The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI
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“At the same time, the Memory Paradox (Oakley et al., 2025) highlights how excessive reliance on external aids can erode internal cognitive development, weakening schema formation and procedural fluency.”
From AI-assisted design synthesis and human creativity in engineering education (2026) · cites this paper as Oakley et al., 2025
Citations
Cites
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Cited by
Seung, Y., & Basham, J. D. (2026) · Learning Disability Quarterly · doi:10.1177/07319487261439132 · Cited by 12
AI-assisted design synthesis and human creativity in engineering education
Tsakalerou, M., Akhmadi, S., Balgynbayeva, A., & Kumisbek, Y. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1714523 · Cited by 11
Metadata
- Authors
- Oakley, B., Johnston, M., Chen, K., Jung, E., & Sejnowski, T.
- Affiliations
- Oakland University (US)
- Uniformed Services University of the Health Sciences (US)
- Corresponding author
- Oakley, Barbara
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2025
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4410357102
- Cited by
- 31
- References
- 59
- Citations by year
- 2026: 21 · 2025: 10
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience, Education and Cognitive Function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- Flynn effect, cognitive offloading, generative AI, human memory, declarative memory, procedural memory, memorization, teaching practice, cognitive flexibility, artificial intelligence in education, workforce development
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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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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.