Fronto-insular-parietal network engagement underlying arithmetic word problem solving. [PDF]
Hum Brain Mapp, 2019 Chang TT, Lung TC, Ng CT, Metcalfe AWS.
europepmc +3 more sources
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Solving math word problems requires deductive reasoning over the quantities in the text. Various recent research efforts mostly relied on sequence-to-sequence or sequence-to-tree models to generate mathematical expressions without explicitly performing ...
Zhanming Jie, Jierui Li, Wei Lu
semanticscholar +1 more source
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers [PDF]
AAAI Conference on Artificial Intelligence, 2021 While Math Word Problem (MWP) solving has emerged as a popular field of study and made great progress in recent years, most existing methods are benchmarked solely on one or two datasets and implemented with different configurations.
Yihuai Lan +7 more
semanticscholar +1 more source
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving [PDF]
NAACL-HLT, 2021 Math word problem (MWP) solving faces a dilemma in number representation learning. In order to avoid the number representation issue and reduce the search space of feasible solutions, existing works striving for MWP solving usually replace real numbers ...
Zhenwen Liang +6 more
semanticscholar +1 more source
A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 We present ASDiv (Academia Sinica Diverse MWP Dataset), a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers.
Shen-Yun Miao +2 more
semanticscholar +1 more source
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 We study the problem of generating arithmetic math word problems (MWPs) given a math equation that specifies the mathematical computation and a context that specifies the problem scenario.
Zichao Wang +2 more
semanticscholar +1 more source
Infinity, 2022 This study aims to identify students’ errors in solving word problems of trigonometry according to the Newman Error Hierarchical Model. This study uses qualitative descriptive data gathered based on fact, and data analysis presented descriptively.
Thalitha Ariesti Widhia Wardhani +1 more
doaj +1 more source
Adversarial Examples for Evaluating Math Word Problem Solvers [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Standard accuracy metrics have shown that Math Word Problem (MWP) solvers have achieved high performance on benchmark datasets. However, the extent to which existing MWP solvers truly understand language and its relation with numbers is still unclear. In
Vivek Kumar +2 more
semanticscholar +1 more source
Effect of Teaching Problem Solving with Emphasis on Drawing Strategy upon word problems Solving Performance of Seventh Grade Students [PDF]
رویکردهای نوین آموزشی, 2020 The main purpose of present study was to investigate the effect of teaching problem solving using drawing strategy on word problem Solving performance of seventh grade students.
Ebrahim Reyhani +2 more
doaj +1 more source
HIGH SCHOOL STUDENTS’ CRITICAL THINKING ABILITY
Jupitek, 2023 Problem solving is an important skill, and making decisions about the basis of critical thinking skills. This study is a descriptive qualitative study to describe the critical thinking of 8th grade public junior high school students in the suburbs of ...
Puput Dwi Agustin, Lydia Lia Prayitno
doaj +1 more source