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Enregistrement W222945788

The International Experience: What U.S. Schools Can and Cannot Learn from Other Countries

2012· article· en· W222945788 sur OpenAlexaboutno aff
Carlos X. Lastra‐Anadón, Paul E. Peterson

Notice bibliographique

RevueEducation next · 2012
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSchool Choice and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPoliticsCopyingReading (process)Political scienceMathematics educationSociologyPedagogyPsychologyLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Undoubtedly, the United States has much to learn from education systems in other countries. Once the world's education leader, the U.S. has seen the percentage of its high-school students who are proficient trail that of 31 other countries in math and 16 countries in reading, according to a recent study by Harvard's Program on Education Policy and Governance (PEPG) (see Are U.S. Students Ready to Compete? features, Fall 2011). Whereas only 32 percent of U.S. 8th graders are proficient in math, 50 percent of Canadian students and nearly 60 percent of Korean and Finnish students perform at that level. It may be misleading to point out that 75 percent of Shanghai's students are proficient, as that Chinese province is the nation's most advanced, but in Massachusetts, the highest-achieving of the states, only 51 percent of the students are proficient in math. Given these performance disparities, it is only natural to think that there is something to be learned from practices elsewhere. Yet it is not easy to figure out what institutions and practices will translate into a different cultural milieu or how to do it. In the larger world of governmental constitutions, efforts to insert U.S. arrangements into distant political cultures have failed more often than not. Much the same could hap pen in reverse if the United States attempted to fix its schools simply by copying something that seems to work elsewhere. It is tempting to undertake an in-depth study of those places that are performing at the highest levels--China's Shanghai province, Korea, Finland, Singapore, Japan, the Netherlands, and Canada, for example. But a proper comparison requires that one contrast what successful countries do with the mistakes made by the less successful ones. International comparisons should look at information from all countries and adjust for factors that affect student performance, even though such rigorous studies typically face their own challenges, including collecting the requisite data. Moreover, countries are different across so many dimensions (from the political system to the cultural prestige of the teaching profession) that it is typically difficult to attribute differences between countries to any specific factors. For these reasons, learning from international experience can be a bit like reading tea leaves: People are tempted to see in the patterns whatever they think they should see. But for all the hazards associated with drawing on international experience, the greatest risk lies in ignoring such information altogether. Steadfastly insisting that the United States is unique and that nothing is to be learned from other lands might appeal to those on the campaign trail. But it is a perilous course of action for those who wish to understand--and improve--the state of American education. If nothing else, reflection on international experience encourages one to think more carefully about practices and proposals at home. It is not so much specific answers that come from conversing with educators from around the world, as it is gaining some intellectual humility. Such conversations provide opportunities to learn the multiple ways in which common questions are posed and answered, and to consider how policies that have proved successful elsewhere might be adapted to the unique context of U.S. education. That, perhaps, is the signal contribution of the August 2011 conference on Learning from the International Experience, sponsored by Harvard's Program on Education Policy and Governance. Many who attended said the conference had sparked conversations well beyond the usual boundaries on thinking about U.S. education policy, whether the issue was teacher reforms, school choice, the development of common standards and school accountability, or the promise of learning online. Need to Take Action The conference opened with an urgent call from U.S. Deputy Secretary of Education Anthony Miller that action be taken. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut 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: aucune
Score de désaccord entre enseignants0,040
Score d'incertitude au seuil0,079

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,005
Études des sciences et des technologies0,0150,009
Communication savante0,0190,020
Science ouverte0,0010,010
Intégrité de la recherche0,0030,008
Charge utile insuffisante (le modèle a refusé de juger)0,0200,002

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 Opus0,034
Tête enseignante GPT0,347
Écart entre enseignants0,313 · 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 source (Gemma direct ou Codex distillé), 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
Publié2012
Routes d'admission1
Résumé présentoui

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