Programme for International Student Assessment (2000 to 2012)
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The Programme for International Student Assessment has had several runs before the most recent one in 2012. The first PISA assessment was carried out in 2000. The results of each period of assessment take about one year and a half to be analysed. First results were published in November 2001. The release of raw data and the publication of technical report and data handbook only took place in spring 2002. The triennial repeats follow a similar schedule; the process of seeing through a single PISA cycle, start-to-finish, always takes over four years. 470,000 15-year-old students representing 65 nations and territories participated in PISA 2009. An additional 50,000 students representing nine nations were tested in 2010.
Every period of assessment focuses on one of the three competence fields of reading, math, science; but the two others are tested as well. After nine years, a full cycle is completed: after 2000, reading was again the main domain in 2009.
| Period | Focus | OECD countries | Partner countries | Participating students | Notes |
|---|---|---|---|---|---|
| 2000 | Reading | 28 | 4 + 11 | 265,000 | The Netherlands disqualified from data analysis. 11 additional non-OECD countries took the test in 2002. |
| 2003 | Mathematics | 30 | 11 | 275,000 | UK disqualified from data analysis. Also included test in problem solving. |
| 2006 | Science | 30 | 27 | 400,000 | Reading scores for US excluded from analysis due to misprint in testing materials. |
| 2009 | Reading | 34 | 41 + 10 | 470,000 | 10 additional non-OECD countries took the test in 2010. |
| 2012 | Mathematics | 34 | 31 | 510,000 |
Results
PISA 2012
| PISA 2012 | ||
|---|---|---|
| The results for the 2012 "Maths" section on a world map. The results for the 2012 "Science" section on a world map. The results for the 2012 "Reading" section on a world map. OECD members as of the time of the study are in boldface. Mathematics Science Reading 1 China Shanghai, China 613 2 Singapore 573 3 Hong Kong, China 561 4 Taiwan 560 5 South Korea 554 6 Macau, China 538 7 Japan 536 8 Liechtenstein 535 9 Switzerland 531 10 Netherlands 523 11 Estonia 521 12 Finland 519 13= Canada 518 13= Poland 518 15 Belgium 515 16 Germany 514 17 Vietnam 511 18 Austria 506 19 Australia 504 20= Ireland 501 20= Slovenia 501 22= Denmark 500 22= New Zealand 500 24 Czech Republic 499 25 France 495 26 United Kingdom 494 27 Iceland 493 28 Latvia 491 29 Luxembourg 490 30 Norway 489 31 Portugal 487 32 Italy 485 33 Spain 484 34= Russia 482 34= Slovakia 482 36 United States 481 37 Lithuania 479 38 Sweden 478 39 Hungary 477 40 Croatia 471 41 Israel 466 42 Greece 453 43 Serbia 449 44 Turkey 448 45 Romania 445 46 Cyprus 440 47 Bulgaria 439 48 United Arab Emirates 434 49 Kazakhstan 432 50 Thailand 427 51 Chile 423 52 Malaysia 421 53 Mexico 413 54 Montenegro 410 55 Uruguay 409 56 Costa Rica 407 57 Albania 394 58 Brazil 391 59= Argentina 388 59= Tunisia 388 61 Jordan 386 62= Colombia 376 62= Qatar 376 64 Indonesia 375 65 Peru 368 1 China Shanghai, China 580 2 Hong Kong, China 555 3 Singapore 551 4 Japan 547 5 Finland 545 6 Estonia 541 7 South Korea 538 8 Vietnam 528 9 Poland 526 10= Liechtenstein 525 10= Canada 525 12 Germany 524 13 Taiwan 523 14= Netherlands 522 14= Ireland 522 16= Macau, China 521 16= Australia 521 18 New Zealand 516 19 Switzerland 515 20= Slovenia 514 20= United Kingdom 514 22 Czech Republic 508 23 Austria 506 24 Belgium 505 25 Latvia 502 26 France 499 27 Denmark 498 28 United States 497 29= Spain 496 29= Lithuania 496 31 Norway 495 32= Italy 494 32= Hungary 494 34= Luxembourg 491 34= Croatia 491 36 Portugal 489 37 Russia 486 38 Sweden 485 39 Iceland 478 40 Slovakia 471 41 Israel 470 42 Greece 467 43 Turkey 463 44 United Arab Emirates 448 45 Bulgaria 446 46= Serbia 445 46= Chile 445 48 Thailand 444 49 Romania 439 50 Cyprus 438 51 Costa Rica 429 52 Kazakhstan 425 53 Malaysia 420 54 Uruguay 416 55 Mexico 415 56 Montenegro 410 57 Jordan 409 58 Argentina 406 59 Brazil 405 60 Colombia 399 61 Tunisia 398 62 Albania 397 63 Qatar 384 64 Indonesia 382 65 Peru 373 1 China Shanghai, China 570 2 Hong Kong, China 545 3 Singapore 542 4 Japan 538 5 South Korea 536 6 Finland 524 7= Taiwan 523 7= Canada 523 7= Ireland 523 10 Poland 518 11= Liechtenstein 516 11= Estonia 516 13= Australia 512 13= New Zealand 512 15 Netherlands 511 16= Macau, China 509 16= Switzerland 509 16= Belgium 509 19= Germany 508 19= Vietnam 508 21 France 505 22 Norway 504 23 United Kingdom 499 24 United States 498 25 Denmark 496 26 Czech Republic 493 27= Austria 490 27= Italy 490 29 Latvia 489 30= Luxembourg 488 30= Portugal 488 30= Spain 488 30= Hungary 