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Cited by 286

The DOI matches its Crossref record; 162 of the 162 references it cites were found in a registry or an index.

The Psychology of Academic Achievement

Winne, Philip H., Nesbit, John C.·2010·Annual Review of Psychology

Abstract

Educational psychology has generated a prolific array of findings about factors that influence and correlate with academic achievement. We review select findings from this voluminous literature and identify two domains of psychology: heuristics that describe generic relations between instructional designs and learning, which we call the psychology of “the way things are,” and findings about metacognition and self-regulated learning that demonstrate learners selectively apply and change their use of those heuristics, which we call the psychology of “the way learners make things.” Distinguishing these domains highlights a need to marry two approaches to research methodology: the classical approach, which we describe as snapshot, bookend, between-group experimentation; and a microgenetic approach that traces proximal cause-effect bonds over time to validate theoretical accounts of how learning generates achievements. We argue for fusing these methods to advance a validated psychology of academic achievement.

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Crossref · 10.1146/annurev.psych.093008.100348

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Metadata

Authors
Winne, P. H., & Nesbit, J. C.
Venue
Annual Review of Psychology
Published
2010-01-01
Volume
61
Issue
1
Pages
653-678
ISSN
  • 0066-4308 (ISSN-L)
  • 1545-2085
OpenAlex
W2147881997
Cited by
286
References
162
FWCI
2.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Psychology of Academic Achievement. https://app.cochat.ai/papers/10.1146/annurev.psych.093008.100348
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Winne, P. H., & Nesbit, J. C. (2010). The Psychology of Academic Achievement. Annual Review of Psychology. https://doi.org/10.1146/annurev.psych.093008.100348

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.