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Capturing Movement: A Tablet App, "Geometry Touch," for Recording Onscreen Finger-Based Gesture Data
Stoo Sepp; Sharon Tindall-Ford; Shirley Agostinho; Fred Paas – IEEE Transactions on Learning Technologies, 2024
This article presents a novel digital method of capturing finger-based gestures on touchscreen devices for the purpose of exploring tracing gestures in educational research. Given that tracing has been found to support cognition, learning, and problem solving in educational settings, data related to the performance of these gestures are…
Descriptors: Computer Oriented Programs, Tablet Computers, Data Collection, Problem Solving
Sanna Forsström; Melissa Bond – International Journal of Computer Science Education in Schools, 2024
Despite the widespread adoption of computational thinking (CT) across educational levels, challenges persist in its assessment due to diverse definitions, frameworks, and practical applications in classroom settings. This meta-synthesis investigates the assessment of computational thinking (CT) in primary and secondary education, synthesising…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Barriers
Xin Gong; Weiqi Xu; Shufan Yu; Jingjing Ma; Ailing Qiao – British Journal of Educational Technology, 2025
Tangible programming tools have become a mainstream teaching aid in gamification programming learning (GPL) due to their interactivity and ability to enhance novice learners' computational thinking and spatial reasoning skills. However, comparing the relative efficacy of different programming tools that simultaneously support these skills was not…
Descriptors: Computation, Thinking Skills, Spatial Ability, Gamification
Mudaly, Vimolan – Pythagoras, 2021
In mathematics, problem-solving can be considered to be one of the most important skills students need to develop, because it allows them to deal with increasingly intricate mathematical and real-life issues. Often, teachers attempt to try to link a problem with a drawn diagram or picture. Despite these diagrams, whether given or constructed, the…
Descriptors: Cognitive Processes, Problem Solving, Mathematics Education, College Freshmen
Kim, Dan; Opfer, John E. – Cognitive Science, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Kim, Dan; Opfer, John E. – Grantee Submission, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Stefan Franz Bucher – ProQuest LLC, 2021
While the supply of information pertaining to many decisions is seemingly limitless, the capacity of the human mind to process it is not. In this dissertation, I study some of the implications of information processing constraints for human decision-making. Its three chapters span different levels, investigating the consequences of information…
Descriptors: Decision Making, Information Utilization, Cognitive Processes, Barriers
Kim, Dan; Opfer, John E. – Developmental Psychology, 2020
Kim and Opfer (2017) found that number-line estimates increased approximately logarithmically with number when an upper bound (e.g., 100 or 1000) was explicitly marked (bounded condition) and when no upper bound was marked (unbounded condition). Using procedural suggestions from Cohen and Ray (2020), we examined whether this logarithmicity might…
Descriptors: Computation, Cognitive Development, Numbers, Cognitive Processes
Jungic, Veselin; Yan, Xiaoheng – For the Learning of Mathematics, 2020
The aim of this article is to advise readers that natural numbers may be introduced as ordinal numbers or cardinal numbers and that there is an ongoing discussion about which come first. In addition, through several examples, the authors demonstrate that in the process of answering the question "How many?" one may, if convenient, use…
Descriptors: Number Concepts, Mathematics Instruction, Cognitive Processes, Numbers
Kim, Dan; Opfer, John E. – Grantee Submission, 2020
Kim and Opfer (2017) found that number-line estimates increased approximately logarithmically with number when an upper bound (e.g., 100 or 1000) was explicitly marked (bounded condition) and when no upper bound was marked (unbounded condition). Using procedural suggestions from Cohen and Ray (2020), we examined whether this logarithmicity might…
Descriptors: Computation, Cognitive Development, Numbers, Cognitive Processes
Galbraith, Felicity; Ginns, Paul – Educational and Developmental Psychologist, 2023
Objective: Explicit instructions to students to use the index finger to trace out specified elements of mathematics worked examples have been shown to improve mathematics learning outcomes; however, there is limited research on whether the magnitude of tracing actions impacts these outcomes. Method: Using an experimental design, 34 adults were…
Descriptors: Direct Instruction, Mathematics Instruction, Adults, Mental Computation
Sekeris, Elke; Verschaffel, Lieven; Luwel, Koen – Infant and Child Development, 2021
Research distinguishes three types of arithmetic: exact arithmetic, computational estimation and approximate arithmetic. Little is, however, known about the interrelationship among these three arithmetic skills and the general cognitive and early numeracy skills that underlie these arithmetic skills. The current study investigates this…
Descriptors: Arithmetic, Computation, Mathematics Skills, Numeracy
Toney, Allison F.; Boul, Stephen D. – PRIMUS, 2022
Based on our work teaching undergraduate Calculus courses, we offer insight into teaching the chain rule to reduce cognitive load for students. A particularly difficult topic for students to grasp, problems likely arise due to student struggles with the concept of function and, particularly, function composition relative to when they first…
Descriptors: College Mathematics, Undergraduate Study, Mathematics Instruction, Difficulty Level
Computational Thinking Practices as Tools for Creating High Cognitive Demand Mathematics Instruction
Kathryn M. Rich; Aman Yadav; Charles J. Fessler – Journal of Mathematics Teacher Education, 2024
One characteristic of high-quality mathematics teaching is supporting students in engaging in tasks of high cognitive demand. In this paper, we explore relationships between two elementary teachers' efforts to integrate computational thinking (CT) practices--abstraction, debugging, and decomposition--into their mathematics instruction and their…
Descriptors: Mental Computation, Thinking Skills, Mathematics Instruction, Elementary School Mathematics
Minji Jeon; Kyungbin Kwon – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigated the computational thinking (CT) practices of eight pre-service teachers through their Scratch and Python programs. Conducted within an undergraduate-level computer science education course, students learned CT concepts via parallel instruction in block-based programming (Scratch) and text-based programming (Python). The…
Descriptors: Preservice Teacher Education, Preservice Teachers, Computation, Cognitive Processes

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