Coloured world map with PISA PISA average Mathematics scores (2022)
Mathematics

The Programme for International Student Assessment (PISA) is a worldwide study by the Organisation for Economic Co-operation and Development (OECD) in member and non-member nations intended to evaluate educational systems by measuring 15-year-old school pupils' scholastic performance on mathematics, science, and reading. It was first performed in 2000 and then repeated every three years. Its aim is to provide comparable data to enable countries to improve their education policies and outcomes. It measures problem solving and cognition.

The results of the 2022 data collection were released in December 2023.

Influence and impact

PISA, and similar international standardised assessments of educational attainment are increasingly used in the process of education policymaking at both national and international levels.

PISA was conceived to set in a wider context the information provided by national monitoring of education system performance through regular assessments within a common, internationally agreed framework; by investigating relationships between student learning and other factors they can "offer insights into sources of variation in performances within and between countries".

Until the 1990s, few European countries used national tests. In the 1990s, ten countries / regions introduced standardised assessment, and since the early 2000s, ten more followed suit. By 2009, only five European education systems had no national student assessments.

The impact of these international standardised assessments in the field of educational policy has been significant, in terms of the creation of new knowledge, changes in assessment policy, and external influence over national educational policy more broadly.

Creation of new knowledge

Data from international standardised assessments can be useful in research on causal factors within or across education systems. Mons notes that the databases generated by large-scale international assessments have made it possible to carry out inventories and comparisons of education systems on an unprecedented scale on themes ranging from the conditions for learning mathematics and reading, to institutional autonomy and admissions policies. They allow typologies to be developed that can be used for comparative statistical analyses of education performance indicators, thereby identifying the consequences of different policy choices. They have generated new knowledge about education: PISA findings have challenged deeply embedded educational practices, such as the early tracking of students into vocational or academic pathways.

Barroso and de Carvalho find that PISA provides a common reference connecting academic research in education and the political realm of public policy, operating as a mediator between different strands of knowledge from the realm of education and public policy. However, although the key findings from comparative assessments are widely shared in the research community the knowledge they create does not necessarily fit with government reform agendas; this leads to some inappropriate uses of assessment data.

Changes in national assessment policy

Emerging research suggests that international standardised assessments are having an impact on national assessment policy and practice. PISA is being integrated into national policies and practices on assessment, evaluation, curriculum standards and performance targets; its assessment frameworks and instruments are being used as best-practice models for improving national assessments; many countries have explicitly incorporated and emphasise PISA-like competencies in revised national standards and curricula; others use PISA data to complement national data and validate national results against an international benchmark.

External influence over national educational policy

PISA may influence national education policy choices in a variety of ways. Participation in international assessments like PISA has been linked to significant education policy changes and outcomes, such as higher student enrollments and education reforms. However, critics have argued that participation could lead to undesirable outcomes, such as higher repetition rates and narrowing of curricula. The impact of PISA may also vary according to the specific country context.

Policy-makers in most participating countries see PISA as an important indicator of system performance; PISA reports can define policy problems and set the agenda for national policy debate; policymakers seem to accept PISA as a valid and reliable instrument for internationally benchmarking system performance and changes over time; most countries—irrespective of whether they performed above, at, or below the average PISA score—have begun policy reforms in response to PISA reports.

Against this, impact on national education systems varies markedly. For example, in Germany, the results of the first PISA assessment caused the so-called 'PISA shock': a questioning of previously accepted educational policies; in a state marked by jealously guarded regional policy differences, it led ultimately to an agreement by all Länder to introduce common national standards and even an institutionalised structure to ensure that they were observed. In Hungary, by comparison, which shared similar conditions to Germany, PISA results have not led to significant changes in educational policy.

Because many countries have set national performance targets based on their relative rank or absolute PISA score, PISA assessments have increased the influence of their (non-elected) commissioning body, the OECD, as an international education monitor and policy actor, which implies an important degree of 'policy transfer' from the international to the national level; PISA in particular is having "an influential normative effect on the direction of national education policies". Thus, it is argued that the use of international standardised assessments has led to a shift towards international, external accountability for national system performance; Rey contends that PISA surveys, portrayed as objective, third-party diagnoses of education systems, actually serve to promote specific orientations on educational issues.

National policy actors refer to high-performing PISA countries to "help legitimise and justify their intended reform agenda within contested national policy debates". PISA data can be "used to fuel long-standing debates around pre-existing conflicts or rivalries between different policy options, such as in the French Community of Belgium". In such instances, PISA assessment data are used selectively: in public discourse governments often only use superficial features of PISA surveys such as country rankings and not the more detailed analyses. Rey (2010:145, citing Greger, 2008) notes that often the real results of PISA assessments are ignored as policymakers selectively refer to data in order to legitimise policies introduced for other reasons.

In addition, PISA's international comparisons can be used to justify reforms with which the data themselves have no connection; in Portugal, for example, PISA data were used to justify new arrangements for teacher assessment (based on inferences that were not justified by the assessments and data themselves); they also fed the government's discourse about the issue of pupils repeating a year, (which, according to research, fails to improve student results). In Finland, the country's PISA results (that are in other countries deemed to be excellent) were used by Ministers to promote new policies for 'gifted' students. Such uses and interpretations often assume causal relationships that cannot legitimately be based upon PISA data which would normally require fuller investigation through qualitative in-depth studies and longitudinal surveys based on mixed quantitative and qualitative methods, which politicians are often reluctant to fund.

