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Liu, Qiushan; Braithwaite, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Rational numbers are represented by multiple notations: fractions, decimals, and percentages. Whereas previous studies have investigated affordances of these notations for representing different types of information (DeWolf et al., 2015; Tian et al., 2020), the present study investigated their affordances for solving different types of arithmetic…
Descriptors: Fractions, Arithmetic, Mathematical Concepts, Affordances
Hea-Jin Lee; Hee-Jeong Kim; Hyungmi Cho – Journal of Education for Teaching: International Research and Pedagogy, 2024
Teachers require support in developing the pedagogical skill of interpreting students' mathematical thinking and providing effective feedback that promotes learning. However, there is a lack of research assessing the quality of feedback based on teacher noticing in mathematics classes. This study analysed 20 preservice teachers' (PSTs) feedback…
Descriptors: Preservice Teachers, Teacher Education Programs, Mathematics Instruction, Feedback (Response)
Darius Endlich; Wolfgang Lenhard; Peter Marx; Tobias Richter – Journal of Learning Disabilities, 2024
Children with mathematical difficulties need to spend more time than typically achieving children on solving even simple equations. Since these tasks already require a larger share of their cognitive resources, additional demands imposed by the need to switch between tasks may lead to a greater decline of performance in children with mathematical…
Descriptors: Mathematics Instruction, Learning Problems, Arithmetic, Mathematics Achievement
Rhodes, Katherine T.; Lukowski, Sarah; Branum-Martin, Lee; Opfer, John; Geary, David C.; Petrill, Stephen A. – Journal of Educational Psychology, 2019
The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…
Descriptors: Learning Strategies, Addition, Problem Solving, Item Response Theory
Rhodes, Katherine T.; Lukowski, Sarah; Branum-Martin, Lee; Opfer, John; Geary, David C.; Petrill, Stephen A. – Grantee Submission, 2018
The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…
Descriptors: Learning Strategies, Addition, Problem Solving, Item Response Theory
Yanjin Long; Kenneth Holstein; Vincent Aleven – Grantee Submission, 2018
Accurately modeling individual students' knowledge growth is important in many applications of learning analytics. A key step is to decompose the knowledge targeted in the instruction into detailed knowledge components (KCs). We search for an accurate KC model for basic equation solving skills, using data from an intelligent tutoring system (ITS),…
Descriptors: Learning Processes, Mathematics Skills, Equations (Mathematics), Problem Solving
Bouck, Emily C.; Park, Jiyoon – Education and Training in Autism and Developmental Disabilities, 2020
Virtual manipulatives are an emerging intervention to support students with disabilities in mathematics. Through a multiple probe across participants design, researchers examined use of an intervention package consisting of a virtual manipulative (i.e., the Two-Color Counter app-based manipulative) and the system of least prompts (SLP) to support…
Descriptors: Computer Oriented Programs, Manipulative Materials, Assistive Technology, Prompting
Hopkins, Sarah – Mathematics Education Research Group of Australasia, 2016
A considerable number of children rely on counting to solve single-digit addition problems when they are expected to use accurate retrieval-based strategies. There are different reasons why this may be so. Children may use inefficient counting strategies, produce errors when applying backup strategies or lack sufficient confidence to just state…
Descriptors: Elementary School Students, Addition, Problem Solving, Computation
Hopkins, Sarah; Bayliss, Donna – Mathematical Thinking and Learning: An International Journal, 2017
In this research, we examined how 200 students in seventh grade (around 12 years old) solved simple addition problems. A cluster approach revealed that less than half of the cohort displayed proficiency with simple addition: 35% predominantly used min-counting and were accurate, and 16% frequently made min-counting errors. Students who frequently…
Descriptors: Middle School Students, Grade 7, Problem Solving, Mathematics Skills
Vasilyeva, Marina; Laski, Elida V.; Shen, Chen – Developmental Psychology, 2015
The present study tested the hypothesis that children's fluency with basic number facts and knowledge of computational strategies, derived from early arithmetic experience, predicts their performance on complex arithmetic problems. First-grade students from United States and Taiwan (N = 152, mean age: 7.3 years) were presented with problems that…
Descriptors: Grade 1, Elementary School Students, Numeracy, Computation
Torbeyns, Joke; Peters, Greet; De Smedt, Bert; Ghesquière, Pol; Verschaffel, Lieven – British Journal of Educational Psychology, 2016
Background: In the last decades, children's understanding of mathematical principles has become an important research topic. Different from the commutativity and inversion principles, only few studies have focused on children's understanding of the addition/subtraction complement principle (if a - b = c, then c + b = a), mainly relying on verbal…
Descriptors: Elementary School Students, Grade 3, Grade 4, Elementary School Mathematics

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