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Relationship between the cognitive load and the learning success in applying force diagrams

Eye-tracking study

Bibliographic Data

ID22167191
AuthorsYultuz Omarbakiyeva, Y A Omarbakiyeva (0009-0008-4433-1553, Otto-von-Guericke-Universität Magdeburg, corresponding author), Larissa Hahn (0000-0002-5864-1594, University of Göttingen), Pascal Klein (0000-0003-3023-1478, University of Göttingen), Ingrid Krumphals (0000-0002-0085-3615, University of Teacher Education Styria), Bianca Watzka (0000-0002-3867-9683, RWTH Aachen University)
Year2025
Volume10
Publication date2025-01-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Education (JOURNAL)
Journal identifiersISSN: 2504-284X • E-ISSN: 2504-284X
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/feduc.2025.1451020
OpenAlexW4406935924
LanguageEN
References cited39

Introduction This paper is concerned with investigating the cognitive demands of solving force diagram tasks in different scenarios, specifically in the wind context. Methods In this study, students were trained using worked examples and then completed tasks in two different scenarios while their eye movements were monitored with eye-tracking technology. After completing the tasks, cognitive load was assessed to evaluate the impact of task complexity on cognitive processing. Eye-tracking metrics were analyzed in detail to identify gaze strategies, differences and similarities. Results It was found that a three-force scenario (surface wind formation) induced a higher intrinsic cognitive load than a two-force scenario, which is not only theoretically justified by cognitive load theory, but also confirmed by eye-tracking metrics. Although correlation analyses show no significant relationship between the ability to mentally rotate and learning success, the role of mental rotation in problem solving is highlighted by eye-tracking data. Discussion Our results contribute to a better understanding of the learning and problem-solving mechanisms involved in wind direction determination and offer possible implications for the design of more effective teaching and learning methods in this area

Cognition · Cognitive Load · Cognitive psychology · Eye tracking · Human–computer interaction · Computer Science · Gaze Tracking and Assistive Technology · Intelligent Tutoring Systems and Adaptive Learning · Psychology · Visual and Cognitive Learning Processes · Artificial Intelligence

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