Recent decades have witnessed an expansion in the uses of PISA and similar assessments, from assessing students' learning, to connecting "the educational realm (their traditional remit) with the political realm". This raises the question of whether PISA data are sufficiently robust to bear the weight of the major policy decisions that are being based upon them, for, according to Breakspear, PISA data have "come to increasingly shape, define and evaluate the key goals of the national / federal education system". This implies that those who set the PISA tests – e.g. in choosing the content to be assessed and not assessed – are in a position of considerable power to set the terms of the education debate, and to orient educational reform in many countries around the globe.

Framework

PISA stands in a tradition of international school studies, undertaken since the late 1950s by the International Association for the Evaluation of Educational Achievement (IEA). Much of PISA's methodology follows the example of the Trends in International Mathematics and Science Study (TIMSS, started in 1995), which in turn was much influenced by the U.S. National Assessment of Educational Progress (NAEP). The reading component of PISA is inspired by the IEA's Progress in International Reading Literacy Study (PIRLS).

PISA aims to test literacy of students in three competence fields: reading, mathematics, science on an indefinite scale.

The PISA mathematics literacy test asks students to apply their mathematical knowledge to solve problems set in real-world contexts. To solve the problems students must activate a number of mathematical competencies as well as a broad range of mathematical content knowledge. TIMSS, on the other hand, measures more traditional classroom content such as an understanding of fractions and decimals and the relationship between them (curriculum attainment). PISA claims to measure education's application to real-life problems and lifelong learning (workforce knowledge).

In the reading test, "OECD/PISA does not measure the extent to which 15-year-old students are fluent readers or how competent they are at word recognition tasks or spelling." Instead, they should be able to "construct, extend and reflect on the meaning of what they have read across a wide range of continuous and non-continuous texts."

PISA also assesses students in innovative domains. In 2012 and 2015 in addition to reading, mathematics and science, they were tested in collaborative problem solving. In 2018 the additional innovative domain was global competence.

Implementation

PISA is sponsored, governed, and coordinated by the OECD, but paid for by participating countries.[citation needed]

Method of testing

Sampling

The students tested by PISA are aged between 15 years and 3 months and 16 years and 2 months at the beginning of the assessment period. The school year pupils are in is not taken into consideration. Only students at school are tested, not home-schoolers. In PISA 2006, however, several countries also used a grade-based sample of students. This made it possible to study how age and school year interact.

To fulfill OECD requirements, each country must draw a sample of at least 5,000 students. In small countries like Iceland and Luxembourg, where there are fewer than 5,000 students per year, an entire age cohort is tested. Some countries used much larger samples than required to allow comparisons between regions.

Test

PISA test documents on a school table (Neues Gymnasium, Oldenburg, Germany, 2006)

Each student takes a two-hour computer based test. Part of the test is multiple-choice and part involves fuller answers. There are six and a half hours of assessment material, but each student is not tested on all the parts. Following the cognitive test, participating students spend nearly one more hour answering a questionnaire on their background including learning habits, motivation, and family. School directors fill in a questionnaire describing school demographics, funding, etc. In 2012 the participants were, for the first time in the history of large-scale testing and assessments, offered a new type of problem, i.e. interactive (complex) problems requiring exploration of a novel virtual device.

In selected countries, PISA started experimentation with computer adaptive testing.

National add-ons

Countries are allowed to combine PISA with complementary national tests.

Germany does this in a very extensive way: On the day following the international test, students take a national test called PISA-E[de] (E=Ergänzung=complement). Test items of PISA-E are closer to TIMSS than to PISA. While only about 5,000 German students participate in the international and the national test, another 45,000 take the national test only. This large sample is needed to allow an analysis by federal states. Following a clash about the interpretation of 2006 results, the OECD warned Germany that it might withdraw the right to use the "PISA" label for national tests.

Data scaling

From the beginning, PISA has been designed with one particular method of data analysis in mind. Since students work on different test booklets, raw scores must be 'scaled' to allow meaningful comparisons. Scores are thus scaled so that the OECD average in each domain (mathematics, reading and science) is 500 and the standard deviation is 100. This is true only for the initial PISA cycle when the scale was first introduced, though, subsequent cycles are linked to the previous cycles through IRT scale linking methods.

This generation of proficiency estimates is done using a latent regression extension of the Rasch model, a model of item response theory (IRT), also known as conditioning model or population model. The proficiency estimates are provided in the form of so-called plausible values, which allow unbiased estimates of differences between groups. The latent regression, together with the use of a Gaussian prior probability distribution of student competencies allows estimation of the proficiency distributions of groups of participating students. The scaling and conditioning procedures are described in nearly identical terms in the Technical Reports of PISA 2000, 2003, 2006. NAEP and TIMSS use similar scaling methods.

Ranking results

All PISA results are tabulated by country; recent PISA cycles have separate provincial or regional results for some countries. Most public attention concentrates on just one outcome: the mean scores of countries and their rankings of countries against one another. In the official reports, however, country-by-country rankings are given not as simple league tables but as cross tables indicating for each pair of countries whether or not mean score differences are statistically significant (unlikely to be due to random fluctuations in student sampling or in item functioning). In favorable cases, a difference of 9 points is sufficient to be considered significant.[citation needed]

PISA never combines mathematics, science and reading domain scores into an overall score. However, commentators have sometimes combined test results from all three domains into an overall country ranking. Such meta-analysis is not endorsed by the OECD, although official summaries sometimes use scores from a testing cycle's principal domain as a proxy for overall student ability.

PISA 2022 ranking summary

The results of PISA 2022 were presented on 5 December 2023, which included data for around 700,000 participating students in 81 countries and economies, with Singapore emerging as the top performer in all categories.

Both Lebanon and the Chinese provinces/municipalities of Beijing, Shanghai, Jiangsu and Zhejiang participated this edition, but their results were not published as they were not able to fully collect data because of COVID restrictions.

