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Enregistrement W4387601274 · doi:10.1080/17408989.2023.2269959

Opinions on grading and difficulties encountered by physical education and health teachers in relation to assessment

2023· article· en· W4387601274 sur OpenAlexaffabout
David Bezeau, Jonathan R. Chevrier, Maïa Savard

Notice bibliographique

RevuePhysical Education and Sport Pedagogy · 2023
Typearticle
Langueen
DomaineHealth Professions
ThématiquePhysical Education and Pedagogy
Établissements canadiensUniversité LavalUniversité de Sherbrooke
Organismes subventionnairesnon disponible
Mots-clésPhysical educationGrading (engineering)NorwegianPedagogyPsychologyHigher educationMedical educationSociologyMedicinePolitical scienceEngineeringLaw

Résumé

récupéré en direct d'OpenAlex

Background: Assessment plays a key role in quality physical education and health [PEH; Leirhaug and Annerstedt (2016. “Assessing with New Eyes? Assessment for Learning in Norwegian Physical Education.” Physical Education and Sport Pedagogy 21 (6): 616–631. https://doi.org/10.1080/17408989.2015.1095871)]. López-Pastor et al. (2013. “Alternative Assessment in Physical Education: A Review of International Literature.” Sport Education and Society 18 (1): 57–76. https://doi.org/10.1080/13573322.2012.713860) identify assessment as ‘one of the most fraught and troublesome issues physical educators have had to deal with over the past 40 years or so’ (57). Three main issues emerged from studies conducted in the last 15 years on PEH teachers’ assessment practices: (1) a lack of consistency between what is taught and what is assessed [Borghouts et al. (2016. “Assessment Quality and Practices in Secondary PE in the Netherlands.” Physical Education and Sport Pedagogy 22 (5): 473–489. https://doi.org/10.1080/17408989.2016.1241226); Svennberg et al. (2018. “Swedish PE Teachers Struggle with Assessment in a Criterion-Referenced Grading System.” Sport, Education and Society 23 (4): 381–393. https://doi.org/10.1080/13573322.2016.1200025); Williams et al. (2020. “‘I Think Everyone Is on Board with Changing How We Do Things, But We Are Yet to Find a Best Fit Model’: A Figurational Study of Assessing Games and Sport in Physical Education.” Sport, Education and Society 26 (3): 253–266. https://doi.org/10.1080/13573322.2020.1716212)); (2) a lack of knowledge among PEH teachers regarding assessment[(Borghouts et al. (2016. “Assessment Quality and Practices in Secondary PE in the Netherlands.” Physical Education and Sport Pedagogy 22 (5): 473–489. https://doi.org/10.1080/17408989.2016.1241226); Williams et al. (2020. “‘I Think Everyone Is on Board with Changing How We Do Things, But We Are Yet to Find a Best Fit Model’: A Figurational Study of Assessing Games and Sport in Physical Education.” Sport, Education and Society 26 (3): 253–266. https://doi.org/10.1080/13573322.2020.1716212)] and (3) the often intuitive and subjective nature of assessment [Borghouts et al. (2016. “Assessment Quality and Practices in Secondary PE in the Netherlands.” Physical Education and Sport Pedagogy 22 (5): 473–489. https://doi.org/10.1080/17408989.2016.1241226); Dinan-Thompson and Penney (2015. “Assessment Literacy in Primary Physical Education.” European Physical Education Review 21 (4): 485–503. https://doi.org/10.1177/1356336X15584087)].Objectives: This article aims to describe: (1) the main difficulties encountered by PEH teachers regarding their assessment practices and (2) their opinions of the grading process in PEH.Method: An exploratory sequential mixed-method research design [Creswell (2014. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 4th ed. Thousand Oaks, CA: SAGE Publications] was used with PEH teachers to meet the objectives of this study. The first phase of the research, the qualitative phase, consisted of a 45-min semi-structured individual interview (n = 11) followed by a 60-min interview with the double [n = 10; Brau-Antony et al. (2014. “Curriculum en Éducation Physique et Sportive et évaluation certificative au baccalauréat.” Questions Vives 22:1–16. https://doi.org/10.4000/questionsvives.1596)]. The inductive content analyses [Creswell (2014. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 4th ed. Thousand Oaks, CA: SAGE Publications); L’Écuyer (1990. Méthodologie de l’analyse développementale de contenu: Méthode GPS et concept de soi. Québec: Presses de l’Université du Québec)] of these two interviews allowed us to develop the questionnaire used in the second phase of the research, the quantitative phase (n = 164). The data were exported into IBM SPSS statistics Version 27 software to make descriptive analyses (frequencies and means) and advanced statistical analyses (Chi-square test, Kruskall–Wallis test and two-tailed Kendall's Tau-B test).Findings: Three main difficulties to asessing in PEH are identified by teachers: (1) assessing in health education; (2) unclear ministerial expectations for assessment and (3) the cumbersome competency assessment process. Advanced statistical analyses also show that early-career teachers experience more difficulties. Two main opinions about grading also emerge from the data: (1) grading in PEH allows to see the progress of the students and (2) the lack of guidelines for grading makes it very subjective.Conclusion: In conclusion, this study contributes to existing knowledge about assessment in PEH from several perspectives. From a pre-service perspective, it seems imperative to address assessment with its challenges so that early-career teachers can adequately define their conception of assessment and its purposes. From a governmental and political perspective, it would be relevant for teachers to have clear guidelines for assessment. Finally, from a research perspective and to contribute to the improvement of assessment processes, we claim that there is an important need for future action research, which is to establish collaborations with PEH teachers to develop and experiment with simple and effective strategies to respond to certain difficulties arising from our results.

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 enseignants0,713
Score d'incertitude au seuil0,858

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 recherche0,0000,001
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 Opus0,089
Tête enseignante GPT0,538
Écart entre enseignants0,449 · 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

Citations1
Publié2023
Routes d'admission2
Résumé présentoui

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