Metacognitive knowledge about self-control.

Belief Metacognitive knowledge Self-control Self-knowledge Self-regulatory strategies Task knowledge strategy knowledge

Journal

Current opinion in psychology
ISSN: 2352-2518
Titre abrégé: Curr Opin Psychol
Pays: Netherlands
ID NLM: 101649136

Informations de publication

Date de publication:
08 Aug 2024
Historique:
received: 06 07 2024
revised: 04 08 2024
accepted: 05 08 2024
medline: 18 8 2024
pubmed: 18 8 2024
entrez: 17 8 2024
Statut: aheadofprint

Résumé

Good self-control is highly valuable, but the processes that promote it are not fully understood. This review emphasizes that self-control is "inherently metacognitive" (p. 204, Duckworth et al., 2014) and describes the potential benefits of metacognitive knowledge for self-control. In line with research on metacognition in academic goal pursuit, we elaborate how three distinct types of metacognitive knowledge may aid self-control: strategy knowledge (for example, a repertoire of self-regulatory strategies), task knowledge (for example, understanding self-control demands), and person knowledge (for example, awareness of one's self-control strengths and weaknesses). Additionally, we identify research gaps and suggest that future studies should investigate the development and updating of metacognitive knowledge about self-control and how metacognitive knowledge can prevent individuals from justifying indulgence.

Identifiants

pubmed: 39153413
pii: S2352-250X(24)00074-5
doi: 10.1016/j.copsyc.2024.101861
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101861

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Marie Hennecke (M)

Department of Psychology, Ruhr-University Bochum, Germany. Electronic address: marie.hennecke@rub.de.

Pooja Kulkarni (P)

National Institute of Advanced Studies, Bengaluru, India. Electronic address: poojakulkarni780@gmail.com.

Classifications MeSH