Because of the Russian full-scale invasion of Ukraine, only 18 of 27 Ukrainian regions had their data collected, thus the results are not representative of the following regions: Dnipropetrovsk Oblast, Donetsk Oblast, Kharkiv Oblast, Luhansk Oblast, Zaporizhzhia Oblast, Kherson Oblast, Mykolaiv Oblast, the Autonomous Republic of Crimea and the city of Sevastopol.

MathematicsScienceReading
1 Singapore 575 2 Macau 552 3 Taiwan 547 4 Hong Kong 540 5 Japan 536 6 South Korea 527 7 Estonia 510 8 Switzerland 508 9 Canada 497 10 Netherlands 493 11 Ireland 492 12 Belgium 489 13 Denmark 489 14 United Kingdom 489 15 Poland 489 16 Australia 487 17 Austria 487 18 Czech Republic 487 19 Slovenia 485 20 Finland 484 21 Latvia 483 22 Sweden 482 23 New Zealand 479 24 Germany 475 25 Lithuania 475 26 France 474 27 Spain 473 28 Hungary 473 29 Portugal 472 International Average (OECD) 472 30 Italy 471 31 Vietnam 469 32 Norway 468 33 Malta 466 34 United States 465 35 Slovakia 464 36 Croatia 463 37 Iceland 459 38 Israel 458 39 Turkey 453 40 Brunei 442 41 Ukraine 441 42 Serbia 440 43 United Arab Emirates 431 44 Greece 430 45 Romania 428 46 Kazakhstan 425 47 Mongolia 425 48 Cyprus 418 49 Bulgaria 417 50 Moldova 417 51 Qatar 414 52 Chile 412 53 Uruguay 409 54 Malaysia 409 55 Montenegro 406 56 Azerbaijan 397 57 Mexico 395 58 Thailand 394 59 Peru 391 60 Georgia 390 61 North Macedonia 389 62 Saudi Arabia 389 63 Costa Rica 385 64 Colombia 383 65 Brazil 379 66 Argentina 378 67 Jamaica 377 68 Albania 368 69 Indonesia 366 70 Palestinian Authority 366 71 Morocco 365 72 Uzbekistan 364 73 Jordan 361 74 Panama 357 75 Kosovo 355 76 Philippines 355 77 Guatemala 344 78 El Salvador 343 79 Dominican Republic 339 80 Paraguay 338 81 Cambodia 3361 Singapore 561 2 Japan 547 3 Macau 543 4 Taiwan 537 5 South Korea 528 6 Estonia 526 7 Hong Kong 520 8 Canada 515 9 Finland 511 10 Australia 507 11 Ireland 504 12 New Zealand 504 13 Switzerland 503 14 Slovenia 500 15 United Kingdom 500 16 United States 499 17 Poland 499 18 Czech Republic 498 19 Denmark 494 20 Latvia 494 21 Sweden 494 22 Germany 492 23 Austria 491 24 Belgium 491 25 Netherlands 488 26 France 487 27 Hungary 486 28 Spain 485 29 International Average (OECD) 485 Lithuania 484 30 Portugal 484 31 Croatia 483 32 Norway 478 33 Italy 477 34 Turkey 476 35 Vietnam 472 36 Malta 466 37 Israel 465 38 Slovakia 462 39 Ukraine 450 40 Iceland 447 41 Serbia 447 42 Brunei 446 43 Chile 444 44 Greece 441 45 Uruguay 435 46 United Arab Emirates 432 47 Qatar 432 48 Romania 428 49 Kazakhstan 423 50 Bulgaria 421 51 Moldova 417 52 Malaysia 416 53 Mongolia 412 54 Cyprus 411 55 Colombia 411 56 Costa Rica 411 57 Mexico 410 58 Thailand 409 59 Peru 408 60 Argentina 406 61 Brazil 403 62 Jamaica 403 63 Montenegro 403 64 Saudi Arabia 390 65 Panama 388 66 Georgia 384 67 Indonesia 383 68 Azerbaijan 380 69 North Macedonia 380 70 Albania 376 71 Jordan 375 72 El Salvador 374 73 Guatemala 373 74 Palestinian Authority 369 75 Paraguay 368 76 Morocco 365 77 Dominican Republic 360 78 Kosovo 357 79 Philippines 356 80 Uzbekistan 355 81 Cambodia 3471 Singapore 543 2 Ireland 516 3 Japan 516 4 South Korea 515 5 Taiwan 515 6 Estonia 511 7 Macau 510 8 Canada 507 9 United States 504 10 New Zealand 501 11 Hong Kong 500 12 Australia 498 13 United Kingdom 494 14 Finland 490 15 Denmark 489 16 Poland 489 17 Czech Republic 489 18 Sweden 487 19 Switzerland 483 20 Italy 482 21 Germany 480 22 Austria 480 23 Belgium 479 24 Norway 477 25 Portugal 477 26 International Average (OECD) 476 27 Croatia 475 28 Latvia 475 29 Spain 474 France 474 30 Israel 474 31 Hungary 473 32 Lithuania 472 33 Slovenia 469 34 Vietnam 462 35 Netherlands 459 36 Turkey 456 37 Chile 448 38 Slovakia 447 39 Malta 445 40 Serbia 440 41 Greece 438 42 Iceland 436 43 Uruguay 430 44 Brunei 429 45 Romania 428 46 Ukraine 428 47 Qatar 419 48 United Arab Emirates 417 49 Costa Rica 415 50 Mexico 415 51 Moldova 411 52 Brazil 410 53 Jamaica 410 54 Colombia 409 55 Peru 408 56 Montenegro 405 57 Bulgaria 404 58 Argentina 401 59 Panama 392 60 Malaysia 388 61 Kazakhstan 386 62 Saudi Arabia 383 63 Cyprus 381 64 Thailand 379 65 Mongolia 378 66 Georgia 374 67 Guatemala 374 68 Paraguay 373 69 Azerbaijan 365 70 El Salvador 365 71 Indonesia 359 72 North Macedonia 359 73 Albania 358 74 Dominican Republic 351 75 Palestinian Authority 349 76 Philippines 347 77 Jordan 342 78 Kosovo 342 79 Morocco 339 80 Uzbekistan 336 81 Cambodia 329