488 34 Israel 486 35 Croatia 485 36= Iceland 483 36= Sweden 483 38 Slovenia 481 39= Lithuania 477 39= Greece 477 41= Russia 475 41= Turkey 475 43 Slovakia 463 44 Cyprus 449 45 Serbia 446 46 United Arab Emirates 442 47= Thailand 441 47= Chile 441 47= Costa Rica 441 50 Romania 438 51 Bulgaria 436 52 Mexico 424 53 Montenegro 422 54 Uruguay 411 55 Brazil 410 56 Tunisia 404 57 Colombia 403 58 Jordan 399 59 Malaysia 398 60= Argentina 396 60= Indonesia 396 62 Albania 394 63 Kazakhstan 393 64 Qatar 388 65 Peru 384 PISA 2012 was presented on 3 December 2013, with results for around 510,000 participating students in all 34 OECD member countries and 31 partner countries. This testing cycle had a particular focus on mathematics, where the mean score was 494. A sample of 1,688 students from Puerto Rico took the assessment, scoring 379 in math, 404 in reading and 401 in science. A subgroup of 44 countries and economies with about 85 000 students also took part in an optional computer-based assessment of problem solving.Shanghai had the highest score in all three subjects. It was followed by Singapore, Hong Kong, Chinese Taipei and Korea in mathematics; Hong Kong, Singapore, Japan and Korea in reading and Hong Kong, Singapore, Japan and Finland in science.They were a sample of about 28 million in the same age group in 65 countries and economies, including the OECD countries, several Chinese cities, Vietnam, Indonesia and several countries in South America.The test lasted two hours, was paper-based and included both open-ended and multiple-choice questions.The students and school staff also answered a questionnaire to provide background information about the students and the schools.PISA 2012 was presented on 3 December 2013, with results for around 510,000 participating students in all 34 OECD member countries and 31 partner countries. This testing cycle had a particular focus on mathematics, where the mean score was 494. The mean score in reading was 496 and in science 501.[citation needed]The results show distinct groups of high-performers in mathematics: the East Asian countries, with Shanghai, scoring the best result of 613, followed closely by Hong Kong, Japan, Chinese Taipei and South Korea. Among the Europeans, Liechtenstein and Switzerland performed best, with Netherlands, Estonia, Finland, Poland, Belgium, Germany, Austria all posting mathematics scores "not significantly statistically different from" one another. The United Kingdom, Ireland, Australia and New Zealand were similarly clustered around the OECD average of 494, with the USA trailing this group at 481.Qatar, Kazakhstan and Malaysia were the countries which showed the greatest improvement in mathematics. The USA and the United Kingdom showed no significant change. Sweden had the greatest fall in mathematics performance over the last ten years, with a similar falling trend also in the two other subjects, and leading politicians in Sweden expressed great worry over the results.On average boys scored better than girls in mathematics, girls scored better than boys in reading and the two sexes had quite similar scores in science.Indonesia, Albania, Peru, Thailand and Colombia were the countries where most students reported being happy at school, while students in Korea, the Czech Republic, the Slovak Republic, Estonia and Finland reported least happiness. | ||
| Mathematics | Science | Reading |
| 1 China Shanghai, China 613 2 Singapore 573 3 Hong Kong, China 561 4 Taiwan 560 5 South Korea 554 6 Macau, China 538 7 Japan 536 8 Liechtenstein 535 9 Switzerland 531 10 Netherlands 523 11 Estonia 521 12 Finland 519 13= Canada 518 13= Poland 518 15 Belgium 515 16 Germany 514 17 Vietnam 511 18 Austria 506 19 Australia 504 20= Ireland 501 20= Slovenia 501 22= Denmark 500 22= New Zealand 500 24 Czech Republic 499 25 France 495 26 United Kingdom 494 27 Iceland 493 28 Latvia 491 29 Luxembourg 490 30 Norway 489 31 Portugal 487 32 Italy 485 33 Spain 484 34= Russia 482 34= Slovakia 482 36 United States 481 37 Lithuania 479 38 Sweden 478 39 Hungary 477 40 Croatia 471 41 Israel 466 42 Greece 453 43 Serbia 449 44 Turkey 448 45 Romania 445 46 Cyprus 440 47 Bulgaria 439 48 United Arab Emirates 434 49 Kazakhstan 432 50 Thailand 427 51 Chile 423 52 Malaysia 421 53 Mexico 413 54 Montenegro 410 55 Uruguay 409 56 Costa Rica 407 57 Albania 394 58 Brazil 391 59= Argentina 388 59= Tunisia 388 61 Jordan 386 62= Colombia 376 62= Qatar 376 64 Indonesia 375 65 Peru 368 | 1 China Shanghai, China 580 2 Hong Kong, China 555 3 Singapore 551 4 Japan 547 5 Finland 545 6 Estonia 541 7 South Korea 538 8 Vietnam 528 9 Poland 526 10= Liechtenstein 525 10= Canada 525 12 Germany 524 13 Taiwan 523 14= Netherlands 522 14= Ireland 522 16= Macau, China 