Teaching Executive Functioning Processes: Promoting Metacognition, Strategy Use, and Effort
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System customizability can moderate the metacognitive demands of GenAI.
“The question of how much control to give users-system customizability, or how many 'knobs' a user can adjust-is another design choice that can moderate the metacognitive demands of GenAI [42,119].”
From The Metacognitive Demands and Opportunities of Generative AI (2024) · cites this paper as [119]
Cites
Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry
Flavell, J. H. (1979) · American Psychologist · doi:10.1037/0003-066x.34.10.906 · Cited by 11,282 · see citing works
Mindset: The New Psychology of Success
(2006) · Choice Reviews Online · doi:10.5860/choice.44-2397 · Cited by 7,804 · see citing works
Further Examining the American Dream: Differential Correlates of Intrinsic and Extrinsic Goals
Kasser, T., & Ryan, R. M. (1996) · Personality and Social Psychology Bulletin · doi:10.1177/0146167296223006 · Cited by 2,745 · see citing works
Goal striving, need satisfaction, and longitudinal well-being: The self-concordance model
Sheldon, K. M., & Elliot, A. J. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.3.482 · Cited by 2,541 · see citing works
Assessment and Development of Executive Function (EF) During Childhood
Anderson, P. (2002) · Child Neuropsychology · doi:10.1076/chin.8.2.71.8724 · Cited by 2,218 · see citing works
Developmental phases in self-regulation: shifting from process goals to outcome goals.
Zimmerman, B. J., & Kitsantas, A. (1997) · Journal of Educational Psychology · doi:10.1037/0022-0663.89.1.29 · Cited by 604 · see citing works
Lifespan CognitionMechanisms of Change
Bialystok, E., & Craik, F. I. M. (2006) · doi:10.1093/acprof:oso/9780195169539.001.0001 · Cited by 525 · see citing works
Profiles of everyday executive function in acquired and developmental disorders.
Gioia, G. A., Isquith, P. K., Kenworthy, L., & Barton, R. M. (2002) · Child Neuropsychology · doi:10.1076/chin.8.2.121.8727 · Cited by 498 · see citing works
A metacognitive view of individual differences in self-regulated learning
Winne, P. H. (1996) · Learning and Individual Differences · doi:10.1016/s1041-6080(96)90022-9 · Cited by 486 · see citing works
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The Metacognitive Demands and Opportunities of Generative AI
Tankelevitch, L., Kewenig, V., Simkute, A., Scott, A. E., Sarkar, A., Sellen, A., & Rintel, S. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642902 · Cited by 280 · see citing works
“It is a hallmark of creative problem-solving [144] and has been deemed essential for organizing and integrating a rapidly changing body of information [120].”
Background
- Authors
- Meltzer, L.
- Affiliations
- Harvard University (US)
- Corresponding author
- Meltzer, Lynn
- Venue
- Handbook of Executive Functioning
- Publisher
- Springer New York
- Published
- 2013-09-12
- Pages
- 445-473
- OpenAlex
- W124457720
- Cited by
- 44
- References
- 9
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 9 · 2021: 7 · 2020: 3 · 2019: 5 · 2018: 6 · 2017: 1 · 2016: 2 · 2014: 1
- FWCI
- 2.04
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Keywords
- executive function, metacognition, learning strategies, effort, student self-regulation, cognitive flexibility, time management, planning and organization, progress monitoring, self-directed learning
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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