1Singapore575
2Macau552
3Taiwan547
4Hong Kong540
5Japan536
6South Korea527
7Estonia510
8Switzerland508
9Canada497
10Netherlands493
11Ireland492
12Belgium489
13Denmark489
14United Kingdom489
15Poland489
16Australia487
17Austria487
18Czech Republic487
19Slovenia485
20Finland484
21Latvia483
22Sweden482
23New Zealand479
24Germany475
25Lithuania475
26France474
27Spain473
28Hungary473
29Portugal472
International Average (OECD)472
30Italy471
31Vietnam469
32Norway468
33Malta466
34United States465
35Slovakia464
36Croatia463
37Iceland459
38Israel458
39Turkey453
40Brunei442
41Ukraine441
42Serbia440
43United Arab Emirates431
44Greece430
45Romania428
46Kazakhstan425
47Mongolia425
48Cyprus418
49Bulgaria417
50Moldova417
51Qatar414
52Chile412
53Uruguay409
54Malaysia409
55Montenegro406
56Azerbaijan397
57Mexico395
58Thailand394
59Peru391
60Georgia390
61North Macedonia389
62Saudi Arabia389
63Costa Rica385
64Colombia383
65Brazil379
66Argentina378
67Jamaica377
68Albania368
69Indonesia366
70Palestinian Authority366
71Morocco365
72Uzbekistan364
73Jordan361
74Panama357
75Kosovo355
76Philippines355
77Guatemala344
78El Salvador343
79Dominican Republic339
80Paraguay338
81Cambodia336
1Singapore561
2Japan547
3Macau543
4Taiwan537
5South Korea528
6Estonia526
7Hong Kong520
8Canada515
9Finland511
10Australia507
11Ireland504
12New Zealand504
13Switzerland503
14Slovenia500
15United Kingdom500
16United States499
17Poland499
18Czech Republic498
19Denmark494
20Latvia494
21Sweden494
22Germany492
23Austria491
24Belgium491
25Netherlands488
26France487
27Hungary486
28Spain485
29International Average (OECD)485
Lithuania484
30Portugal484
31Croatia483
32Norway478
33Italy477
34Turkey476
35Vietnam472
36Malta466
37Israel465
38Slovakia462
39Ukraine450
40Iceland447
41Serbia447
42Brunei446
43Chile444
44Greece441
45Uruguay435
46United Arab Emirates432
47Qatar432
48Romania428
49Kazakhstan423
50Bulgaria421
51Moldova417
52Malaysia416
53Mongolia412
54Cyprus411
55Colombia411
56Costa Rica411
57Mexico410
58Thailand409
59Peru408
60Argentina406
61Brazil403
62Jamaica403
63Montenegro403
64Saudi Arabia390
65Panama388
66Georgia384
67Indonesia383
68Azerbaijan380
69North Macedonia380
70Albania376
71Jordan375
72El Salvador374
73Guatemala373
74Palestinian Authority369
75Paraguay368
76Morocco365
77Dominican Republic360
78Kosovo357
79Philippines356
80Uzbekistan355
81Cambodia347
1Singapore543
2Ireland516
3Japan516
4South Korea515
5Taiwan515
6Estonia511
7Macau510
8Canada507
9United States504
10New Zealand501
11Hong Kong500
12Australia498
13United Kingdom494
14Finland490
15Denmark489
16Poland489
17Czech Republic489
18Sweden487
19Switzerland483
20Italy482
21Germany480
22Austria480
23Belgium479
24Norway477
25Portugal477
26International Average (OECD)476
27Croatia475
28Latvia475
29Spain474
France474
30Israel474
31Hungary473
32Lithuania472
33Slovenia469
34Vietnam462
35Netherlands459
36Turkey456
37Chile448
38Slovakia447
39Malta445
40Serbia440
41Greece438
42Iceland436
43Uruguay430
44Brunei429
45Romania428
46Ukraine428
47Qatar419
48United Arab Emirates417
49Costa Rica415
50Mexico415
51Moldova411
52Brazil410
53Jamaica410
54Colombia409
55Peru408
56Montenegro405
57Bulgaria404
58Argentina401
59Panama392
60Malaysia388
61Kazakhstan386
62Saudi Arabia383
63Cyprus381
64Thailand379
65Mongolia378
66Georgia374
67Guatemala374
68Paraguay373
69Azerbaijan365
70El Salvador365
71Indonesia359
72North Macedonia359
73Albania358
74Dominican Republic351
75Palestinian Authority349
76Philippines347
77Jordan342
78Kosovo342
79Morocco339
80Uzbekistan336
81Cambodia329