521 16= Australia 521 18 New Zealand 516 19 Switzerland 515 20= Slovenia 514 20= United Kingdom 514 22 Czech Republic 508 23 Austria 506 24 Belgium 505 25 Latvia 502 26 France 499 27 Denmark 498 28 United States 497 29= Spain 496 29= Lithuania 496 31 Norway 495 32= Italy 494 32= Hungary 494 34= Luxembourg 491 34= Croatia 491 36 Portugal 489 37 Russia 486 38 Sweden 485 39 Iceland 478 40 Slovakia 471 41 Israel 470 42 Greece 467 43 Turkey 463 44 United Arab Emirates 448 45 Bulgaria 446 46= Serbia 445 46= Chile 445 48 Thailand 444 49 Romania 439 50 Cyprus 438 51 Costa Rica 429 52 Kazakhstan 425 53 Malaysia 420 54 Uruguay 416 55 Mexico 415 56 Montenegro 410 57 Jordan 409 58 Argentina 406 59 Brazil 405 60 Colombia 399 61 Tunisia 398 62 Albania 397 63 Qatar 384 64 Indonesia 382 65 Peru 373 | 1 China Shanghai, China 570 2 Hong Kong, China 545 3 Singapore 542 4 Japan 538 5 South Korea 536 6 Finland 524 7= Taiwan 523 7= Canada 523 7= Ireland 523 10 Poland 518 11= Liechtenstein 516 11= Estonia 516 13= Australia 512 13= New Zealand 512 15 Netherlands 511 16= Macau, China 509 16= Switzerland 509 16= Belgium 509 19= Germany 508 19= Vietnam 508 21 France 505 22 Norway 504 23 United Kingdom 499 24 United States 498 25 Denmark 496 26 Czech Republic 493 27= Austria 490 27= Italy 490 29 Latvia 489 30= Luxembourg 488 30= Portugal 488 30= Spain 488 30= Hungary 488 34 Israel 486 35 Croatia 485 36= Iceland 483 36= Sweden 483 38 Slovenia 481 39= Lithuania 477 39= Greece 477 41= Russia 475 41= Turkey 475 43 Slovakia 463 44 Cyprus 449 45 Serbia 446 46 United Arab Emirates 442 47= Thailand 441 47= Chile 441 47= Costa Rica 441 50 Romania 438 51 Bulgaria 436 52 Mexico 424 53 Montenegro 422 54 Uruguay 411 55 Brazil 410 56 Tunisia 404 57 Colombia 403 58 Jordan 399 59 Malaysia 398 60= Argentina 396 60= Indonesia 396 62 Albania 394 63 Kazakhstan 393 64 Qatar 388 65 Peru 384 |
| 1 | China Shanghai, China | 613 |
| 2 | Singapore | 573 |
| 3 | Hong Kong, China | 561 |
| 4 | Taiwan | 560 |
| 5 | South Korea | 554 |
| 6 | Macau, China | 538 |
| 7 | Japan | 536 |
| 8 | Liechtenstein | 535 |
| 9 | Switzerland | 531 |
| 10 | Netherlands | 523 |
| 11 | Estonia | 521 |
| 12 | Finland | 519 |
| 13= | Canada | 518 |
| 13= | Poland | 518 |
| 15 | Belgium | 515 |
| 16 | Germany | 514 |
| 17 | Vietnam | 511 |
| 18 | Austria | 506 |
| 19 | Australia | 504 |
| 20= | Ireland | 501 |
| 20= | Slovenia | 501 |
| 22= | Denmark | 500 |
| 22= | New Zealand | 500 |
| 24 | Czech Republic | 499 |
| 25 | France | 495 |
| 26 | United Kingdom | 494 |
| 27 | Iceland | 493 |
| 28 | Latvia | 491 |
| 29 | Luxembourg | 490 |
| 30 | Norway | 489 |
| 31 | Portugal | 487 |
| 32 | Italy | 485 |
| 33 | Spain | 484 |
| 34= | Russia | 482 |
| 34= | Slovakia | 482 |
| 36 | United States | 481 |
| 37 | Lithuania | 479 |
| 38 | Sweden | 478 |
| 39 | Hungary | 477 |
| 40 | Croatia | 471 |
| 41 | Israel | 466 |
| 42 | Greece | 453 |
| 43 | Serbia | 449 |
| 44 | Turkey | 448 |
| 45 | Romania | 445 |
| 46 | Cyprus | 440 |
| 47 | Bulgaria | 439 |
| 48 | United Arab Emirates | 434 |
| 49 | Kazakhstan | 432 |
| 50 | Thailand | 427 |
| 51 | Chile | 423 |
| 52 | Malaysia | 421 |
| 53 | Mexico | 413 |
| 54 | Montenegro | 410 |
| 55 | Uruguay | 409 |
| 56 | Costa Rica | 407 |
| 57 | Albania | 394 |
| 58 | Brazil | 391 |
| 59= | Argentina | 388 |
| 59= | Tunisia | 388 |
| 61 | Jordan | 386 |
| 62= | Colombia | 376 |
| 62= | Qatar | 376 |
| 64 | Indonesia | 375 |
| 65 | Peru | 368 |
| 1 | China Shanghai, China | 580 |
| 2 | Hong Kong, China | 555 |
| 3 | Singapore | 551 |
| 4 | Japan | 547 |
| 5 | Finland | 545 |
| 6 | Estonia | 541 |
| 7 | South Korea | 538 |
| 8 | Vietnam | 528 |
| 9 | Poland | 526 |
| 10= | Liechtenstein | 525 |
| 10= | Canada | 525 |
| 12 | Germany | 524 |
| 13 | Taiwan | 523 |
| 14= | Netherlands | 522 |
| 14= | Ireland | 522 |
| 16= | Macau, China | 521 |
| 16= | Australia | 521 |
| 18 | New Zealand | 516 |
| 19 | Switzerland | 515 |
| 20= | Slovenia | 514 |
| 20= | United Kingdom | 514 |
| 22 | Czech Republic | 508 |
| 23 | Austria | 506 |
| 24 | Belgium | 505 |
| 25 | Latvia | 502 |
| 26 | France | 499 |
| 27 | Denmark | 498 |
| 28 | United States | 497 |
| 29= | Spain | 496 |
| 29= | Lithuania | 496 |
| 31 | Norway | 495 |
| 32= | Italy | 494 |
| 32= | Hungary | 494 |
| 34= | Luxembourg | 491 |
| 34= | Croatia | 491 |
| 36 | Portugal | 489 |
| 37 | Russia | 486 |
| 38 | Sweden | 485 |
| 39 | Iceland | 478 |
| 40 | Slovakia | 471 |
| 41 | Israel | 470 |
| 42 | Greece | 467 |
| 43 | Turkey | 463 |
| 44 | United Arab Emirates | 448 |
| 45 | Bulgaria | 446 |
| 46= | Serbia | 445 |
| 46= | Chile | 445 |
| 48 | Thailand | 444 |
| 49 | Romania | 439 |
| 50 | Cyprus | 438 |
| 51 | Costa Rica | 429 |
| 52 | Kazakhstan | 425 |
