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Enregistrement W2271312795 · doi:10.1177/016146811511700102

Cautions about Inferences from International Assessments: The Case of PISA 2009

2015· article· en· W2271312795 sur OpenAlex

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affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueTeachers College Record The Voice of Scholarship in Education · 2015
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSchool Choice and Performance
Établissements canadiensUniversity of VictoriaUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)Ranking (information retrieval)Graduation (instrument)JurisdictionScale (ratio)International comparisonsHigher educationReading (process)LiteracyPopulationPolitical sciencePsychologyEconomic growthGeographySociologyPedagogyEconomicsComputer scienceDemography

Résumé

récupéré en direct d'OpenAlex

Background/Context Two key uses of international assessments of achievement have been (a) comparing country performances for identifying the countries with the best education systems and (b) generating insights about effective policy and practice strategies that are associated with higher learning outcomes. Do country rankings really reflect the quality of education in different countries? What are the fallacies of simply looking to higher performing countries to identify strategies for improving learning in our own countries? Purpose In this article we caution against (a) using country rankings as indicators of better education and (b) using correlates of higher performance in high ranking countries as a way of identifying strategies for improving education in our home countries. We elaborate on these cautions by discussing methodological limitations and by comparing five countries that scored very differently on the reading literacy scale of the 2009 PISA assessment. Population We use PISA 2009 reading assessment for five countries/jurisdictions as examples to elaborate on the problems with interpretation of international assessments: Canada, Shanghai-China, Germany, Turkey, and the US, i.e., countries from three continents that span the spectrum of high, average, and low ranking countries and jurisdictions. Research Design Using the five jurisdiction data in an exemplary fashion, our analyses focus on the interpretation of country rankings and correlates of reading performance within countries. We first examine the profiles of these jurisdictions with respect to high school graduation rates, school climate, student attitudes and disciplinary climate and how these variables are related to reading performance rankings. We then examine the extent to which two predictors of reading performance, reading enjoyment and out of school enrichment activities, may be responsible for higher performance levels. Conclusions This article highlights the importance of establishing comparability of test scores and data across jurisdictions as the first step in making international comparisons based on international assessments such as PISA. When it comes to interpreting jurisdiction rankings in international assessments, researchers need to be aware that there is a variegated and complex picture of the relations between reading achievement ranking and rankings on a number of factors that one might think to be related individually or in combination to quality of education. This makes it highly questionable to use reading score rankings as a criterion for adopting educational policies and practices of other jurisdictions. Furthermore, reading scores vary greatly for different student sub-populations within a jurisdiction – e.g., gender, language, and cultural groups – that are all part of the same education system in a given jurisdiction. Identifying effective strategies for improving education using correlates of achievement in high performing countries should be also done with caution. Our analyses present evidence that two factors, reading enjoyment and out of school enrichment activities, cannot be considered solely responsible for higher performance levels. The analyses suggests that the PISA 2009 results are variegated with regards to attitudes towards reading and out-of-school learning experience, rather than exhibiting clear differences that might explain the different performances among the five jurisdictions.

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.

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)0,003
score de la tête « metaresearch » (Gemma)0,001
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,388
Score d'incertitude au seuil0,958

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
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 Opus0,074
Tête enseignante GPT0,406
Écart entre enseignants0,332 · 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