Rankings comparison 2000–2022

Mathematics
Country20222018201520122009200620032000
ScoreRankScoreRankScoreRankScoreRankScoreRankScoreRankScoreRankScoreRank
International Average (OECD)472489490494495494499492
Albania368684374841357394543775338133
Algeria36072
Argentina37866379714095838830
Australia487174912949425504175141352012524105336
Austria4871649923497205061649622505175061850312
China B-S-J-G5316
China B-S-J-Z5911
Azerbaijan Baku3975642056
Belarus47238
Belgium48912508155071551513515125201152975208
Bosnia and Herzegovina40662
Brazil3796538470377683895538651370503563933435
Brunei4424043051
Bulgaria41749436494414743943428414134343028
Argentina CABA4564341849
Cambodia33681
Canada49795121251610518115278527753265336
Chile41252417594235042347421444114438432
Taiwan547353155424560354345491
Colombia383643916939064376583815237049
Costa Rica38563402634006240753
Croatia463364644046441471384603846734
Cyprus418484514543748
Czech Republic4871849922492284992249325510155161249814
Denmark4891350913511125002050317513145141451410
Dominican Republic339793257832873
El Salvador34378
Estonia51075238520952195121551513
Finland484205071651113519105415548254425365
France474264952549326495234972049622511155179
Georgia390603986640460
Germany4752550020506165141451314504195031949016
Greece4304445144454444534046637459374453244724
Guatemala34477
Hong Kong54045514548256125552547355015601
Hungary4732848136477374773749027491264902548817
Iceland4593749526488314932550716506165151351410
Indonesia3667037972386663756037155391473603736734
Ireland4921150021504185011848730501215032050312
Israel45838463414703946639447394423843326
Italy4713048731490304853048333462364663145722
Jamaica37767
Japan53655276532553665297523953455572
Jordan361734006538067386573875038448
Kazakhstan4254642354460424324540548
South Korea52765267524755445463547454235473
Kosovo355753667536271
Latvia4832149624482344912648234486304832746321
Lebanon3936839663
Lithuania475244813547836479354773548629
Luxembourg48333486334902748928490274932344625
Macau55225583544353855251052585278
Malaysia40954440474464542148
Malta466334723947935
Mexico3955740961408594135041946406453853638731
Moldova414504215542052
Mongolia42547
Montenegro406554305341854410514034939946
Morocco3657136874
Netherlands493105199512115238526953155384
New Zealand479234942749521500215191152210523115374
Macedonia38962394673716938133
Norway4683250119502194892849819490284952249913
Palestinian Authority36669
Panama3577435376
Paraguay33880
Peru391594006438765368613655729236
Philippines3557635377
Poland4891551610504175181249523495244902447020
Portugal4722949228492294872948731466354663045423
Qatar414514146040261376593685631852
Romania42845430524444644542427424154242629
Russia48830494234823246836476324682947818
Serbia4404244846
Saudi Arabia3896137373
Singapore57515692564157315621
Slovakia46435486324753848233497214922549821
Slovenia485195091451014501195011850418
Spain4732748134486324843148332480314852647619
Sweden4822250217494244783649424502205091651011
Switzerland508851511521853175346530652795297
Thailand3945841957415564274641945417414173543227
Trinidad and Tobago4175541447
Tunisia3677038856371543655135938
Turkey45339454424205144841445404244042333
Ukraine4414145343
United Arab Emirates43143435504274943444
United Kingdom489145021849227494244922649523508175297
United States4653447837470404813448729474334832849315
Uruguay40953418584185340952427434273942234
Uzbekistan36472
Vietnam469314952251115
Science
Country202220182015201220092006
ScoreRankScoreRankScoreRankScoreRankScoreRankScoreRank
International Average (OECD)485489493501501498
Albania3767041759427543975839154
Algeria37672
Argentina406604046543252
Australia5071050317510145211452795278
Austria491234902849526506214942851117
China B-S-J-G51810
China B-S-J-Z5901
Azerbaijan Baku3806839868
Belarus47137
Belgium491244992050220505225071951018
Bosnia and Herzegovina39867
Brazil403624046640166402554054939049
Brunei4464243150
Bulgaria421504245644646446434394243440
Argentina CABA4753842549
Cambodia34781
Canada515851885287525952975343
Chile444434444544745445444474143839
Taiwan537451610532452311520115324
Colombia411544136241660399564025038850
Costa Rica41155416604205842947
Croatia483314723647537491324863549325
Cyprus411564394743351
Czech Republic498184972149329508205002251314
Denmark494204932550221498254992449623
Dominican Republic360773367833273
El Salvador37372
Estonia526653045343541552885315
Finland511952265315545455415631
France487264932449527499244982549524
Georgia384663837341163
Germany492225031650916524105201251612
Greece441444524445544467404703847337
Guatemala37373
Hong Kong520751795239555154925422
Hungary486274813247735494305032050420
Iceland447414753547339478374962649126
Indonesia383673967040365382603835539348
Ireland504124962250319522135081850819
Israel465374624246740470394553945438
Italy477334684048134494314893347535
Jamaica40363
Japan547252955382547353945316
Jordan375714295140964409544154742243
Kazakhstan4234939769456434254840053
South Korea52855197516115386538552210
Kosovo357783657537871
Latvia494194872949031502234942949027
Lebanon3847238668
Lithuania484294823147536496284913148831
Luxembourg4773448333491334843648633
Macau543354435296521155111651116
Malaysia41652438484434742050
Malta466364574346541
Mexico410574195741661415524164641047
Moldova417514285242853
Mongolia41253
Montenegro403614156141162410534015141246
Morocco3657637774
Netherlands48825503155091752212522105259
New Zealand5041150812513125161653265307
Macedonia380694136338470
Norway478324902749824495295002348732
Palestinian Authority36974
Panama3886536576
Paraguay36875
Peru4085940464397673736136957
Philippines3567935777
Poland49917511115012252685081749822
Portugal484304922650123489344933047436
Qatar432464195841859384593795634952
Romania428484265543550439464284341845
Russia4783348732486354783747934
Serbia4474044046
Saudi Arabia3906438671
Singapore56115512556155125423
Slovakia462384644146142471384903248829
Slovenia500145071351313514185121551911
Spain485284833049330496274883448830
Sweden494214991949328485364952750321
Switzerland503134952350618515175171351215
Thailand409584265342157444454254542144
Trinidad and Tobago4255641048
Tunisia38669398574015238651
Turkey476344683942555463414544042442
Ukraine4503946938
United Arab Emirates43247434494374844842
United Kingdom500155051450915514195141451513
United States499165021849625497265022148928
Uruguay435454265443549416514274442841
Uzbekistan35580
Vietnam4723552585287
Reading
Country20222018201520122009200620032000
ScoreRankScoreRankScoreRankScoreRankScoreRankScoreRankScoreRankScoreRank
International Average (OECD)476487493496493489494493
Albania358734056140563394583855534939
Algeria35071
Argentina401584026342556
Australia498125031650316512125158513752545284
Austria4802148427485334902647037490214912249219
China B-S-J-G49427
China B-S-J-Z5551
Azerbaijan Baku3656938968
Belarus47436
Belgium4792349322499205091650610501115071150711
Bosnia and Herzegovina40362
Brazil4105241357407624075241249393474033639636
Brunei4294440859
Bulgaria40457420544324943647429424024343032
Argentina CABA4753842948
Cambodia32981
Canada50785206527352375245527452835342
Chile44837452434594244143449414423741035
Taiwan5155503174972352384952149615
Colombia409544125842557403544134838549
Costa Rica41550426494275244145
Croatia475264792948731485334763447729
Cyprus381634245044345
Czech Republic4891749025487304932447832483254892449220
Denmark4891550118500184962349522494184921949716
Dominican Republic351743427635869
El Salvador36570
Estonia511652355196516105011250112
Finland490145207526452455362547254315461
France4742949323499195051949620488224961750514
Georgia374673807040165
Germany4802249820509115081849718495174912148422
Greece4384145742467414773848330460354723047425
Guatemala37466
Hong Kong500115244527254515333536351095256
Hungary4733147633470404882849424482264822548023
Iceland4364247435482354833550015484234922050712
Indonesia3597137172397673965740253393463823837138
Ireland516251885215523649619517651565275
Israel47430470374793748632474354393945229
Italy4822047632485344902548627469324762948721
Jamaica41053
Japan51635041551685383520749814498145229
Jordan342784195540861399554055140144
Kazakhstan3866138769427543935939054
South Korea51545149517753645391556153425257
Kosovo342773537534772
Latvia4752747930488294892748428479274912345828
Lebanon3537434773
Lithuania472324763447239477374683847031
Luxembourg47038481364883047236479284792744130
Macau510752535091250915487264922049815
Malaysia38860415564315039856
Malta445394484444744
Mexico4154942053423584244942544410424003742234
Moldova411514245141659
Mongolia37865
Montenegro405564215242755422504085039248
Morocco3397935973
Netherlands459354852650315511135089507105138
New Zealand501105061250910512115216521552255293
Macedonia35972393673527037337
Norway477254991951395042050311484245001250513
Palestinian Authority34975
Panama3925937771
Paraguay37368
Peru408554016439866384613705732740
Philippines3477634077
Poland48916512105061351895001450884971647924
Portugal4772449224498214883148925472304782847026
Qatar419474076040264388603725631251
Romania42845428474344743846424453964542833
Russia47931495264754045940440384423246227
Serbia4404043945
Saudi Arabia3836239965
Singapore54315492535154225264
Slovakia44738458414534346341477334663346931
Slovenia469334952150514481364832949419
Spain47428496254882948131461344812649318
Sweden48718506115001748334497175079514751610
Switzerland4831948428492285091450113499134991349417
Thailand3796439366409604414442146417404203543131
Trinidad and Tobago4275341647
Tunisia3616840453404523805037539
Turkey45636466404285147539464394473644133
Ukraine4284646639
United Arab Emirates41748432464344844242
United Kingdom494135041449822499214942349516507105238
United States5049505134972449822500164951850415
Uruguay43043427484374641151426434134143434
Uzbekistan33680
Vietnam462344873250817