| 53 | Malaysia | 420 |
| 54 | Uruguay | 416 |
| 55 | Mexico | 415 |
| 56 | Montenegro | 410 |
| 57 | Jordan | 409 |
| 58 | Argentina | 406 |
| 59 | Brazil | 405 |
| 60 | Colombia | 399 |
| 61 | Tunisia | 398 |
| 62 | Albania | 397 |
| 63 | Qatar | 384 |
| 64 | Indonesia | 382 |
| 65 | Peru | 373 |
| 1 | China Shanghai, China | 570 |
| 2 | Hong Kong, China | 545 |
| 3 | Singapore | 542 |
| 4 | Japan | 538 |
| 5 | South Korea | 536 |
| 6 | Finland | 524 |
| 7= | Taiwan | 523 |
| 7= | Canada | 523 |
| 7= | Ireland | 523 |
| 10 | Poland | 518 |
| 11= | Liechtenstein | 516 |
| 11= | Estonia | 516 |
| 13= | Australia | 512 |
| 13= | New Zealand | 512 |
| 15 | Netherlands | 511 |
| 16= | Macau, China | 509 |
| 16= | Switzerland | 509 |
| 16= | Belgium | 509 |
| 19= | Germany | 508 |
| 19= | Vietnam | 508 |
| 21 | France | 505 |
| 22 | Norway | 504 |
| 23 | United Kingdom | 499 |
| 24 | United States | 498 |
| 25 | Denmark | 496 |
| 26 | Czech Republic | 493 |
| 27= | Austria | 490 |
| 27= | Italy | 490 |
| 29 | Latvia | 489 |
| 30= | Luxembourg | 488 |
| 30= | Portugal | 488 |
| 30= | Spain | 488 |
| 30= | Hungary | 488 |
| 34 | Israel | 486 |
| 35 | Croatia | 485 |
| 36= | Iceland | 483 |
| 36= | Sweden | 483 |
| 38 | Slovenia | 481 |
| 39= | Lithuania | 477 |
| 39= | Greece | 477 |
| 41= | Russia | 475 |
| 41= | Turkey | 475 |
| 43 | Slovakia | 463 |
| 44 | Cyprus | 449 |
| 45 | Serbia | 446 |
| 46 | United Arab Emirates | 442 |
| 47= | Thailand | 441 |
| 47= | Chile | 441 |
| 47= | Costa Rica | 441 |
| 50 | Romania | 438 |
| 51 | Bulgaria | 436 |
| 52 | Mexico | 424 |
| 53 | Montenegro | 422 |
| 54 | Uruguay | 411 |
| 55 | Brazil | 410 |
| 56 | Tunisia | 404 |
| 57 | Colombia | 403 |
| 58 | Jordan | 399 |
| 59 | Malaysia | 398 |
| 60= | Argentina | 396 |
| 60= | Indonesia | 396 |
| 62 | Albania | 394 |
| 63 | Kazakhstan | 393 |
| 64 | Qatar | 388 |
| 65 | Peru | 384 |
PISA 2009
PISA 2006
PISA 2003
The results for PISA 2003 were released on 14 December 2004. This PISA cycle tested 275,000 15 year-olds on mathematics, science, reading and problem solving and involved schools from 30 OECD member countries and 11 partner countries. Note that for Science and Reading, the means displayed are for "All Students", but for these two subjects (domains), not all of the students answered questions in these domains. In the 2003 OECD Technical Report (pages 208, 209), there are different country means (different than those displayed below) available for students who had exposure to these domains.
PISA 2000
The results for the first cycle of the PISA survey were released on 14 November 2001. 265,000 15 year-olds were tested in 28 OECD countries and 4 partner countries on mathematics, science and reading. An additional 11 countries were tested later in 2002.
Comparison with other studies
The correlation between PISA 2003 and TIMSS 2003 grade 8 country means is 0.84 in mathematics, 0.95 in science. The values go down to 0.66 and 0.79 if the two worst performing developing countries are excluded. Correlations between different scales and studies are around 0.80. The high correlations between different scales and studies indicate common causes of country differences (e.g. educational quality, culture, wealth or genes) or a homogenous underlying factor of cognitive competence. European Economic Area countries perform slightly better in PISA; the Commonwealth of Independent States and Asian countries in TIMSS. Content balance and years of schooling explain most of the variation.
Reception
The results from PISA 2003 and PISA 2006 were featured in the 2010 documentary Waiting for "Superman".
China
Education professor Yong Zhao has noted that PISA 2009 did not receive much attention in the Chinese media, and that the high scores in China are due to excessive workload and testing, adding that it's "no news that the Chinese education system is excellent in preparing outstanding test takers, just like other education systems within the Confucian cultural circle: Singapore, Korea, Japan, and Hong Kong."
Students from Shanghai, China, had the top scores of every category (Mathematics, Reading and Science) in PISA 2009. In discussing these results, PISA spokesman Andreas Schleicher, Deputy Director for Education and head of the analysis division at the OECD’s directorate for education, described Shanghai as a pioneer of educational reform in which "there has been a sea change in pedagogy". Schleicher stated that Shanghai abandoned its "focus on educating a small elite, and instead worked to construct a more inclusive system. They also significantly increased teacher pay and training, reducing the emphasis on rote learning and focusing classroom activities on problem solving."
