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Cited by 295

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

The Teaching and Learning of Decision Making in Team Sports

Gréhaigne, Jean-Francis, Godbout, Paul, Bouthier, Daniel·2001·Quest

Abstract

In team sports, playing well means choosing the right course of action at the right moment and performing that course of action efficiently and consistently throughout the match. Research on decision making in sports indicates that although experts make more accurate decisions based on earlier occurring information, they tend to have speed, rather than accuracy, context-specific advantage in decision making. In light of the key notion of configuration of play, elements underlying its perception and interpretation and the ensuing anticipation and decision making are discussed. In connection with teachinglearning settings, observation and verbalization are presented as key strategies for eliciting critical thinking and the development of strategic and tactical knowledge. Finally, the authors present a dynamic model exploiting (a) action settings. (b) observation settings, and (c) debate-of-idea settings for the ultimate goal of conshucting strategic and tactical knowledge in team sports.

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Crossref · 10.1080/00336297.2001.10491730

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Metadata

Authors
Gréhaigne, J.-F., Godbout, P., & Bouthier, D.
Venue
Quest
Published
2001-02
Volume
53
Issue
1
Pages
59-76
ISSN
  • 0033-6297 (ISSN-L)
  • 1543-2750
OpenAlex
W2073585797
Cited by
295
References
20
FWCI
5.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Teaching and Learning of Decision Making in Team Sports. https://app.cochat.ai/papers/10.1080/00336297.2001.10491730
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Gréhaigne, J.-F., Godbout, P., & Bouthier, D. (2001). The Teaching and Learning of Decision Making in Team Sports. Quest. https://doi.org/10.1080/00336297.2001.10491730

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.