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No Simple Solutions to Complex Problems

Cognitive Science Principles Can Guide but Not Prescribe Educational Decisions

Bibliographic Data

ID22124604
AuthorsVeronica X Yan (0000-0002-3988-3184, The University of Texas at Austin, corresponding author), Faria Sana (0000-0002-2202-7592, Athabasca University), Paulo F Carvalho (0000-0002-0449-3733, Carnegie Mellon University)
Year2024
Volume11
Issue1
Pages59-66
Publication date2024-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy Insights from the Behavioral and Brain Sciences (JOURNAL)
Journal identifiersISSN: 2372-7322 • E-ISSN: 2372-7330
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/23727322231218906
PMID38516056
OpenAlexW4389702746
LanguageEN
Citations received3
References cited53

Cognitive science of learning points to solutions for making use of existing study and instruction time more effectively and efficiently. However, solutions are not and cannot be one-size-fits-all. This paper outlines the danger of overreliance on specific strategies as one-size-fits-all recommendations and highlights instead the cognitive learning processes that facilitate meaningful and long-lasting learning. Three of the most commonly recommended strategies from cognitive science provide a starting point; understanding the underlying processes allows us to tailor these recommendations to implement at the right time, in the right way, for the right content, and for the right students. Recommendations regard teacher training, the funding and incentivizing of educational interventions, guidelines for the development of educational technologies, and policies that focus on using existing instructional time more wisely

Cognition · Cognitive psychology · Epistemology · Management science · Computer Science · Engineering · Intelligent Tutoring Systems and Adaptive Learning · Memory Processes and Influences · Psychology · Visual and Cognitive Learning Processes

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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