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Exploration and analysis of the interactions between physical literacy domains in school contexts

2025· dissertation· en· W7112987620 sur OpenAlexaboutno aff

Notice bibliographique

RevueRepository of Digital Objects for Teaching Research and Culture (University of Valencia) · 2025
Typedissertation
Langueen
DomainePsychology
ThématiqueChildren's Physical and Motor Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCognitionCompetence (human resources)Construct (python library)LiteracyMotor skillProtocol analysisCognitive developmentAffect (linguistics)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Physical Literacy (PL) has become consolidated over the past decade as a key construct for understanding comprehensive child development, by integrating physical, cognitive, psychological, and social dimensions. From a holistic perspective, PL is not limited to the acquisition of motor skills, but encompasses motivational, emotional, social, and cognitive aspects that directly influence active participation in movement contexts and, by extension, in students’ global development. Within this framework, the main objective of this doctoral thesis is to analyze the interaction between the different domains that constitute PL and their relationship with relevant educational variables, such as cognitive and academic performance, in real school settings. The thesis is structured around three complementary empirical studies, designed to advance the theoretical and applied understanding of PL and its connection with learning. The first study addresses a major methodological gap identified in the literature: the lack of tools that enable the simultaneous assessment of motor competence (MC) and cognitive performance in ecological conditions. To address this limitation, an innovative instrument was designed and validated based on the dual-task paradigm, adapting the Canadian Agility and Movement Skill Assessment (CAMSA) to include cognitive demands. This new test, called the Cognitive CAMSA (CAMSA-C), makes it possible to observe students’ joint performance when simultaneously facing motor and cognitive demands. The results show a significant decrease in motor performance under dual-task conditions (e.g., execution time and total score), compared to the single-task motor condition. Additionally, differentiated student profiles with varying performance patterns were identified, demonstrating that cognitive interference does not affect all students equally. While some maintain stable performance across conditions, others show improvements or declines depending on the nature of the task. These conclusions reinforce the value of CAMSA-C as a tool for integrated assessment of MC and cognitive performance, with strong potential for tailoring educational interventions to students’ specific performance profiles. The second study adopts a person-centered approach with the aim of identifying PL profiles among primary school students. Based on representative variables from the physical (e.g., MC, cardiorespiratory fitness [CRF]), psychological (e.g., perception of MC, perceived PL), and social (e.g., social identity, perceived social support) domains, six distinct profiles were identified using cluster analysis. These profiles were subsequently analyzed in relation to academic and cognitive performance. The results show that students with more balanced profiles—characterized by high levels across all three domains—also achieve better school performance (i.e., academic grades) and cognitive outcomes (i.e., math fluency and Stroop test performance). Conversely, students with lower levels in these domains presented the weakest cognitive outcomes, highlighting the combined influence of these factors on children’s development. This approach provides a richer and more complex understanding of development and reinforces the explanatory value of PL as a multidimensional construct that goes beyond fragmented views of physical and cognitive domains. The third study focuses on the psychological and motivational mechanisms that may mediate the relationship between MC, CRF and academic performance. A multiple mediation model was proposed and tested, incorporating variables such as self-determined motivation for physical activity, perceived MC, perceived physical fitness, academic self-perception, and perceived PL. The results confirm that both perceived PL and academic self-perception play a key mediating role in this relationship, explaining how physical capacities translate into better school outcomes through processes of self-perception and motivation. Additionally, the study examines the predictive role of physical activity. It was observed that its influence varies depending on the type of measurement used: self-reported physical activity predicts academic performance only when MC acts as the first mediator, while objectively measured moderate-to-vigorous physical activity predicts performance only when CRF occupies that position. These findings suggest differentiated pathways of influence, in which perceived physical activity reflects qualitative aspects related to self-perception and activity diversity, whereas objectively measured physical activity reflects effort intensity and duration, more closely related to physiological adaptations. Overall, this thesis provides robust, rigorous, and up-to-date empirical evidence on the explanatory value of PL in school contexts. The findings from the three studies highlight the need to adopt an interdisciplinary perspective that integrates physical, cognitive, psychological, and social factors involved in child development and learning. Furthermore, they position PL as a valuable conceptual and practical framework for designing more inclusive and contextualized educational interventions aimed not only at improving MC, but also at promoting students’ emotional well-being, motivation, and academic success throughout their schooling years.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,792
Score d'incertitude au seuil0,448

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,341
Écart entre enseignants0,315 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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