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Showing 1 to 15 of 116 results Save | Export
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Neslihan Yondemir Çaliskan; Emine Sendurur – Educational Technology Research and Development, 2025
Based on the assumptions of cognitive load theory, this study aims to utilize the eye movement data collected from multiple experts to scaffold novice graphic designers. The study has two main stages. In the first stage, eye tracking was used to record the eye movements of 7 experts, who covered eight topics explaining how to use Photoshop. The…
Descriptors: Eye Movements, Novices, Expertise, Guidance
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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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Yang, Xiaomeng; Wang, Fuxing; Mayer, Richard E.; Hu, Xiangen; Gu, Chuanhua – Journal of Educational Psychology, 2023
The spatial contiguity principle is that people learn and perform better when corresponding printed text and graphics are placed near rather than far from each other on the screen or page. This is a well-established design principle in multimedia learning. However, there is insufficient research to establish the appropriate distance between text…
Descriptors: Spatial Ability, Eye Movements, Multimedia Materials, Visual Perception
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Mengshi Xiao; Weizi Li; Lei Han; Shasha Zheng – Journal of Computer Assisted Learning, 2025
Background: In multimedia learning environments, pedagogical agents have emerged as an innovative tool to enhance digital instruction, yet optimising their design for maximal learning effectiveness remains underexplored. Objectives: This study aimed to investigate how specific design elements of pedagogical agents, namely appearance and voice…
Descriptors: Multimedia Instruction, Instructional Design, Computer Simulation, Student Attitudes
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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
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Mutlu-Bayraktar, Duygu; Ozel, Pinar; Altindis, Fatih; Yilmaz, Bulent – Interactive Learning Environments, 2023
The aim of this study is to compare subjective and objective cognitive load measurements in a multimedia learning environment. For this purpose, 20 university students studied in multimedia environments designed by researchers during which eye movements and multichannel electroencephalography (EEG) signals were recorded. Self-report ratings were…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Eye Movements
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Kelsey J. MacKay; Filip Germeys; Wim Van Dooren; Lieven Verschaffel; Koen Luwel – Educational Studies in Mathematics, 2025
Rational numbers, such as fractions and decimals, are harder to understand than natural numbers. Moreover, individuals struggle with fractions more than with decimals. The present study sought to disentangle the extent to which two potential sources of difficulty affect secondary-school students' numerical magnitude understanding: number type…
Descriptors: Number Concepts, Numeracy, Secondary School Mathematics, Secondary School Students
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Idit Adler; Liat Liberman; Ilana Dubovi – Journal of Computer Assisted Learning, 2025
Background: This study investigates the effect of immersion levels in virtual reality (VR) learning environments on the acquisition of declarative and procedural knowledge. Prior research indicates that immersion affects cognitive load, but its impact on declarative and procedural knowledge outcomes remains unclear. This study utilises a…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Outcomes of Education
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Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
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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
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Fatma Bayrambas; Emine Sendurur – Education and Information Technologies, 2024
Incidental learning is a type of informal learning occurring consciously with unintentional acts. Within the scope of this study, informal learning on a digital learning platform was examined in the context of cognitive load. The current study investigated the changes in incidental learning within two different scenarios: extraneous irrelevant…
Descriptors: Incidental Learning, Cognitive Processes, Difficulty Level, Biofeedback
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Lishan Zhang; Lili Liu; Shuwen Wang; Min Xu; Sixv Zhang; Yun Tang – Journal of Computer Assisted Learning, 2025
Background: Collaborative reading can facilitate students' understanding of complex learning materials. High-quality annotations provided by peer learners are essential for successful collaborative reading. However, it remains to be understood how annotation quality affects reading comprehension. Objectives: A simulated collaborative reading…
Descriptors: Educational Quality, Documentation, Reading Processes, Eye Movements
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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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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
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Hsiao-Ching She; Meng-Jun Chen; Li-Yu Huang; Ching-Ying Hsueh – Education and Information Technologies, 2025
Despite the recognized link between scientific reasoning, mental sets, and conceptual change, the cognitive mechanisms underlying successful conceptual change remain unclear. To explore this, we developed computer-based reasoning programs with and without mental set support to examine their effects on conceptual change in tasks of varying…
Descriptors: Cognitive Processes, Scientific Concepts, Concept Formation, Eye Movements
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