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Cited by 309

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Emotion Regulation in Achievement Situations: An Integrated Model

Harley, Jason M., Pekrun, Reinhard, Taxer, Jamie L., Gross, James J.·2019·Educational Psychologist

Abstract

Achievement emotions are critical because of their impact on success and failure in important domains such as learning. These emotions may be modified via emotion regulation (ER). The dominant process model of ER (PMER) proposed by J. Gross, however, provides a domain-general account of ER strategies and has not had substantial contact with theories of achievement emotions such as R. Pekrun’s control-value theory (CVT) and the academic achievement literature. Moreover, ER has not been a focal point of major theories related to achievement emotions, such as CVT. We propose an integrated model of ER in achievement situations (ERAS) that integrates propositions about the generation of emotions from CVT with propositions about how emotions are regulated and types of ER strategies from PMER. The ERAS model also offers new propositions regarding how different achievement situations, object foci, and time frames, as well as discrete emotions with different appraisal patterns, impact ER strategies.

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Metadata

Authors
Harley, J. M., Pekrun, R., Taxer, J. L., & Gross, J. J.
Venue
Educational Psychologist
Published
2019-04-03
Volume
54
Issue
2
Pages
106-126
ISSN
  • 0046-1520 (ISSN-L)
  • 1532-6985
OpenAlex
W2942725897
Cited by
309
References
69
FWCI
33.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Emotion Regulation in Achievement Situations: An Integrated Model. https://app.cochat.ai/papers/10.1080/00461520.2019.1587297
The paper
Harley, J. M., Pekrun, R., Taxer, J. L., & Gross, J. J. (2019). Emotion Regulation in Achievement Situations: An Integrated Model. Educational Psychologist. https://doi.org/10.1080/00461520.2019.1587297

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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.