Schleicher also states that PISA tests administered in rural China have produced some results approaching the OECD average: Citing further, as-yet-unpublished OECD research, Schleicher said, "We have actually done Pisa in 12 of the provinces in China. Even in some of the very poor areas you get performance close to the OECD average." Schleicher says that for a developing country, China's 99.4% enrollment in primary education is "the envy of many countries". He maintains that junior secondary school participation rates in China are now 99%; and in Shanghai, not only has senior secondary school enrollment attained 98%, but admissions into higher education have achieved 80% of the relevant age group. Schleicher believes that this growth reflects quality, not just quantity, which he contends the top PISA ranking of Shanghai's secondary education confirms. Schleicher believes that China has also expanded school access and has moved away from learning by rote. According to Schleicher, Russia performs well in rote-based assessments, but not in PISA, whereas China does well in both rote-based and broader assessments.
Denmark
University of Copenhagen Professor Svend Kreiner, who examined in detail PISA's 2006 reading results, noted that in 2006 only about ten percent of the students who took part in PISA were tested on all 28 reading questions. "This in itself is ridiculous," Kreiner told Stewart. "Most people don't know that half of the students taking part in PISA (2006) do not respond to any reading item at all. Despite that, PISA assigns reading scores to these children."
Finland
The stable, high marks of Finnish students have attracted a lot of attention. According to Hannu Simola the results reflect a paradoxical mix of progressive policies implemented through a rather conservative pedagogic setting, where the high levels of teachers' academic preparation, social status, professionalism and motivation for the job are concomitant with the adherence to traditional roles and methods by both teachers and pupils in Finland's changing, but still quite paternalistic culture. Others advance Finland's low poverty rate as a reason for its success. Finnish education reformer Pasi Sahlberg attributes Finland's high educational achievements to its emphasis on social and educational equality and stress on cooperation and collaboration, as opposed to the competition among teachers and schools that prevails in other nations.
India
Of the 74 countries tested in the PISA 2009 cycle including the "+" nations, the two Indian states came up 72nd and 73rd out of 74 in both reading and mathematics, and 73rd and 74th in science. In Himachal Pradesh, 57.9 percent of 15 year olds in school cannot be distinguished from not having learned any science at all and in TN 43.6 percent all in this category - ten times as many as the USA. The estimate of the fraction of Tamil Nadu or Himachal Pradesh students at level 6 in science proficiency was zero. Their estimate of the fraction at level 5: also zero. Compared to this, about 20 percent of Singapore students reach at least level 5 or 6, while those below level 1 is only 2.8 percent. India's poor performance may not be linguistic as some suggested. 12.87% of US students, for example, indicated that the language of the test differed from the language spoken at home. while 30.77% of Himachal Pradesh students indicated that the language of the test differed from the language spoken at home, a significantly higher percent However, unlike American students, those Indian students with a different language at home did better on the PISA test than those with the same language. India's poor performance on the PISA test is consistent with India's poor performance in the only other instance when India's government allowed an international organization to test its students and consistent with India's own testing of its elite students in a study titled Student Learning in the Metros 2006. These studies were conducted using TIMSS questions. The poor result in PISA was greeted with dismay in the Indian media. The BBC reported that as of 2008, only 15% of India's students reach high school.
Italy / South Tyrol
In 2003 South Tyrol (Provincia Autonoma di Bolzano / Autonome Provinz Bozen), a predominantly German-speaking province in the north of Italy, took part in the PISA project for the first time in order to have a regional result as an adjudicated region. In the rest of Italy PISA is conducted by INVALSI (Istituto nazionale per la valutazione del sistema educativo di istruzione e di formazione), a formally independent research institution affiliated to the Ministry of Education, whereas in South Tyrol PISA was carried out by the regional Education Authority itself (Intendenza scolastica / Schulamt, since 2018 renamed into Bildungsdirektion), which is part of the South Tyrolean regional government. At the end of 2004, in the months prior to the announcement of the test results, the regional Education Authority in Bolzano / Bozen downplayed the validity of the PISA assessment and commissioned alternative school evaluations, preparing the public for a mediocre test result. According to the official PISA report 2003, however, South Tyrol seemed to even beat the PISA world champion Finland.
Critique
Right from the beginning, there was scepticism as to how South Tyrol succeeded in outdoing the neighbouring Italian and Austrian provinces. On the front page of its weekend edition for 29/30 January 2005, the South Tyrolean newspaper Neue Südtiroler Tageszeitung published a harsh critique and revealed that the South Tyrolean Education Authority had secretly eliminated more than 300 students from the 1500 students officially drawn as South Tyrolean test sample by the PISA Consortium, and soon more inconsistencies were to surface:
- Lack of independence of the South Tyrolean PISA board: In South Tyrol, PISA was not conducted by a nominally independent body like the local university Freie Universität Bozen or the European Academy EURAC, both of which have ample expertise in the field of education, but by the so-called Pedagogical Institute (Pädagogisches Institut, director: Rudolf Meraner), which was part of the Education Authority, which in its turn was part of the regional government. A few years later the Pedagogical Institute was nominally absorbed into the Education Authority and renamed into Department for Innovation and Counselling (with the same director: Rudolf Meraner).
- Exploitation for political ends: In the most influential mass media, the regional PISA results were presented as a triumph of the regional government and the SVP (Südtiroler Volkspartei or South Tyrolean People’s Party) ruling party’s policy, although the legal framework for all high schools in Italy is a purely national domain. For all the political autonomy granted to South Tyrol, this region still has the same types of schools and follows the same curricula as do all Italian regions. Mass media like the most-read South Tyrolean newspaper, Dolomiten, whose owner Michel Ebner is a prominent party member of the ruling SVP, did not either try to explain why the secondary schools attended by the Italian speaking students in the same Province did considerably worse, although it is the same regional government run by the SVP which is in charge of the Italian and the German school administration.
