The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The transfer of abstract principles governing complex adaptive systems
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Citations
Cites
Situated Cognition and the Culture of Learning
Brown, J. S., Collins, A., & Duguid, P. (1989) · Educational Researcher · doi:10.3102/0013189x018001032 · Cited by 13,645 · cited 1×
“This position is often also associated with the claim that training by presenting abstractions is of little use, and that training should involve authentic, real-world problems ( Brown, Collins, & Duguid, 1989; Collins, Brown, & Newman, 1989).”
BackgroundSchema induction and analogical transfer
Gick, M. L., & Holyoak, K. J. (1983) · Cognitive Psychology · doi:10.1016/0010-0285(83)90002-6 · Cited by 3,010 · cited 9×
“Although spontaneous transfer is not always found across analogically related problems (Gick & Holyoak, 1980, 1983), the pilot experiment, as well as the currently reported experiments, had several design aspects that have been empirically linked with abstract transfer.”
BackgroundResultInfluentialImplicit memory: History and current status.
Schacter, D. L. (1987) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.13.3.501 · Cited by 2,983 · cited 1×
“Implicit measures of learning often times show a greater dependence on the superficial similarity between training and testing contexts (see Schacter, 1987 for a review).”
BackgroundGick, M. L., & Holyoak, K. J. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90013-4 · Cited by 2,552 · cited 8×
“Although spontaneous transfer is not always found across analogically related problems (Gick & Holyoak, 1980, 1983), the pilot experiment, as well as the currently reported experiments, had several design aspects that have been empirically linked with abstract transfer.”
BackgroundResultInfluentialWhen and where do we apply what we learn?: A taxonomy for far transfer
Barnett, S. M., & Ceci, S. J. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.4.612 · Cited by 2,076 · cited 5×
“If abstracting deep principles that cut across different domains is frequently valuable (see Anderson, Reder, & Simon, 1996 and Barnett & Ceci, 2002 for defenses of this assumption), then it is likewise valuable to find ways to promote this abstraction.”
BackgroundInfluentialInquiry, modeling, and metacognition: making science accessible to all students
White, B. Y., & Frederiksen, J. R. (1998) · Cognition and Instruction · doi:10.1207/s1532690xci1601_2 · Cited by 1,394 · cited 1×
“Third, they provide effective exposure to experimentation skills that involve a cycle of hypothesis formation, testing, evaluation, and revision (White, 1993; White & Fredericksen, 1998).”
BackgroundGoals and Learning in Microworlds
Miller, C. S., Lehman, J. F., & Koedinger, K. R. (1999) · Cognitive Science · doi:10.1207/s15516709cog2303_2 · Cited by 160
Cited by
(2014) · Medical Entomology and Zoology · Cited by 1,154
Hmelo-Silver, C. (2004) · Cognitive Science · doi:10.1016/s0364-0213(03)00065-x · Cited by 417
Hmelo‐Silver, C. E., & Pfeffer, M. G. (2004) · Cognitive Science · doi:10.1207/s15516709cog2801_7 · Cited by 406
Understanding Complex Systems: Some Core Challenges
Hmelo-Silver, C. E., & Azevedo, R. (2006) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1501_7 · Cited by 344
Conway, C. M., & Christiansen, M. H. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01801.x · Cited by 294
Metadata
- Authors
- Goldstone, R. L., & Sakamoto, Y.
- Venue
- Cognitive Psychology
- Publisher
- Elsevier BV
- Published
- 2003-06
- Volume
- 46
- Issue
- 4
- Pages
- 414-466
- ISSN
- 0010-0285 (ISSN-L)
- OpenAlex
- W1990825586
- Cited by
- 315
- References
- 7
- FWCI
- 13.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Goldstone, R. L., & Sakamoto, Y. (2003). The transfer of abstract principles governing complex adaptive systems. Cognitive Psychology. https://doi.org/10.1016/s0010-0285(02)00519-4
Data sources
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.
