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Buaddin Hasan; Dwi Juniati; Masriyah – Mathematics Teaching Research Journal, 2025
This study examines the impact of working memory capacity and mathematics anxiety on the creative reasoning of prospective mathematics teachers, highlighting how these cognitive factors shape problem-solving processes. This research used a mixed-method sequence explanatory method with a sample size of 60 people for quantitative research, and four…
Descriptors: Short Term Memory, Mathematics Anxiety, Creative Thinking, Mathematical Logic
Tian Li; Gaomin Sun; Xinlin Zhou; Tengfei Wang – Educational Psychology, 2023
The close relationship between working memory and maths problem solving is generally accepted, but the specifics of how working memory and its subcomponents contribute to maths problem solving remain poorly understood. Tests of working memory, maths problem problem solving, calculation, and intelligence were administered to 246 university…
Descriptors: Mathematics, Short Term Memory, Problem Solving, Computation
Josh Medrano; Dana Miller-Cotto – British Journal of Educational Psychology, 2025
Background: High working memory capacity is associated with improved mathematical problem-solving skills. A leading theory about why working memory enhances problem-solving suggests that capable problem solvers might offload information from their working memory for later use. Aims: This study examined whether the ability to offload information…
Descriptors: Mathematics Skills, Problem Solving, State Universities, Short Term Memory
Kretzschmar, André; Nebe, Stephan – Journal of Intelligence, 2021
In order to investigate the nature of complex problem solving (CPS) within the nomological network of cognitive abilities, few studies have simultantiously considered working memory and intelligence, and results are inconsistent. The Brunswik symmetry principle was recently discussed as a possible explanation for the inconsistent findings because…
Descriptors: Short Term Memory, Logical Thinking, Problem Solving, Intelligence
Yi Ding; Qian Wang; Ru-De Liu; Jolene Trimm; Jiayi Wang; Shu Feng; Wei Hong; Xian-Tong Yang – SAGE Open, 2024
The paper examined the relations among problem solving, automaticity, and working memory load (WML) by changing the difficulty level of task characteristics through two applications. In Study 1, involving 68 engineering students, a 2 (automaticity) x 2 (WML) design was utilized for arithmetic problems. In Study 2, involving 76 engineering…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Problem Solving
Ruslimin A.; Yusuf Fuad; Masriyah – Educational Process: International Journal, 2025
Background/purpose: This study analyzes the commognition of students with low Working Memory Capacity (WMC) when solving calculus problems, particularly in integral material. Commognition, which merges cognition and communication, is explored through four indicators: keywords (stating knowns and unknowns), visual mediators (graphical…
Descriptors: Foreign Countries, Religious Colleges, Undergraduate Students, Mathematics Education
Bichler, Sarah; Stadler, Matthias; Bühner, Markus; Greiff, Samuel; Fischer, Frank – Instructional Science: An International Journal of the Learning Sciences, 2022
Extensive research has established that successful learning from an example is conditional on an important learning activity: self-explanation. Moreover, a model for learning from examples suggests that self-explanation quality mediates effects of examples on learning outcomes (Atkinson et al. in Rev Educ Res 70:181-214, 2000). We investigated…
Descriptors: Statistics, Statistics Education, Problem Solving, Executive Function
Dawei Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article…
Descriptors: College Students, Artificial Intelligence, Information Literacy, Problem Solving
Norton, Anderson; Ulrich, Catherine; Kerrigan, Sarah – Journal for Research in Mathematics Education, 2023
This article introduces unit transformation graphs (UTGs) as a tool for diagramming the ways students use sequences of mental actions to solve mathematical tasks. We report findings from a study in which we identified patterns in the ways preservice elementary school teachers relied on working memory to coordinate mental actions when operating in…
Descriptors: Graphs, Fractions, Short Term Memory, Preservice Teachers
Stryker, Rachael; Kokushkin, Vladislav; Norton, Anderson; Kerrigan, Sarah – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
This study examined the role of student generated drawings to offload cognitive demands of a mathematical problem. We used Unit Transformation Graphs to compare students' thought processes when they had to solve the problem mentally, and when they were allowed to use pen and paper. The results indicated that the possibility to rely on drawings…
Descriptors: Freehand Drawing, Mathematics Instruction, Problem Solving, Mathematical Logic
Juniati, Dwi; Budayasa, I. Ketut – European Journal of Educational Research, 2022
This study aimed to determine the effect of cognitive and affective factors on the performance of prospective mathematics teachers. Cognitive factors include cognitive independence level and working memory capacity, while affective factor include math anxiety. Mathematical performance was then assessed as basic math skills, advanced math skills…
Descriptors: Cognitive Processes, Affective Behavior, Academic Achievement, Preservice Teachers
Sankaranarayanan, Rajagopal; Kwon, Kyungbin; Cho, Yonjoo – Journal of Interactive Learning Research, 2021
Although collaborative learning is becoming a widely popular instructional method, little research has been undertaken considering human cognitive structures and their influence on the design of collaborative learning tasks. Using cognitive load theory as a theoretical framework in this study, forty-five undergraduate students were assigned to…
Descriptors: Problem Solving, Cooperative Learning, Individual Instruction, Interaction
Dania, Aspasia; Kaltsonoudi, Kalliope; Ktistakis, Ioannis; Trampa, Konstantina; Boti, Niki; Pesce, Caterina – Physical Education and Sport Pedagogy, 2023
Background: Within team sports, players' ability to inhibit inappropriate behavioral responses and flexibly adapt to upcoming challenges relates significantly to their game performance. As such, there have been calls for cognitively fostering programs to form the basis of game teaching and coaching practice. However, only few studies have tested…
Descriptors: Games, Executive Function, Student Athletes, Program Effectiveness
Davis, Thomas J.; Fichtenholtz, Harlan M. – Creativity Research Journal, 2019
This research explored the relationship between mental fatigue and creativity by testing the creative potential of 25 Keene State College students, half of which were subjected to mental fatigue. Little research has been done to look at these 2 variables together, but considerable research has been done on them individually. Using an…
Descriptors: Creativity, Stress Variables, Creative Thinking, Creativity Tests
Dobrin, Alexander Viktorovich; Shcherbatykh, Sergey Victorovich – International Journal of Instruction, 2021
This study aims to study the control of interference and self-control in students with different levels of probabilistic thinking style (PTS). The study covered 90 students (average age 20 ± 3.03 years). The sample subjects were formed through the approximate modeling method. The experimental group covered students from the 1st to the 4th year. At…
Descriptors: Executive Function, Undergraduate Students, Late Adolescents, Cognitive Style

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