Previous years

PeriodFocusOECD countriesPartner countriesParticipating studentsNotes
2000Reading284 + 11265,000The Netherlands disqualified from data analysis. 11 additional non-OECD countries took the test in 2002.
2003Mathematics3011275,000UK disqualified from data analysis, due to its low response rate. Also included test in problem solving.
2006Science3027400,000Reading scores for US disqualified from analysis due to misprint in testing materials.
2009Reading3441 + 10470,00010 additional non-OECD countries took the test in 2010.
2012Mathematics3537510,000
2015Science3431509,000
2018Reading3742600,000
2022Mathematics3744690,000

Reception

China

China's participation in the 2012 test was limited to Shanghai, Hong Kong, and Macau as separate entities. In 2012, Shanghai participated for the second time, again topping the rankings in all three subjects, as well as improving scores in the subjects compared to the 2009 tests. Shanghai's score of 613 in mathematics was 113 points above the average score, putting the performance of Shanghai pupils about 3 school years ahead of pupils in average countries. Educational experts debated to what degree this result reflected the quality of the general educational system in China, pointing out that Shanghai has greater wealth and better-paid teachers than the rest of China. Hong Kong placed second in reading and science and third in maths.

Andreas Schleicher, PISA division head and co-ordinator, stated that PISA tests administered in rural China have produced some results approaching the OECD average. Citing further as-yet-unpublished OECD research, he 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 believes that China has also expanded school access and has moved away from learning by rote, performing well in both rote-based and broader assessments.

