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Xiaobo Liu; Yu Zhang – British Journal of Educational Psychology, 2025
Background: Cognitive load theory is widely used in educational research and instructional design, which relies heavily on conceptual constructs and measurement instruments of cognitive load. Due to its implicit nature, cognitive load is usually measured by other related instruments, such as commonly-used self-report scales of mental effort or…
Descriptors: Cognitive Processes, Difficulty Level, Cognitive Measurement, Educational Research
Jie Liu; Zhifeng Li; Jiawang Yang; Hao He; Fang Cui – npj Science of Learning, 2025
This study explores the cognitive and neural mechanisms underlying math avoidance in individuals with high math anxiety (HMA), a pattern contributing to reduced practice and poor performance. Using an approach-avoid conflict paradigm and both general linear mixed model and Hierarchical Drift Diffusion Model (HDDM) regression analyses, we found…
Descriptors: Cognitive Processes, Neurology, Mathematics Education, Mathematics Anxiety
Jamaal R. Young; Miriam Sanders; Danielle Bevan; Syahrul Amin – International Journal of Education in Mathematics, Science and Technology, 2025
Productive struggle (PS) has emerged as a critical construct in mathematics education, emphasizing the importance of persistence, cognitive engagement, and conceptual understanding in problem-solving. However, inconsistencies in its conceptual and operational definitions have hindered its effective implementation and assessment. This study…
Descriptors: Problem Solving, Persistence, Mathematics Education, Educational Research
Ji-Eun Lee; Sunghwan Hwang; Sheunghyun Yeo – International Journal of Science and Mathematics Education, 2024
This study explored 54 preservice elementary teachers' identification and modification of mathematical tasks in raising cognitive demand and examined the features of their modified tasks. The study collected data using a three-phase activity: (a) identifying the level of cognitive demand of the given task, (b) modifying the low cognitive demand…
Descriptors: Elementary School Teachers, Task Analysis, Difficulty Level, Mathematics Education
Laura Galeano; Gustaf Gredebäck – Cognitive Science, 2024
We investigated the relations between self-reported math anxiety, task difficulty, and pupil dilation in adults and very young children during math tasks of varying difficulty levels. While task difficulty significantly influenced pupillary responses in both groups, the association between self-reported math anxiety and pupil dilation differed…
Descriptors: Mathematics Anxiety, Difficulty Level, Task Analysis, Eye Movements
Aan Hendrayana; Anwar Mutaqin – Educational Process: International Journal, 2025
Background/purpose: This study investigates the effectiveness of Problem-Based Learning (PBL) integrated with scaffolding in enhancing problem-solving skills among students with varying levels of prior knowledge. The main objective is to determine how scaffolding, when combined with PBL, can support students in developing stronger problem-solving…
Descriptors: Foreign Countries, Problem Based Learning, Scaffolding (Teaching Technique), Problem Solving
Tzu-Hua Wang; Chien-Hui Kao – Mind, Brain, and Education, 2024
Studies have demonstrated that task-evoked pupillary responses (TEPRs) can be adopted to measure the examinee's cognitive load. This study compared three approaches for the measurement of TEPRs, mean pupil diameter, mean pupil dilation, and mean percentage of pupil dilation, to determine the best-fit measuring method. The valid participants of…
Descriptors: Eye Movements, Cognitive Processes, Difficulty Level, Mathematics Education
Yusuke Uegatani; Hiroki Otani; Shintaro Shirakawa; Ryo Ito – Mathematics Education Research Journal, 2024
Due to the learning paradox, students cannot have real difficulty in understanding a mathematical concept that they have not yet understood. There is a gap between real difficulties, directly experienced by students, and illusionary ones, only observed by researchers. This paper aims to offer a critical reflection on our understanding of the term…
Descriptors: Mathematics Education, Concept Formation, Mathematical Concepts, Difficulty Level
Giulia Cosentino; Jacqueline Anton; Kshitij Sharma; Mirko Gelsomini; Michail Giannakos; Dor Abrahamson – British Journal of Educational Technology, 2025
This study explores the role of generative AI (GenAI) in providing formative feedback in children's digital learning experiences, specifically in the context of mathematics education. Using multimodal data, the research compares AI-generated feedback with feedback from human instructors, focusing on its impact on children's learning outcomes.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Mathematics Education
Kai-Hsiang Yang; Hui-Chun Chu; Gwo-Jen Hwang; Tzu-Jung Liu – Educational Technology Research and Development, 2025
Digital game-based learning (DGBL) has emerged as an effective strategy to enhance students' learning effectiveness. Concept mapping, recognized as a valuable tool for knowledge construction, has been widely implemented in educational settings. However, research indicates challenges when integrating concept maps into games, particularly when the…
Descriptors: Concept Mapping, Computer Games, Educational Games, Mathematics Education
Parrish, Christopher W.; Bryd, Kelly O. – International Electronic Journal of Mathematics Education, 2022
A clear relationship exists between the consistent selection and implementation of cognitively demanding tasks and students' conceptual understanding of mathematics. However, mathematics teachers often struggle to maintain the cognitive demand of implemented tasks, with a number of factors identified as contributing to this decline. As many…
Descriptors: Cognitive Processes, Difficulty Level, Learner Engagement, Curriculum Implementation
Manuel Ninaus; Verena Dresen; Stefan E. Huber; Kristian Kiili; Pierpaolo Dondio; Elisabeth M. Weiss; Korbinian Moeller – Mind, Brain, and Education, 2025
Children with dyscalculia show less self-efficacy and more anxiety while engaging in mathematical tasks. In addition to difficulties in basic mathematical skills, such non-cognitive factors negatively impact their mathematics achievement. In contrast, game elements have been found to increase performance, motivation, and task engagement.…
Descriptors: Mastery Learning, Game Based Learning, Learning Disabilities, Mathematics Skills
Qiong Yu; Yi Ding; Yifan Wang; Chun Zhang; Akane Zusho – AERA Online Paper Repository, 2024
This study investigated the effects of working memory load (WML) and automaticity on mental addition through an examination of both task and individual characteristics within the framework of cognitive load theory. Results from 73 fourth graders showed that WML, automaticity, and their interaction had significant effects on mental addition.…
Descriptors: Short Term Memory, Mental Computation, Addition, Elementary School Students
Yan, Xiaoeheng; Jungic, Veselin – PRIMUS, 2023
The COVID-19 pandemic provided students a rare opportunity to use their mathematical knowledge to make sense of a top-of-mind crisis. Based on a report in a major regional newspaper, we designed tasks that require an understanding of infection rates and an interpretation of a misleading claim made in the newspaper. Our analysis of 91 undergraduate…
Descriptors: COVID-19, Pandemics, Disease Incidence, Calculus
Casey Hord; Matthew Christman; Tiffany Berman – Insights into Learning Disabilities, 2025
As they progress to more abstract and complex levels of mathematics, students with learning disabilities (and other students who are struggling with mathematics) can face challenges related to memory and cognition, as well as potential difficulties with math anxiety. For example, quadratic functions can present several challenges for many…
Descriptors: Students with Disabilities, Learning Disabilities, At Risk Students, Mathematics Education

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