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Enregistrement W1990170176 · doi:10.1177/003172170708900204

Learning from the World: Achieving More by Doing Less

2007· article· en· W1990170176 sur OpenAlexaboutno aff
Lawrence Baines

Notice bibliographique

RevuePhi Delta Kappan · 2007
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueParental Involvement in Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTest (biology)Mathematics educationStandardized testAchievement testDeveloping countryIdeal (ethics)Political sciencePsychologyPublic relationsEconomic growthSociologyEconomicsLaw

Résumé

récupéré en direct d'OpenAlex

Countries that score higher in international comparisons than does the U.S. also require less time in school, assign less homework, and use less high-tech gadgetry. Mr. Baines argues that maybe it is time we learned from them. AT THIS moment, in school districts throughout the United States, initiatives are being launched to extend the school day, increase homework, integrate technology, and require more high-stakes testing. The assumption underlying these initiatives is that more and more--more time in school, more homework, more technology, and more high-stakes testing--will produce smarter, better-prepared students who, in turn, will help guide the nation through the tumultuous and uncertain 21st century. To realize the ideal of an educated, productive citizenry, however, many countries around the world are employing radically different approaches. Instead of executing a strategy of more and more, some countries have decided to educate their young people by doing less. Because the test scores of students from these countries routinely eclipse the scores posted by American students in two international comparisons of student achievement--Trends in International Math and Science Study (TIMSS) and Programme of International Student Achievement (PISA)--an investigation of educational practices in higher-achieving countries might prove instructive. Four areas where the policy and practice in high-achieving countries run counter to current practice and policy in the U.S. are as follows: 1) time spent at school, 2) homework, 3) technology, and 4) schools as agents of social change. TIME SPENT IN SCHOOL Students in public schools in most countries in Western Europe, Canada, Mexico, Korea, Japan, and Singapore--all members of the Organisation for Economic Co-operation and Development (OECD)--spend an average of 701 hours per year in school. In Finland, where students have scored near the top in international comparisons of achievement for a number of years, students spend only 600 hours in school. In the United States, by contrast, children go to school for six or more hours per day, five days per week, for approximately 185 days spread over a period of nine or 10 months. The average time spent at school in the U.S. totals over 1,100 hours, almost double that of children in Finland. By the time children reach the age of 14 in Finland, they will have gone to school for 2,500 fewer hours than students in America (the equivalent of two to four years of schooling). Despite much longer school days, American students routinely score 10% to 20% lower than Finnish students on international tests of achievement. Experimental studies have repeatedly found no correlation between time spent at school and levels of achievement. (1) Of course, as any teacher in American public schools can attest, time at school is often wasted on performing nonteaching tasks, organizing paperwork, maintaining discipline, and keeping students busy. Some of the more prestigious private secondary schools in America schedule classes in the fashion of universities -- 90-minute periods that meet twice each week, with one day a week set aside for advising and one-on-one tutoring. If such a schedule were adopted in public high schools, for example, total instructional hours in America would drop sharply. But such a transformation would mean a departure from the traditional schedule and a retreat from the daily array of professional development opportunities such as hall duty, lunch supervision, bus detail, parking lot patrol, and detention hall supervision. HOMEWORK As with instructional hours spent in school, America also leads the world in assigning homework--a whopping 140 minutes per week in mathematics for secondary students. Despite this extra workload, American students are renowned for posting mediocre scores on math tests. For example, the average score for an eighth-grade American student on the mathematics portion of the TIMSS in 2003 was 502. …

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)0,007
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0080,022
Communication savante0,0130,018
Science ouverte0,0010,012
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0080,003

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 Opus0,057
Tête enseignante GPT0,363
Écart entre enseignants0,306 · 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'étudeThéorique ou conceptuel
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

Citations15
Publié2007
Routes d'admission1
Résumé présentoui

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