In 2018 the Chinese provinces that participated were Beijing, Shanghai, Jiangsu and Zhejiang. In 2015, the participating provinces were Jiangsu, Guangdong, Beijing, and Shanghai. The 2015 Beijing-Shanghai-Jiangsu-Guangdong cohort scored a median 518 in science in 2015, while the 2012 Shanghai cohort scored a median 580.

Critics of PISA counter that in Shanghai and other Chinese cities, most children of migrant workers can only attend city schools up to the ninth grade, and must return to their parents' hometowns for high school due to hukou restrictions, thus skewing the composition of the city's high school students in favor of wealthier local families. A population chart of Shanghai reproduced in The New York Times shows a steep drop off in the number of 15-year-olds residing there. According to Schleicher, 27% of Shanghai's 15-year-olds are excluded from its school system (and hence from testing). As a result, the percentage of Shanghai's 15-year-olds tested by PISA was 73%, lower than the 89% tested in the US. Following the 2015 testing, OECD published in-depth studies on the education systems of a selected few countries including China.

In 2014, Liz Truss, then the British Parliamentary Under-Secretary of State at the Department for Education, led a fact-finding visit to schools and teacher-training centres in Shanghai. Britain increased exchanges with Chinese teachers and schools to find out how to improve quality. In 2014, 60 teachers from Shanghai were invited to the UK to help share their teaching methods, support pupils who are struggling, and help to train other teachers. In 2016, Britain invited 120 Chinese teachers, planning to adopt Chinese styles of teaching in 8,000 aided schools. By 2019, approximately 5,000 of Britain's 16,000 primary schools had adopted the Shanghai's teaching methods. The performance of British schools in PISA improved after adopting China's teaching styles.

Finland

Finland, which received several top positions in the first tests, fell in all three subjects in 2012, but remained the best performing country overall in Europe, achieving their best result in science with 545 points (5th) and worst in mathematics with 519 (12th) in which the country was outperformed by four other European countries. The drop in mathematics was 25 points since 2003, the last time mathematics was the focus of the tests. For the first time Finnish girls outperformed boys in mathematics narrowly. It was also the first time pupils in Finnish-speaking schools did not perform better than pupils in Swedish-speaking schools. Former minister of Education and Science Krista Kiuru expressed concern for the overall drop, as well as the fact that the number of low-performers had increased from 7% to 12%.

India

India participated in the 2009 round of testing but pulled out of the 2012 PISA testing, with the Indian government attributing its action to the unfairness of PISA testing to Indian students. India had ranked 72nd out of 73 countries tested in 2009. The Indian Express reported, "The ministry (of education) has concluded that there was a socio-cultural disconnect between the questions and Indian students. The ministry will write to the OECD and drive home the need to factor in India's "socio-cultural milieu". India's participation in the next PISA cycle will hinge on this". The Indian Express also noted that "Considering that over 70 nations participate in PISA, it is uncertain whether an exception would be made for India".

India did not participate in the 2012, 2015 and 2018 PISA rounds.

A Kendriya Vidyalaya Sangathan (KVS) committee as well as a group of secretaries on education constituted by the Prime Minister of India Narendra Modi recommended that India should participate in PISA. Accordingly, in February 2017, the Ministry of Human Resource Development under Prakash Javadekar decided to end the boycott and participate in PISA from 2020. To address the socio-cultural disconnect between the test questions and students, it was reported that the OECD will update some questions. For example, the word avocado in a question may be replaced with a more popular Indian fruit such as mango.

India did not participate in the 2022 PISA rounds citing due to COVID-19 pandemic disruption.

Malaysia

In 2015, the results from Malaysia were found by the OECD to have not met the maximum response rate. Opposition politician Ong Kian Ming said the education ministry tried to oversample high-performing students in rich schools.

Sweden

Sweden's result dropped in all three subjects in the 2012 test, which was a continuation of a trend from 2006 and 2009. It saw the sharpest fall in mathematics performance with a drop in score from 509 in 2003 to 478 in 2012. The score in reading showed a drop from 516 in 2000 to 483 in 2012. The country performed below the OECD average in all three subjects. The leader of the opposition, Social Democrat Stefan Löfven, described the situation as a national crisis. Along with the party's spokesperson on education, Ibrahim Baylan, he pointed to the downward trend in reading as most severe.

In 2020, Swedish newspaper Expressen revealed that Sweden had inflated their score in PISA 2018 by not conforming to OECD standards. According to professor Magnus Henrekson a large number of foreign-born students had not been tested.

United Kingdom

In the 2012 test, as in 2009, the result was slightly above average for the United Kingdom, with the science ranking being highest (20). England, Wales, Scotland and Northern Ireland also participated as separated entities, showing the worst result for Wales which in mathematics was 43rd of the 65 countries and economies. Minister of Education in Wales Huw Lewis expressed disappointment in the results, said that there were no "quick fixes", but hoped that several educational reforms that have been implemented in the last few years would give better results in the next round of tests. The United Kingdom had a greater gap between high- and low-scoring students than the average. There was little difference between public and private schools when adjusted for socio-economic background of students. The gender difference in favour of girls was less than in most other countries, as was the difference between natives and immigrants.

Writing in the Daily Telegraph, Ambrose Evans-Pritchard warned against putting too much emphasis on the UK's international ranking, arguing that an overfocus on scholarly performances in East Asia might have contributed to the area's low birthrate, which he argued could harm the economic performance in the future more than a good PISA score would outweigh.

In 2013, the Times Educational Supplement (TES) published an article, "Is PISA Fundamentally Flawed?" by William Stewart, detailing serious critiques of PISA's conceptual foundations and methods advanced by statisticians at major universities.

