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O'Rear, Connor D.; Zippert, Erica L.; Ehrman, Patrick; Westerberg, Lauren; Lonigan, Christopher J.; Purpura, David J. – Infant and Child Development, 2023
In two studies, we investigated whether using three-dimensional (3D) manipulatives during assessment aided performance on a variety of preschool mathematics tasks compared to pictorial representations. On measures of children's understanding of counting and cardinality (n = 103), there was no difference in performance between manipulatives and…
Descriptors: Manipulative Materials, Mathematics Instruction, Pictorial Stimuli, Preschool Education
Ruiz, Carola; Kohnen, Saskia; Bull, Rebecca – Journal of Numerical Cognition, 2023
There is ongoing debate regarding what performance on the number line estimation task represents and its role in mathematics learning. The patterns followed by children's estimates on the number line task could provide insight into this. This study investigates children's estimation patterns on the number line task and assesses whether mathematics…
Descriptors: Foreign Countries, Kindergarten, Young Children, Computation
Van Der Auwera, Stijn; De Smedt, Bert; Torbeyns, Joke; Verschaffel, Lieven – Journal of Numerical Cognition, 2022
This study examined adults' frequent, efficient and adaptive use of direct subtraction (DS) and subtraction by addition (SBA) in mental multi-digit subtraction with the choice/no-choice method. Participants were offered subtractions in one choice condition (choice between DS and SBA) and two no-choice conditions (mandatory use of either DS or…
Descriptors: Subtraction, Executive Function, Addition, Undergraduate Students
Chan, Wendy; Oh, Jimin – Journal of Experimental Education, 2023
Many generalization studies in education are typically based on a sample of 30-70 schools while the inference population is at least twenty times larger. This small sample to population size ratio limits the precision of design-based estimators of the population average treatment effect. Prior work has shown the potential of small area estimation…
Descriptors: Generalization, Computation, Probability, Sample Size
Deborah Stone – ProQuest LLC, 2024
This purpose of this quasi-experimental, ex-post facto study was to examine the effect of SpringMath as a classwide intervention for students in grades kindergarten through second grade within one elementary school. In order to research the effects of SpringMath on the whole-number computational fluency of kindergarten through second grade…
Descriptors: Numbers, Computation, Mathematics Education, Classroom Techniques
Najim Oumelaid; Brahim El Boukari; Jalila El Ghordaf – Journal of Education and Learning (EduLearn), 2025
This paper presents the findings of a comprehensive experimental study examining the impact of computer-assisted instruction (CAI) compared to traditional teaching methods on learner performance and motivation in mathematics education. The study, conducted with 80 first-year college learners from a primary school in Morocco, aimed to assess the…
Descriptors: Foreign Countries, Computer Assisted Instruction, Conventional Instruction, Student Motivation
Tzu-Hsing Lin; Paul J. Riccomini; Zhigao Liang – Learning Disability Quarterly, 2025
This study reviews the literature on error patterns in mathematics among students with mathematics difficulty. We analyzed and synthesized the findings from 17 studies, focusing on the characteristics of error analysis studies, the mathematics topics examined, and the specific error patterns identified. The results revealed the following: (a) the…
Descriptors: Mathematics, Mathematics Education, Mathematics Instruction, Mathematical Concepts
Hsu, Chia-Ling; Chen, Yi-Hsin; Wu, Yi-Jhen – Practical Assessment, Research & Evaluation, 2023
Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian…
Descriptors: Bayesian Statistics, Computation, International Assessment, Achievement Tests
Corinne A. Bower; Kelly S. Mix; Gregory R. Hancock; Lei Yuan; Linda B. Smith – Journal of Cognition and Development, 2024
Children's early accuracy on place value (PV) tasks longitudinally predicts their later multidigit calculation skills. However, another window into children's emerging base-ten concepts is the pattern of errors -- "smart errors" -- they exhibit on these measures. Past research has speculated that these smart errors -- similar to invented…
Descriptors: Number Concepts, Accuracy, Error Patterns, Kindergarten
Thomas Mgonja; Francisco Robles – Journal of College Student Retention: Research, Theory & Practice, 2024
Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…
Descriptors: Predictor Variables, Remedial Mathematics, Mathematics Achievement, Graduation Rate
Kirkland, Patrick K.; Guang, Claire; Cheng, Ying; Trinter, Christine; Kumar, Saachi; Nakfoor, Sofia; Sullivan, Tiana; McNeil, Nicole M. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Students exhibiting mature number sense make sense of numbers and operations, use reasoning to notice patterns, and flexibly select the most effective and efficient problem-solving strategies (McIntosh et al., 1997; Reys et al., 1999; Yang, 2005). Despite being highlighted in national standards and policy documents (CCSS, 2010; NCTM, 2000, 2014),…
Descriptors: Middle School Students, Number Concepts, Fractions, Arithmetic
Abdul Hanid, Mohd Fadzil; Mohamad Said, Mohd Nihra Haruzuan; Yahaya, Noraffandy; Abdullah, Zaleha – Education and Information Technologies, 2022
In this article, researchers conducted a study that integrates Augmented Reality application with Computational Thinking into Geometry Topics. Three variables were measured, Computational Thinking, Visualisation Skills and Geometry Topic achievement. The study was implemented with 124 students in two different schools using quasi-experimental…
Descriptors: Computer Simulation, Computation, Thinking Skills, Geometry
Alena Egorova; Vy Ngo; Allison S. Liu; Molly Mahoney; Justine Moy; Erin Ottmar – Mind, Brain, and Education, 2024
Perceptual learning theory suggests that perceptual grouping in mathematical expressions can direct students' attention toward specific parts of problems, thus impacting their mathematical reasoning. Using in-lab eye tracking and a sample of 85 undergraduates from a STEM-focused university, we investigated how higher-order operator position (HOO;…
Descriptors: Undergraduate Students, STEM Education, Mathematical Formulas, Mathematics Instruction
Zehra E. Ünal; Züleyha Terzi; Beyzanur Yalvaç; David C. Geary – Developmental Science, 2024
Understanding the magnitudes represented by numerals is a core component of early mathematical development and is often assessed by accuracy in situating numerals and fractions on a number line. Performance on these measures is consistently related to performance in other mathematics domains, but the strength of these relations may be…
Descriptors: Number Concepts, Mathematics Achievement, Mathematics Education, Meta Analysis
Ayesha Sohail; Huma Akram – Pedagogical Research, 2025
The ability to properly evaluate one's own academic progress has long been considered a predictor of academic success. However, its distinctive role in the context of computational mathematics remains underexplored. Grounded in social cognitive theory, this study investigates the critical role of self-regulated learning (SRL) strategies in…
Descriptors: Undergraduate Students, Mathematics Education, Mathematics Achievement, Self Evaluation (Individuals)

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