The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Why do beliefs about intelligence influence learning success? A social cognitive neuroscience model
Open accessAbstract
Students' beliefs and goals can powerfully influence their learning success. Those who believe intelligence is a fixed entity (entity theorists) tend to emphasize 'performance goals,' leaving them vulnerable to negative feedback and likely to disengage from challenging learning opportunities. In contrast, students who believe intelligence is malleable (incremental theorists) tend to emphasize 'learning goals' and rebound better from occasional failures. Guided by cognitive neuroscience models of top-down, goal-directed behavior, we use event-related potentials (ERPs) to understand how these beliefs influence attention to information associated with successful error correction. Focusing on waveforms associated with conflict detection and error correction in a test of general knowledge, we found evidence indicating that entity theorists oriented differently toward negative performance feedback, as indicated by an enhanced anterior frontal P3 that was also positively correlated with concerns about proving ability relative to others. Yet, following negative feedback, entity theorists demonstrated less sustained memory-related activity (left temporal negativity) to corrective information, suggesting reduced effortful conceptual encoding of this material-a strategic approach that may have contributed to their reduced error correction on a subsequent surprise retest. These results suggest that beliefs can influence learning success through top-down biasing of attention and conceptual processing toward goal-congruent information.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A social-cognitive approach to motivation and personality.
Dweck, C. S., & Leggett, E. L. (1988) · Psychological Review · doi:10.1037/0033-295x.95.2.256 · Cited by 9,745
Self-citationNeural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Cognitive and emotional influences in anterior cingulate cortex
Bush, G., Luu, P., & Posner, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01483-2 · Cited by 6,259
The cognitive control of emotion
OCHSNER, K., & GROSS, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.010 · Cited by 4,495
Holroyd, C. B., & Coles, M. G. H. (2002) · Psychological Review · doi:10.1037/0033-295x.109.4.679 · Cited by 4,027
Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007) · Child Development · doi:10.1111/j.1467-8624.2007.00995.x · Cited by 3,784
Self-citationContributions of anterior cingulate cortex to behaviour
Devinsky, O., Morrell, M. J., & Vogt, B. A. (1995) · Brain · doi:10.1093/brain/118.1.279 · Cited by 3,377
Aging and motivated cognition: the positivity effect in attention and memory
Mather, M., & Carstensen, L. L. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.005 · Cited by 1,910 · cited 1×
“In conclusion, top–down control has been a useful construct for understanding the basis of selective attention in both cognitive (Desimone and Duncan, 1995; Kastner and Ungerleider, 2001; Miller and Cohen, 2001) and emotional domains (Mather and Carstensen, 2005; Ochsner and Gross, 2005).”
BackgroundPraise for intelligence can undermine children's motivation and performance.
Mueller, C. M., & Dweck, C. S. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.75.1.33 · Cited by 1,709 · cited 1×
“These outcomes may be rooted in the different goals that follow from holding either a fixed or an acquirable view of intelligence (Dweck and Leggett, 1988; Hong et al., 1997; Mueller and Dweck, 1998; Sorich-Blackwell, 2001).”
BackgroundSelf-citationThe visual word form area: expertise for reading in the fusiform gyrus
McCandliss, B. D., Cohen, L., & Dehaene, S. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00134-7 · Cited by 1,489
Implicit theories, attributions, and coping: A meaning system approach.
Hong, Y.-Y., Chiu, C.-Y., Dweck, C. S., Lin, D. M.-S., & Wan, W. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.77.3.588 · Cited by 1,358
Self-citationNieuwenhuis, S., Ridderinkhof, K. R., Blom, J., Band, G. P. H., & Kok, A. (2001) · Psychophysiology · doi:10.1111/1469-8986.3850752 · Cited by 1,170
Molden, D. C., & Dweck, C. S. (2006) · American Psychologist · doi:10.1037/0003-066x.61.3.192 · Cited by 861
Self-citationObserving the transformation of experience into memory
Paller, K. A., & Wagner, A. D. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01845-3 · Cited by 852
Word recognition in the human inferior temporal lobe
Nobre, A. C., Allison, T., & McCarthy, G. (1994) · Nature · doi:10.1038/372260a0 · Cited by 789
Individual differences in trait rumination and the neural systems supporting cognitive reappraisal
RAY, R. D., OCHSNER, K. N., COOPER, J. C., ROBERTSON, E. R., GABRIELI, J. D. E., & GROSS, J. J. (2005) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.5.2.156 · Cited by 316 · cited 2×
“Thus, these findings add to a growing literature that aims to integrate social, cognitive and neuroscience data by considering how personality variables engage top–down control processes to modulate bottom–up stimulus processing (Amodio et al., 2004; Mathews et al., 2004; Ray et al., 2005).”
BackgroundErrors committed with high confidence are hypercorrected.
Butterfield, B., & Metcalfe, J. (2001) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.27.6.1491 · Cited by 223
Self-citationMedial frontal cortex activity and loss-related responses to errors
Taylor, S. F., Martis, B., Fitzgerald, K. D., Welsh, R. C., Abelson, J. L., Liberzon, I., Himle, J. A., & Gehring, W. J. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.4709-05.2006 · Cited by 160
Cited by
Mind-sets matter: A meta-analytic review of implicit theories and self-regulation.
Burnette, J. L., O'Boyle, E. H., VanEpps, E. M., Pollack, J. M., & Finkel, E. J. (2013) · Psychological Bulletin · doi:10.1037/a0029531 · Cited by 1,367
Wulf, G., & Lewthwaite, R. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0999-9 · Cited by 1,238
Mindsets: A View From Two Eras
Dweck, C. S., & Yeager, D. S. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691618804166 · Cited by 1,259
Self-citationWhy do women opt out? Sense of belonging and women's representation in mathematics.
Good, C., Rattan, A., & Dweck, C. S. (2012) · Journal of Personality and Social Psychology · doi:10.1037/a0026659 · Cited by 1,113
Self-citationParents’ Views of Failure Predict Children’s Fixed and Growth Intelligence Mind-Sets
Haimovitz, K., & Dweck, C. S. (2016) · Psychological Science · doi:10.1177/0956797616639727 · Cited by 383
Self-citation
Metadata
- Authors
- Mangels, J. A., Butterfield, B., Lamb, J., Good, C., & Dweck, C. S.
- Venue
- Social Cognitive and Affective Neuroscience
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-09-01
- Volume
- 1
- Issue
- 2
- Pages
- 75-86
- ISSN
- 1749-5016 (ISSN-L)
- 1749-5024
- OpenAlex
- W2145448684
- Cited by
- 598
- References
- 19
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.