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Problem-Solving Support and Instructional Sequence: Impact on Cognitive Load and Student Performance
Jamie Costley; Anna Gorbunova; Matthew Courtney; Ouhao Chen; Christopher Lange – European Journal of Psychology of Education, 2024
In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with…
Descriptors: Problem Solving, Cognitive Processes, Difficulty Level, Academic Achievement
San Bolkan; Alan K. Goodboy – Communication Education, 2024
The effect of instructor clarity on student learning has been explained using cognitive load theory, which stipulates that students have limited mental resources to devote to activities pertaining to learning. To date, the effect of teacher clarity on students' cognitive burden has been studied in reference to students' extraneous cognitive load…
Descriptors: Cognitive Processes, Difficulty Level, Teacher Effectiveness, Prediction
Tina Seufert; Verena Hamm; Andrea Vogt; Valentin Riemer – Educational Psychology Review, 2024
Self-regulated learning depends on task difficulty and on learners' resources and cognitive load, as described by an inverted U-shaped relationship in Seufert's (2018) model: for easy tasks, resources are high and load is low, so there is no need to regulate, whereas for difficult tasks, load is too high and resources are too low to regulate. Only…
Descriptors: Cognitive Processes, Difficulty Level, Resources, Self Management
Patrik Havan; Michal Kohút; Peter Halama – International Journal of Testing, 2025
Acquiescence is the tendency of participants to shift their responses to agreement. Lechner et al. (2019) introduced the following mechanisms of acquiescence: social deference and cognitive processing. We added their interaction into a theoretical framework. The sample consists of 557 participants. We found significant medium strong relationship…
Descriptors: Cognitive Processes, Attention, Difficulty Level, Reflection
Hanshu Zhang; Ran Zhou; Cheng-You Cheng; Sheng-Hsu Huang; Ming-Hui Cheng; Cheng-Ta Yang – Cognitive Research: Principles and Implications, 2025
Although it is commonly believed that automation aids human decision-making, conflicting evidence raises questions about whether individuals would gain greater advantages from automation in difficult tasks. Our study examines the combined influence of task difficulty and automation reliability on aided decision-making. We assessed decision…
Descriptors: Task Analysis, Difficulty Level, Decision Making, Automation
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
Jaewon Jung; Yoonhee Shin; HaeJin Chung; Mik Fanguy – Journal of Computing in Higher Education, 2025
This study investigated the effects of pre-training types on cognitive load, self-efficacy, and problem-solving in computer programming. Pre-training was provided to help learners acquire schemas related to problem-solving strategies. 84 undergraduate students were randomly assigned to one of three groups and each group received three different…
Descriptors: Training, Cognitive Processes, Difficulty Level, Self Efficacy
Hagit Magen; Michal Tomer-Offen – Cognitive Research: Principles and Implications, 2025
In many circumstances in everyday life, individuals offload information to external stores (e.g., shopping lists) to compensate for limitations in internal memory. When saving information externally, individuals tend to refrain from actively encoding an additional internal copy of the information, leading to a weakening of its internal trace. This…
Descriptors: Cognitive Processes, Difficulty Level, Memory, Information Storage
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
Zeynep Ayvaz-Tuncel; Özden Demir – International Journal on Social and Education Sciences, 2024
Pre-service teachers' metacognitive and problem-solving skills are highly important in the process of becoming effective teachers for providing their students with guided learning support. Determination of these two higher-order thinking processes and skills and investigation of the relationship between them is very important for enabling…
Descriptors: Cognitive Processes, Difficulty Level, Metacognition, Problem Solving
Ratna Candra Sari; Arin Pranesti; Ismi Solikhatun; Novita Nurbaiti; Nurhening Yuniarti – Education and Information Technologies, 2024
This study aims to examine the influence of the role of immersive technology on perceived learning's effectiveness by considering the cognitive load of users when using VR-based learning media. This study involved a total of 91 respondents who had attended virtual reality-based learning training. In this research, SmartPLS was used to test the…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Instructional Effectiveness
Skulmowski, Alexander – Mind, Brain, and Education, 2023
Cognitive load measurement is an important aspect of educational research. Current cognitive load surveys differentiate between intrinsic cognitive load (resulting from the complexity of learning materials) and their extraneous cognitive load (which is increased by a demanding design). In two studies, order effects of cognitive load subscales are…
Descriptors: Cognitive Processes, Difficulty Level, Measurement, Educational Research
Ghina'a Abu Deiab; Maia Popova; Rasha Bashatwah; Adel Ardakani; Joman Aldhirat; Afnan Ayyad; Adeel Alebraheem – Journal of Chemical Education, 2023
The aim of this study was to elucidate and describe students' thinking about organic chemistry reactions of small versus large drug-like molecules. Thirty-six students enrolled in a Pharmaceutical Organic Chemistry course participated in individual, think-aloud interviews. The interview protocol included questions about five reactions with the…
Descriptors: Pharmaceutical Education, Organic Chemistry, Protocol Analysis, Difficulty Level
Felix Krieglstein; Maik Beege; Lukas Wesenberg; Günter Daniel Rey; Sascha Schneider – Educational Psychology Review, 2025
In research practice, it is common to measure cognitive load after learning using self-report scales. This approach can be considered risky because it is unclear on what basis learners assess cognitive load, particularly when the learning material contains varying levels of complexity. This raises questions that have yet to be answered by…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Materials, Problem Solving
Yadi Yu; Wenbo Zhao; Anran Li; David R. Shanks; Xiao Hu; Liang Luo; Chunliang Yang – Educational Psychology Review, 2025
Retrieval practice is well-established as a powerful tool for reinforcing long-term learning. Most previous research has concentrated on the effectiveness of overt retrieval, involving recalling information from memory and generating overt responses by writing, typing, or speaking aloud the retrieved information. Here we ask whether covert…
Descriptors: Recall (Psychology), Cognitive Processes, Learning Strategies, Meta Analysis

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