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Sarah Podwinski; Iroise Dumontheil – Mathematics Education Research Group of Australasia, 2025
Mathematical problem-solving places heavy demands on children's developing working memory capacity. This review examines how offloading numerical information using embodied (e.g. finger counting) or external tools (e.g. manipulatives) can reduce cognitive load and improve mathematical task performance. Strategic offloading emerges in childhood;…
Descriptors: Problem Solving, Short Term Memory, Numbers, Cognitive Processes
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
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
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
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

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