Conference item
The interplay between self-evaluation, goal orientation, and self-efficacy on performance and learning
- Abstract:
- Objective Self-awareness Theory (Duval and Wicklund, 1972) proposes that self-evaluation increases an individual’s awareness of any discrepancy between their current performance and an internal goal. In the current study we prompted self-evaluation throughout an intelligence test (Analysis-Synthesis Test – AST) using confidence ratings (CR). AST performance, the extent to which participants incidentally learnt task-relevant rules (learning rules was unnecessary because they were provided), self-efficacy, and goals, were assessed. The results indicated an effect of performing CR on both performance and rule learning, but the effect depended on self-efficacy. Compared to matched controls (n=45), participants who performed CR (n=41) and had high self-efficacy performed better on the AST but learnt fewer rules. Performing CR had no effect on participants low in self-efficacy. This suggests that selfevaluation interacts with self-efficacy to modify participants’ goals, specifically CR appear to shift individuals high in self-efficacy from a mastery goal to a performance goal
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 267.2KB, Terms of use)
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Authors
- Publisher:
- Cognitive Science Society
- Host title:
- Proceedings of the 39th Annual Conference of the Cognitive Science Society, London, July 26 - July 29th, 2017
- Journal:
- CogSci 2017: London, July 26 – July 29th, 2017 More from this journal
- Pages:
- 1943-1948
- Publication date:
- 2017-07-01
- Acceptance date:
- 2017-04-12
- ISBN:
- 9780991196760
- Pubs id:
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pubs:864401
- UUID:
-
uuid:833c0d03-cc2d-4e67-8dcd-60fa001892b0
- Local pid:
-
pubs:864401
- Source identifiers:
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864401
- Deposit date:
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2018-07-04
- ARK identifier:
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- Copyright holder:
- © Cognitive Science Society
- Copyright date:
- 2017
- Notes:
- This is the publisher's version of the article. The final version is available online from Cognitive Science Society at: https://mindmodeling.org/cogsci2017/
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