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Is the Sky the Limit to Education Improvement? Comparing Your School to a Neighboring School Is No Longer Sufficient; You Must Compare Your School, Your District, and Your Country to the Best Performers in the World

2011· article· en· W324298873 sur OpenAlex

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Notice bibliographique

RevuePhi Delta Kappan · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEducation in Diverse Contexts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPaceDisadvantagedEducation policyMathematics educationEconomic growthBest practicePolitical scienceEconomicsHigher educationPsychologyManagementGeography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the global economy, where all work that can be automated, digitized, or outsourced can now be done anywhere by the people best qualified to do it, national standards are no longer the yardstick for measuring education success. Instead, the new metric is the best-performing education systems internationally. By showing what's possible in education, the best-performing systems can: * Demonstrate how to optimize policies and help countries consider alternatives to existing policies and practices. For example, the Program for International Student Assessment (PISA) shows Canadian 15-year-olds, on average, to be almost a school year ahead of American 15-year-olds in key subjects such as mathematics or science. PISA results also show that socio economically disadvantaged Canadians are much less at risk of poor educational performance than similar U.S. students. * Help countries set measurable goals by viewing what's been achieved by other systems and help identify policy levers and establish trajectories for reform. * Help gauge the pace of education progress and review the reality of education delivery. For example, Portugal, Poland, Israel, and Chile raised the performance of their 15-year-olds in PISA reading by the equivalent of between half and a full school year in less than a decade. * Support the political economy of education reform, which is a major issue in education where any payoff to reform almost inevitably accrues to successive governments if not generations. So, where does the U.S. stand in comparison with the principal industrialized countries, and what policy levers for education improvement emerge from international comparisons and transcend economic and cultural settings? U.S. IS LOSING ITS ADVANTAGE Among the 30 OECD countries with the largest expansion of college education over the last decades, most still see rising earnings differentials for college graduates, suggesting that having more knowledge workers doesn't necessarily lead to lower pay as is the case for low-skilled workers (OECD, 2010b). The other player in globalization is technological development, but this also depends on education. Tomorrow's knowledge workers and innovators require high levels of education, and a highly educated workforce is a prerequisite for adopting and absorbing new technologies and increasing productivity. Together, skills and technology have flattened the world. That means that all work that can be digitized, automated, and outsourced can now be done by the most effective and competitive individuals, enterprises, or countries--wherever they are. But no country has been able to capitalize on the opportunities of this flat world more than the U.S. The United States can draw on the most educated labor force among the principal industrialized nations, at least when measured by formal qualifications. However, this advantage accrues largely because of the first-mover advantage, which the U.S. gained after World War II by massively increasing enrollments. That advantage is now eroding quickly as more countries reach and surpass U.S. qualification levels. In fact, many countries are now close to ensuring that virtually all young adults have at least a high school diploma (OECD average 80%). OECD calls that a baseline qualification for reasonable earnings and employment prospects. Over time, this will translate into better workforce qualifications in these countries. In contrast, the U.S. stood still on this measure (76%). Among OECD countries, only Turkey, Mexico, Chile, Luxembourg, and Spain now have lower high school completion rates than the U.S. Two generations ago, South Korea had the economic output of Afghanistan today and ranked 24th in education output among today's OECD countries. Today, 98% of an age cohort obtain a high school diploma. In college education, the U.S. slipped from 2nd position in 1995 to 14th position in 2009--not because U. …

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 candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,248
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0030,000
Communication savante0,0010,001
Science ouverte0,0030,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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 Opus0,096
Tête enseignante GPT0,348
Écart entre enseignants0,252 · 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