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Record W1990170176 · doi:10.1177/003172170708900204

Learning from the World: Achieving More by Doing Less

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

Bibliographic record

VenuePhi Delta Kappan · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Mathematics educationStandardized testAchievement testDeveloping countryIdeal (ethics)Political sciencePsychologyPublic relationsEconomic growthSociologyEconomicsLaw

Abstract

fetched live from 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. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.013
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.022
Scholarly communication0.0130.018
Open science0.0010.012
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0080.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.363
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2007
Admission routes1
Has abstractyes

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