- Harassment of Critics: People who criticized the official PISA results and pointed out violations of the technical rules were officially threatened by the provincial governor, Luis Durnwalder, with libel action for slandering South Tyrol. On 16 March 2006, Durnwalder announced in a press conference that an Austrian teacher would be prosecuted and sued for damages simply because the teacher, in a letter sent to the Austrian Ministry of Education, had mentioned the fact that the South Tyrolean Education Authority had eliminated 17 percent of the students from the regional sample, thereby rendering invalid the regional PISA result. A year later, however, Mr Durnwalder had to admit that he had never taken legal action against the teacher and that there were no legal proceedings obviously because the critique was correct. It is also noteworthy that the director of the Pedagogical Institute, Rudolf Meraner, and others have constantly deleted the original German Wikipedia article about the South Tyrolean PISA results, replacing it with public government statements.
- Regional results deliberately misrepresented as national results: By definition, the PISA result of South Tyrol is a subregional result, which is not fully valid because of the small sample of 1500 students. Such regional results mainly serve documentary purposes and cannot be compared with national results. Nonetheless, the South Tyrolean Education Authority and the regional government repeatedly, and falsely, claimed that the South Tyrolean test results are national, i.e. fully valid results, whereas the neighbouring regions like Tyrol (Austria) and Trentino (Italy), according to South Tyrolean press releases, only had subnational results.
- Manipulation of the sample: Elimination of 17 percent of students: For a subnational result, regions had to test 1500 students. Among all regions with a subnational result, worldwide, South Tyrol was the only one that failed to test 1500 students. For reasons never specified, the Education Authority had eliminated 292 students (i.e. 17 percent) from the 1500 students sample, testing only 1208 of the students selected by the PISA consortium. Failing to test all 1500 students, the South Tyrolean Education Authority violated the technical PISA rules and deprived the PISA result even of its limited technical validity as a subnational result. Later on the Education Authority had to admit that it had actually excluded all vocational students, whose performance is generally considered to be inferior to that of high schools, and all students of the third forms of so-called middle schools (scuole medie / Mittelschulen), who would have been part of the sample only if they repeated a class and were considered underachievers because normally 15 year old students are enrolled at high schools. From the official PISA report this manipulation can be easily deduced as the difference between total population of 15-year-olds (4.908) and total enrolled population of 15-year-olds at grade 7 or above (4.087). In subsequent PISA assessments, the OECD or rather the PISA consortium did not publish these key figures so that it was no longer possible to ascertain the number of students eliminated from the sample against the rules.
- Incorrect figures about Target Population and actual sample: In Italy, according to the figures officially made available by the INVALSI, the number of all 15-year-old students (574.611) paradoxically exceeds the number of all 15-year-old people (561.304). Due to this mistake, it is impossible to establish how many Italian students were actually identified as Italian target population, and it is also impossible to find out which percentage of South Tyrolean students had actually been presented as target population to the PISA consortium. In theory, the Education Authority could have excluded certain types of students from the target population even before the sample of 1500 students was drawn by the PISA consortium, from which the Education Authority later on eliminated 17 percent.
Comparison with similar assessments
The stunning South Tyrolean 2003 PISA results can hardly be reconciled with similar high school evaluations, which were not conducted or influenced by the South Tyrolean Education Authority itself. Three international or national large scale assessment projects painted a gloomy picture of the South Tyrolean students’ performance.
- Admission Test at Austrian Universities of Medicine (EMS = Eignungstest für das Medizinstudium): Over the last two decades, candidates graduating from South Tyrolean high schools have traditionally scored very badly at the entry examination. The quota system at Austrian Universities of Medicine makes sure that 75 percent of all applicants admitted to Medicine are Austrian nationals or students from South Tyrol, who are considered an Austrian minority in Italy. Hence, for Austrians and South Tyroleans it is easier to get a place at an Austrian University of Medicine, even with bad scores, than for Germans and other EU nationals because the number of EU students must not exceed 20 percent. Nevertheless, according to a study financed by the Austrian Ministry of Education, not even within the big 75 percent quota, South Tyroleans could get a place because of their mediocre entrance test results. South Tyrolean applicants had an average score of 96,5 whereas e.g. German applicants had an average score of 103,1. Interestingly, South Tyrolean applicants did even worse than Austrian applicants although Italian high school graduates are one year older. What is even worse, South Tyrolean high school graduates show a sharp gender gap with female candidates doing much worse than their male colleagues, which reflects the Italian high school system: Certain types of high schools popular with female students (e.g. licei linguistici, licei scienze umane) have little mathematics and sciences. The difference between the average female and the average male South Tyrolean score in the 2007 EMS was dramatic: 94,8 versus 100,1 points. Later on the Swiss EMS organisation disallowed the Austrian Universities of Medicine to use its EMS test and the Austrian universities introduced a new entrance test scheme with an extra quota for female students. South Tyrolean mass media did not cover the EMS debacle at all. Within the South Tyrolean parliament, however, there have been debates as to the reasons of the poor performance of South Tyrolean high school students. As a consequence of the EMS debacle, the former South Tyrolean governor, Luis Durnwalder, envisaged a collaboration between the University of Medicine in Innsbruck and the Hospital in Bolzano (Bozen) which should have led to a Euregio Medical School open to all North Tyrolean (i.e. Austrian) and South Tyrolean applicants without any entrance exam. Eventually, the South Tyrolean government adopted a more pragmatic approach, it subsidized, as it were, extra places for South Tyrolean students. This seems to be a breach of the national quota system and the entrance requirements as outlined by Austrian laws. The former South Tyrolean governor, Luis Durnwalder, however, frankly admitted to resort to this solution when he complained about the high amount of money South Tyrol paid to the University of Medicine in Innsbruck for buying extra places for South Tyrolean students.
