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Enregistrement W255866508

Lost Opportunity: Increased Economic Growth, Fueled by Improvements in Student Performance, Might Have Funded the Nation's Entire K-12 Education Budget by Now. (Feature)

2003· article· en· W255866508 sur OpenAlexaboutno aff
Eric A. Hanushek

Notice bibliographique

RevueEducation next · 2003
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSchool Choice and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEarningsEconomic growthQuarter (Canadian coin)EconomicsQuality (philosophy)Natural experimentDemographic economicsPolitical scienceAccountingGeography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

THE CONCERNS ABOUT SCHOOL QUALITY EXPRESSED IN A Nation at Risk reflected declining trends in performance among U.S. students and their mediocre standing relative to students in other nations. America's failure to address these concerns has led to substantial losses for individuals and for society as a whole. The workers who failed to acquire essential skills can attest to the fact that their earnings have not kept up with those of the typical worker. And the aggregate effects are even more dramatic. By some estimates, today's entire K-12 education budget could be funded by the reform dividend that might have been expected from improving math and science achievement in response to the calls of the 1983 report. To wit, improvements in the schools would have boosted U.S. economic growth, and the annual windfall by 2002 would have exceeded total K-12 spending for that year. Quality Matters Much of the research on the economic impact of education has properly concentrated on the role of school attainment--that is, the quantity of schooling. This focus is natural. The revolution in the United States during the 20th century was the universal provision of a basic education. Moreover, years of schooling are easily measured, and data on years attained, both over time and across individuals, are readily available. Yet today's policy concerns revolve around issues of quality much more than of quantity. Completion rates for high school and college have been roughly constant for a quarter of a century in the United States, while the rest of the industrialized world has largely caught up on measures of school attainment. Risk was more concerned with the fact that U.S. students had fallen behind their peers in nations like Japan, the Netherlands, and France on international exams in math and science (see Figure 4, page 44, in Paul E. Peterson, Ticket to Nowhere). These concerns sparked the standards and accountability movement, which seeks to define what students should learn and tests to see whether they have mastered the material. In good part because of the impact of the Risk report, it is now generally recognized that students' cognitive skills are a crucial dimension of education quality. But it has not, until recently, been clear just how important differences in cognitive skill are for the long-term well-being of a nation's economy. Fortunately, data are now available that allow one to estimate the connection between cognitive skill and the economy. The conclusions of this emerging body of research are clear: education quality, as measured by test scores, is positively related to the earnings of individuals, national productivity, and economic growth. Individual Earnings Just as most parents believe, economists have clearly shown that a student's achievement in school directly affects his or her earnings later in life, after allowing for differences in the quantity of schooling, experience in the labor force, and a variety of other factors that also influence earnings. Students who do well in school also tend to go on for further schooling, which provides an additional boost to their earnings. As is well known, the economic benefits of a college education have risen dramatically during the past quarter century, and substantial evidence shows that students with good grades or high scores on achievement tests tend to pursue more education. These facts are part of the reason that so much attention has been paid to the schools as an agency of equal opportunity, ultimately helping to reduce inequities in the distribution of income. Long before the Risk report, the War on Poverty saw schools as key to reducing racial and other disparities in economic opportunity. Through schooling it was hoped that family poverty would not be transferred to the next generation: high-quality school investments would make up for deficits originating in the home. Today, many believe that the continuing difference between the earnings of black and white workers is due in good part to differences in their educational achievement, as measured by tests of cognitive ability. …

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,160
Score d'incertitude au seuil0,535

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0020,001
Communication savante0,0060,005
Science ouverte0,0010,002
Intégrité de la recherche0,0050,003
Charge utile insuffisante (le modèle a refusé de juger)0,1600,060

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 Opus0,019
Tête enseignante GPT0,302
Écart entre enseignants0,282 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2003
Routes d'admission1
Résumé présentoui

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