appropriate equation(s). MATHMASTER guides students through step-by-step instructions at their own pace and at a level adapted to help each student toward the solution.
||Mathematical Word Problem, Word Problem Solving, Natural Language Processing
The International Journal of Learning, Volume 17, Issue 11, pp.509-524.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 1.045MB).
PhD Student, Institute for Innovative Learning, Mahidol University, Bangkok, Thailand
At the time of present study, Wanintorn Supap is a Ph.D. candidate of the Institute for Innovative Learning, Mahidol University, Thailand. Supap received B.Sc. in science (Mathematics) and Diploma in Teaching Profession from Mahidol University in Thailand. She has received a scholarship from the Project for Promotion of Science and Mathematics Talented Teacher of the Institute for the Promotion of Teaching Science and Technology, Thailand.
Associate Professor, Department of Mathematics, Mahidol University, Bangkok, Thailand
Kanlaya Naruedomkul is an associate professor of Mathematics Department at Mahidol University, Bangkok, Thailand. Her research interests in center on artificial intelligence applications, including automated natural language processing, computational linguistics, and machine translation. Naruedomkul received a PhD in computer science from the University of Regina.
Professor, Department of Computer Science and Engineering, York University, Toronto, Ontario, Canada
Nick Cercone is a professor of computer science and engineering at York University, Toronto, Ontario, Canada. His research interests include natural language processing, knowledge-based systems, knowledge discovery in databases, data mining, and design and human interfaces. Cercone received a PhD in computing science from the University of Alberta. He is a member of the ACM and Fellow of the IEEE.
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