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Cognitive Load as a Local Characteristic of Cognitive ProcessesImplications for Measurement Approaches
Abstract
Cognitive load as a phenomenon related to the magnitude of the processing demands on working memory is a dynamic characteristic of working-memory operation, indicating the intensity of this operation. This chapter discusses cognitive load measures on their level of objectivity and level of causal relationship. The first dimension, objectivity , describes whether a measurement method uses subjective, self-reported data or objective observations of behaviors. The second dimension, causal relation , classifies measurement methods based on the relation of the observed phenomenon to cognitive load either as direct, or indirect. The chapter reviews which of these measures are able to provide the kind of micro-level measures related to specific time points of the learning process that learner approach requires. It explains one of these approaches, the use of concurrent verbal protocols, in more detail. The chapter looks in more detail at the makeup of cognitive load as a cognitive phenomenon in order to determine the most suitable ways of measuring it.
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“Kalyuga and Singh (2016) suggest to consider cognitive load at smaller intervals and Kalyuga and Plass (2017) present a method in which participants ' verbal reports during learning tasks are analyzed concerning expressions of their cognitive load.”
From Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load (2022) · cites this paper as Kalyuga and Plass (2017)
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Research works printed but not linked: 1
- Antonenko, P., Paas, F., Grabner, R., & Van Gog, T. (2010). Using electroencephalography to measure cognitive load. Educational Psychology Review, 22(4), 425–438. · DOI
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Skulmowski, A., & Xu, K. M. (2022) · Educational Psychology Review · doi:10.1007/s10648-021-09624-7 · Cited by 678
Cognitive Load as Motivational Cost
Feldon, D. F., Callan, G., Juth, S., & Jeong, S. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09464-6 · Cited by 218
Effects of prior knowledge on collaborative and individual learning
Zambrano R., J., Kirschner, F., Sweller, J., & Kirschner, P. A. (2019) · Learning and Instruction · doi:10.1016/j.learninstruc.2019.05.011 · Cited by 121
Metadata
- Authors
- Kalyuga, S., & Plass, A. J. L.
- Affiliations
- UNSW Sydney (AU)
- ORCID
- Kalyuga, Slava
- Venue
- Cognitive Load Measurement and Application
- Publisher
- Routledge
- Published
- 2017-11-22
- Pages
- 59-74
- OpenAlex
- W2888796902
- Cited by
- 24
- References
- 0
- Citations by year
- 2026: 2 · 2024: 6 · 2022: 5 · 2021: 3 · 2020: 5 · 2019: 3
- FWCI
- 8.80
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational and Psychological Assessments
- Keywords
- cognitive load, working memory, cognitive load assessment, causal relationship, self-reported data, learning process
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