In the article, Professor Harvey Goldstein of the University of Bristol was quoted as saying that when the OECD tries to rule out questions suspected of bias, it can have the effect of "smoothing out" key differences between countries. "That is leaving out many of the important things," he warned. "They simply don't get commented on. What you are looking at is something that happens to be common. But (is it) worth looking at? PISA results are taken at face value as providing some sort of common standard across countries. But as soon as you begin to unpick it, I think that all falls apart."

Queen's University Belfast mathematician Dr. Hugh Morrison stated that he found the statistical model underlying PISA to contain a fundamental, insoluble mathematical error that renders Pisa rankings "valueless". Goldstein remarked that Dr. Morrison's objection highlights "an important technical issue" if not a "profound conceptual error". However, Goldstein cautioned that PISA has been "used inappropriately", contending that some of the blame for this "lies with PISA itself. I think it tends to say too much for what it can do and it tends not to publicise the negative or the weaker aspects." Professors Morrison and Goldstein expressed dismay at the OECD's response to criticism. Morrison said that when he first published his criticisms of PISA in 2004 and also personally queried several of the OECD's "senior people" about them, his points were met with "absolute silence" and have yet to be addressed. "I was amazed at how unforthcoming they were," he told TES. "That makes me suspicious." "Pisa steadfastly ignored many of these issues," he says. "I am still concerned."

Professor Svend Kreiner, of the University of Copenhagen, agreed: "One of the problems that everybody has with PISA is that they don't want to discuss things with people criticising or asking questions concerning the results. They didn't want to talk to me at all. I am sure it is because they can't defend themselves.

United States

Since 2012 a few states have participated in the PISA tests as separate entities. Only the 2012 and 2015 results are available on a state basis. Puerto Rico participated in 2015 as a separate US entity as well.

2012 US State results
MathematicsScienceReading
Massachusetts 514 Connecticut 506 United States US Average 481 Florida 467Massachusetts 527 Connecticut 521 United States US Average 497 Florida 485Massachusetts 527 Connecticut 521 United States US Average 498 Florida 492
Massachusetts514
Connecticut506
United States US Average481
Florida467
Massachusetts527
Connecticut521
United States US Average497
Florida485
Massachusetts527
Connecticut521
United States US Average498
Florida492
2015 US State results
MathematicsScienceReading
Massachusetts 500 North Carolina 471 United States US Average 470 Puerto Rico 378Massachusetts 529 North Carolina 502 United States US Average 496 Puerto Rico 403Massachusetts 527 North Carolina 500 United States US Average 497 Puerto Rico 410
Massachusetts500
North Carolina471
United States US Average470
Puerto Rico378
Massachusetts529
North Carolina502
United States US Average496
Puerto Rico403
Massachusetts527
North Carolina500
United States US Average497
Puerto Rico410

PISA results for the United States by race and ethnicity

Mathematics
Race2022201820152012200920062003
ScoreScoreScoreScoreScoreScoreScore
Asian543539498549524494506
White498503499506515502512
US Average465478470481487474483
More than one race476474475492487482502
Hispanic439452446455453436443
Other423436460446446
Black412419419421423404417
Science
Race202220182015201220092006
ScoreScoreScoreScoreScoreScore
Asian578551525546536499
White537529531528532523
US Average499502496497502489
More than one race513502503511503501
Hispanic471478470462464439
Other462439465453
Black445440433439435409
Reading
Race20222018201520122009200620032000
ScoreScoreScoreScoreScoreScoreScoreScore
Asian579556527550541513546
White537531526519525525538
US Average504505497498500495504
More than one race512501498517502515
Hispanic481481478478466453449
Black459448443443441430445
Other440438462456455

Research on possible causes of PISA disparities in different countries

Although PISA and TIMSS officials and researchers themselves generally refrain from hypothesizing about the large and stable differences in student achievement between countries, since 2000, literature on the differences in PISA and TIMSS results and their possible causes has emerged. Data from PISA have furnished several researchers, notably Eric Hanushek, Ludger Wößmann, Heiner Rindermann, and Stephen J. Ceci, with material for books and articles about the relationship between student achievement and economic development, democratization, and health; as well as the roles of such single educational factors as high-stakes exams, the presence or absence of private schools and the effects and timing of ability tracking.

Critics and comments on accuracy

David Spiegelhalter of Cambridge wrote: "Pisa does present the uncertainty in the scores and ranks - for example the United Kingdom rank in the 65 countries is said to be between 23 and 31. It's unwise for countries to base education policy on their Pisa results, as Germany, Norway and Denmark did after doing badly in 2001."

According to Forbes, an American media outlet, in an opinion article, some countries such as China, Hong Kong, Macau, and Argentina select PISA samples from only the best-educated areas or from their top-performing students, slanting the results.

According to an open letter to Andreas Schleicher, director of PISA, various academics and educators argued that "OECD and Pisa tests are damaging education worldwide".

According to O Estado de São Paulo, Brazil shows a great disparity when classifying the results between public and private schools, where public schools would rank worse than Peru, while private schools would rank better than Finland.

According to a 2023 book, PISA is failing in its mission. It suggests that flatlined student outcomes and policy shortcomings have much to do with PISA's implicit ideological biases, structural impediments such as union advocacy, and conflicts of interest.

See also

Explanatory notes

External links

  • OECD (1999). . Paris: OECD. ISBN 92-64-17053-7. Archived from (PDF) on 13 March 2005. OECD (2014). .
  • —Interview of Gunda Tire, OECD PISA National Project Manager, for Caucasian Journal