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Showing 1 to 15 of 149 results Save | Export
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Bilal Khalaf; Linda Al-Abbas; Ihab Mahmood; Othman Jaalout – Educational Process: International Journal, 2025
Background: Effective translation practice requires a profound understanding of source and target languages. Previous research acknowledges the role of context in translation, but few explore this through analysis of cognitive load translations. Purpose: This study aims to address a gap in educational research by investigating how contextual…
Descriptors: Translation, Cognitive Processes, Difficulty Level, Context Effect
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Son, Yonggi; Gurvitch, Rachel; De Luna, Wellington; Carmon, Angela – Journal of Physical Education, Recreation & Dance, 2023
The Cognitive Load Theory (CLT) aims to foster learning productively under optimal cognitive loads. Students across all ages and stages of learning have limited capacity due to the human brain's functionality. Therefore, an effective learning design allows for knowledge acquisition that will minimize the loading effect on the working memory and…
Descriptors: Cognitive Processes, Difficulty Level, Productivity, Learning Processes
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John Dobson – Advances in Physiology Education, 2025
Among the "desirable difficulty" (DD) strategies developed by cognitive scientists, retrieval practice and distributed practice are two of the most robust and advantageous. This study evaluated a three-component intervention to enhance student learning that consisted of instruction about the advantages of retrieval and distributed…
Descriptors: Physiology, Teaching Methods, Instructional Effectiveness, Intervention
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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
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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
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Fatma Gizem Karaoglan Yilmaz; Ramazan Yilmaz – Journal of Computing in Higher Education, 2025
Task complexity emerges as one of the factors affecting the computer-supported collaborative learning (CSCL) process, group dynamics, and processes. Upon reviewing the literature, it becomes apparent that there are conflicting results regarding the impact of escalating task complexity on group dynamics and collaboration processes. The lack of…
Descriptors: Cooperative Learning, Computer Uses in Education, Difficulty Level, Group Dynamics
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Yicong Zheng; Pengyuan Sun; Xiaonan L. Liu – npj Science of Learning, 2023
Numerous studies have shown that learned information practiced by testing is better retained than that practiced by restudying (the testing effect). However, results are inconsistent regarding the effect of working memory (WM) capacity on the testing effect. Here, we hypothesize that the effect of WM only emerges when task demands challenge WM…
Descriptors: Short Term Memory, Retention (Psychology), Cognitive Processes, Undergraduate Students
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Jianqiang Ye; Junhua Gao; Tingting Lin; Kun He; Dimei Chen – Journal of Baltic Science Education, 2025
This study explored the impact of oxidation-reduction reaction problem difficulty on university students' cognitive load using event-related potentials (ERPs). Forty-eight balanced low and high difficulty problems were designed. Fifteen undergraduate students majoring in chemistry (8 females and 7 males) participated in the study. Results…
Descriptors: Science Instruction, Undergraduate Students, Chemistry, Difficulty Level
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Yi Zhang; Ke Xu; Yun Pan; Zhongling Pi; Jiumin Yang – Active Learning in Higher Education, 2025
The current study investigated the effects of segmentation design and drawing on college students' video learning. Participants were 158 college students randomly assigned to view either a segmented or continuous video lecture (video type: segmented vs continuous) and who either received instructed to draw while learning or no instructions at all…
Descriptors: College Students, Video Technology, Lecture Method, Eye Movements
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Peper, Phil; Alakbarova, Durna; Ball, B. Hunter – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Prospective memory (PM) refers to the ability to remember to complete a task at the appropriate moment in the future. Past research has found reminders can improve PM performance in both laboratory and naturalistic settings, but few projects have examined the circumstances when and what types of reminders are most beneficial. Three experiments in…
Descriptors: Cognitive Processes, Difficulty Level, Memory, Cues
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Matthew, Gordon; De Villiers, Koos – Journal of Educational Multimedia and Hypermedia, 2020
In recent years, a large number of learning management sites (LMs) have emerged in the higher education sector, but these systems are generally not well-maintained. Most of the time the burden falls upon the lecturers to populate and maintain the content on these sites. The problem is, most of these online environments are built around complex…
Descriptors: Cognitive Processes, Difficulty Level, Integrated Learning Systems, Instructional Design
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Hao, Xiaoxin; Xu, Zhiyi; Guo, Mingyue; Hu, Yuzheng; Geng, Fengji – International Journal of STEM Education, 2023
Background: Coding has become an integral part of STEM education. However, novice learners face difficulties in processing codes within embedded structures (also termed nested structures). This study aimed to investigate the cognitive mechanism underlying the processing of embedded coding structures based on hierarchical complexity theory, which…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Computer Science Education
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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
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Donna Bryce; Florian Kattner; Teresa Birngruber; Paul Wellingerhof – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Knowing what one knows and accurately monitoring one's own capacities and performance on a moment-to-moment basis are important determinants of task success. Individual differences in such metacognitive monitoring are well documented, but what determines an individual's monitoring accuracy in a particular context is yet to be fully understood. One…
Descriptors: Accuracy, Short Term Memory, Metacognition, Recall (Psychology)
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Yim, Hyungwook; Dennis, Simon J.; Sloutsky, Vladimir M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Models of statistical learning do not place constraints on the complexity of the memory structure that is formed during statistical learning, while empirical studies using the statistical learning task have only examined the formation of simple memory structures (e.g., two-way binding). On the contrary, the memory literature, using explicit memory…
Descriptors: Incidental Learning, Barriers, Memory, Difficulty Level
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