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Schema-related cognitive load influences performance, speech, and physiology in a dual-task setting: A continuous
Maria Wirzberger1, Robert Herms2, Shirin Esmaeili Bijarsari3
1Psychology of Learning with Digital Media, Institute for Media Research, Faculty of Humanities, TU Chemnitz, Straße der Nationen 12, 09111, Chemnitz, Germany. maria.wirzberger@phil.tu-chemnitz.de.
Learning schema acquisition reduces cognitive load over time, as shown by improved performance and decreased physiological stress. This indicates robust knowledge transfer even with complex tasks.
Area of Science:
- Cognitive Psychology
- Educational Technology
- Human-Computer Interaction
Background:
- Schema acquisition is crucial for learning and involves significant cognitive demands.
- Understanding the mechanisms and influencing factors of cognitive load during schema acquisition is essential for optimizing learning environments.
Purpose of the Study:
- To investigate the progression of cognitive load during schema acquisition using a continuous multi-measure approach.
- To examine the relationship between task complexity, learning progression, and cognitive load.
- To assess the robustness of acquired schemata through a transfer task.
Main Methods:
- A dual-task paradigm was employed with 123 student participants learning symbol combinations while memorizing number sequences.
- Cognitive load was assessed using secondary task performance, prosodic speech parameters (pauses, articulation rate), and physiological markers (heart rate, skin conductance response).
- Learning progression was tracked over trials, and schema robustness was evaluated via a transfer task.
Main Results:
- Both primary and secondary task performance improved across trials.
- Speech and physiological parameters indicated a reduction in cognitive load as learning progressed.
- The transfer task confirmed robust and stable schema application, even under increased demands.
Conclusions:
- Cognitive load decreases logarithmically with schema acquisition, supporting efficient learning.
- Multimodal assessment of cognitive load offers valuable insights for educational technology and learning applications.
- The findings highlight the importance of 'desirable difficulties' in promoting stable knowledge transfer.
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