- German DESI assessment of linguistic skills in German (mother tongue) and English (foreign language): Parallel with the 2003 PISA assessment, the South Tyrolean Education Authority commissioned a second assessment, obviously because the Education Authority expected a mediocre PISA result and had downplayed the importance of PISA. Like PISA, the DESI assessment was conducted against the technical rules because, again, all vocational students attending a vocational school (Berufsschule) and working part-time in a workshop or small firm, i.e. one third of the target population was excluded from the test. The South Tyrolean Education Authority also excluded the whole English test section from DESI, thereby depriving DESI of its main purpose, namely a comparison of German speaking students’ language competence in L1 and L2. The South Tyrolean Education Authority argued that in (bilingual) South Tyrol, German speaking students start with Italian as their first foreign language at elementary schools. This explanation, however, lacks credibility because in Germany, as well, many students assessed by DESI had main foreign languages other than English, e.g. French or even Latin (Bavaria), and the amount of weekly classroom teaching in English from the first form at elementary schools is the same in Germany and South Tyrol. In their official report, the German experts responsible for the DESI assessment in South Tyrol generally praised the quality of teaching, but the concrete results in the report reveal drastic shortcomings. For instance, in the semantic field of railway station (Bahnhof), not even one South Tyrolean student with German as his or her mother tongue knew the German word for a signal box (Stellwerk). Instead of marking such errors as errors, however, the German experts resorted to a methodologically disputable assumption. They claimed, without checking, that all words which South Tyrolean students did not know are, by definition, not used in the South Tyrolean variant of German and that these words must be excluded from the test (item bias), thus counting only correct answers. The DESI testers from Germany, however, did not check if the words excluded from DESI because of item bias actually were unknown. In fact, all words excluded from the South Tyrolean DESI questionnaire are common German words used in South Tyrol as well, i.e. for these words there are no South Tyrolean variants at all. For all the technical exceptions and modifications, the 2003 South Tyrolean DESI result was very disappointing. Only 14 percent of the South Tyrolean high school students came into the best achievement group, whereas in Germany almost half of the 15 year old students belong to this group. On the other hand, one fourth of the South Tyrolean German speaking students came into the lowest achievement group, which in Germany, in spite of all social problems in big towns, comprises only 7 percent of all students.
- Italian INVALSI assessments: Traditionally, the annual assessments conducted by the Italian INVALSI in the pre-PISA period painted a sorry picture of the northernmost Italian Regione Autonoma di Trentino e Alto Adige comprising the two autonomous provinces called Trentino (Italian speaking) and South Tyrol (predominantly German speaking). Schools in Trentino and South Tyrol did constantly worse than those in all other North Italian regions and even lagged behind the Italian average, though it is not clear if the sample of German speaking students was representative because, again, the South Tyrolean Education Authority was entitled to eliminate bad schools from the sample, thereby manipulating the validity of the assessment. To some extent, two South Tyrolean anomalies may account for the traditional bad performance of South Tyrolean students in international evaluations. Until recently, no pedagogical qualifications were required for teachers, not even for permanently employed teachers (insegnanti di ruolo / Stammrollenlehrer) appointed by the Education Authority in Bolzano (Bozen) through a so-called concorso. Besides, the admission criteria for the South Tyrolean concorsi have always been inconsistent. For example, a South Tyrolean student who studied at an Italian university German as a Foreign Language or Art History, automatically obtained the teaching license for completely unrelated subjects, like History and Latin, at South Tyrolean high schools.
United States
Two studies have compared high achievers in mathematics on the PISA and those on the U.S. National Assessment of Educational Progress (NAEP). Comparisons were made between those scoring at the "advanced" and "proficient" levels in mathematics on the NAEP with the corresponding performance on the PISA. Overall, 30 nations had higher percentages than the U.S. of students at the "advanced" level of mathematics. The only OECD countries with worse results were Portugal, Greece, Turkey, and Mexico. Six percent of U.S. students were "advanced" in mathematics compared to 28 percent in Taiwan. The highest ranked state in the U.S. (Massachusetts) was just 15th in the world if it was compared with the nations participating in the PISA. 31 nations had higher percentages of "proficient" students than the U.S. Massachusetts was again the best U.S. state, but it ranked just ninth in the world if compared with the nations participating in the PISA.
Comparisons with results for the Trends in International Mathematics and Science Study (TIMSS) appear to give different results—suggesting that the U.S. states actually do better in world rankings. This can likely be traced to the different material being covered and the United States teaching mathematics in a style less harmonious with the "Realistic Mathematics Education" which forms the basis of the exam. Countries that commonly use this teaching method score higher on PISA, and less highly on TIMSS and other assessments.
Poverty
Stephen Krassen, professor emeritus at the University of Southern California, and Mel Riddile of the NASSP attributed the relatively low performance of students in the United States to the country's high rate of child poverty, which exceeds that of other OECD countries. However, individual US schools with poverty rates comparable to Finland's (below 10%), as measured by reduced-price school lunch participation, outperform Finland; and US schools in the 10–24% reduced-price lunch range are not far behind.
Reduced school lunch participation is the only available intra-poverty indicator for US schoolchildren. In the United States, schools in locations in which less than 10% of the students qualified for free or reduced-price lunch averaged PISA scores of 551 (higher than any other OECD country). This can be compared with the other OECD countries (which have tabled figures on children living in relative poverty):
| Country | Percent of reduced school lunches (US) Percent of relative child poverty (Other OECD countries) | PISA score |
|---|---|---|
| United States | < 10% | 551 |
| Finland | 3.4% | 536 |
| Netherlands | 9.0% | 508 |
| Belgium | 6.7% | 506 |
| United States | 10%–24.9% | 527 |
| Canada | 13.6% | 524 |
| New Zealand | 16.3% | 521 |
| Japan | 14.3% | 520 |
| Australia | 11.6% | 515 |
| United States | 25–49.9% | 502 |
| Estonia | 40.1% | 501 |
| United States | 50–74.9% | 471 |
| Russian Federation | 58.3% | 459 |
| United States | > 75% | 446 |
Sampling errors
In 2013 Martin Carnoy of the Stanford University Graduate School of Education and Richard Rothstein of the Economic Policy Institute released a report, "What do international tests really show about U.S. student performance?", analyzing the 2009 PISA data base. Their report found that U.S. PISA test scores had been lowered by a sampling error that over-represented adolescents from the most disadvantaged American schools in the test-taking sample. The authors cautioned that international test scores are often "interpreted to show that American students perform poorly when compared to students internationally" and that school reformers then conclude that "U.S. public education is failing." Such inferences, made before the data has been carefully analyzed, they say, "are too glib" and "may lead policymakers to pursue inappropriate and even harmful reforms."
Carnoy and Rothstein observe that in all countries, students from disadvantaged backgrounds perform worse than those from advantaged backgrounds, and the US has a greater percentage of students from disadvantaged backgrounds. The sampling error on the PISA results lowered U.S. scores for 15-year-olds even further, they say. The authors add, however, that in countries such as Finland, the scores of disadvantaged students tends to be stagnant, whereas in the U.S the scores of disadvantaged students have been steadily rising over time, albeit still lagging behind their those of their more advantaged peers. When the figures are adjusted for social class, the PISA scores of all US students would still remain behind those of the highest scoring countries, nevertheless, the scores of US students of all social backgrounds have shown a trajectory of improvement over time, notably in mathematics, a circumstance PISA's report fails to take into account.
Carnoy and Rothstein write that PISA spokesman Schleicher has been quoted saying that "international education benchmarks make disappointing reading for the U.S." and that "in the U.S. in particular, poverty was destiny. Low-income American students did (and still do) much worse than high-income ones on PISA. But poor kids in Finland and Canada do far better relative to their more privileged peers, despite their disadvantages" (Ripley 2011). Carnoy and Rothstein state that their report's analysis shows Schleicher and Ripley's claims to be untrue. They further fault the way PISA's results have persistently been released to the press before experts have time to evaluate them; and they charge the OECD reports with inconsistency in explaining such factors as the role of parental education. Carnoy and Rothstein also note with alarm that the US secretary of education Arne Duncan regularly consults with PISA's Andreas Schleicher in formulating educational policy before other experts have been given a chance to analyze the results. Carnoy and Rothstein's report (written before the release of the 2011 database) concludes:
We are most certain of this: To make judgments only on the basis of national average scores, on only one test, at only one point in time, without comparing trends on different tests that purport to measure the same thing, and without disaggregation by social class groups, is the worst possible choice. But, unfortunately, this is how most policymakers and analysts approach the field.
The most recent test for which an international database is presently available is PISA, administered in 2009. A database for TIMSS 2011 is scheduled for release in mid-January 2013. In December 2013, PISA will announce results and make data available from its 2012 test administration. Scholars will then be able to dig into TIMSS 2011 and PISA 2012 databases so they can place the publicly promoted average national results in proper context. The analyses we have presented in this report should caution policymakers to await understanding of this context before drawing conclusions about lessons from TIMSS or PISA assessments.
Further reading
Official websites and reports
- : Measuring Student Knowledge and Skills. A New Framework for Assessment. Paris: OECD, ISBN 92-64-17053-7 OECD (2001): Knowledge and Skills for Life. First Results from the OECD Programme for International Student Assessment (PISA) 2000. OECD (2003a): The PISA 2003 Assessment Framework. Mathematics, Reading, Science and Problem Solving Knowledge and Skills. Paris: OECD, ISBN 978-92-64-10172-2 OECD (2004a): Learning for Tomorrow's World. First Results from PISA 2003. Paris: OECD, ISBN 978-92-64-00724-6 OECD (2004b): Problem Solving for Tomorrow's World. First Measures of Cross-Curricular Competencies from PISA 2003. Paris: OECD, ISBN 978-92-64-00642-3 OECD (2005): PISA 2003 Technical Report. Paris: OECD, ISBN 978-92-64-01053-6 OECD (2007): Science Competencies for Tomorrow's World: Results from PISA 2006 OECD (2014): PISA 2012 results: Creative problem solving: Students’ skills in tackling real-life problems (Volume V)
Reception and political consequences
- A. P. Jakobi, K. Martens: Diffusion durch internationale Organisationen: Die Bildungspolitik der OECD. In: K. Holzinger, H. Jörgens, C. Knill: Transfer, Diffusion und Konvergenz von Politiken. VS Verlag für Sozialwissenschaften, 2007.
France
- N. Mons, X. Pons: The reception and use of Pisa in France.
Germany
- E. Bulmahn [then federal secretary of education]: PISA: the consequences for Germany. OECD observer, no. 231/232, May 2002. pp. 33–34.
- H. Ertl: Educational Standards and the Changing Discourse on Education: The Reception and Consequences of the PISA Study in Germany. Oxford Review of Education, v 32 n 5 pp 619–634 Nov 2006.
United Kingdom
- S. Grek, M. Lawn, J. Ozga: Study on the Use and Circulation of PISA in Scotland.
Books
- H. Brügelmann: Vermessene Schulen - standardisierte Schüler. Beltz-Verlag, Weinheim (Deutsch, English summary: ).
- S. Hopmann, G. Brinek, M. Retzl (eds.): PISA zufolge PISA. PISA According to PISA. LIT-Verlag, Wien 2007, ISBN 3-8258-0946-3 (partly in German, partly in English)
- T. Jahnke, W. Meyerhöfer (eds.): PISA & Co – Kritik eines Programms. Franzbecker, Hildesheim 2007 (2nd edn.), ISBN 978-3-88120-464-4 (in German)
- R. Münch: Globale Eliten, lokale Autoritäten: Bildung und Wissenschaft unter dem Regime von PISA, McKinsey & Co. Frankfurt am Main : Suhrkamp, 2009. ISBN 978-3-518-12560-1 (in German)
Websites
- J . Wuttke:
- Correlation of 2009-PISA Scores with National GDP