BRAZIL
Key findings
Key findings
• While Brazil performs below the OECD average, its mean performance in mathematics has
improved since 2003 from 356 to 391 score points, making Brazil the country with the
largest performance gains since 2003. Significant improvements are also found in reading
and science.
• Improvements have been particularly strong among low performers in mathematics, reading
and science.
• Between 2003 and 2012, Brazil also expanded enrolment in primary and secondary schools,
with enrolment rates for 15-year-olds growing from 65% in 2003 to 78% in 2012.
• The disciplinary climate in Brazilian schools was better in 2012 than in 2003, and schools
were able to attract and retain qualified teachers more easily.
• Grade repetition is still widespread in Brazil, is negatively associated with performance in
mathematics, and is more prevalent among disadvantaged students. Brazil needs to look for
more effective ways to work with low-performing students in order to establish high
expectations for all, motivate students, and reduce high dropout rates.
Student performance in mathematics, reading and science
Brazil performs below the average in mathematics (ranks between 57 and 60), reading (ranks
between 54 and 56) and science (ranks between 57 and 60) among the 65 countries and economies
that participated in the 2012 PISA assessment of 15-year-olds.
Mean mathematics performance
• Students in Brazil score 391 points in mathematics, on average – below the OECD average
and comparable with Albania, Argentina, Jordan and Tunisia. Among Latin American
countries, Brazil performs below Chile, Mexico, Uruguay and Costa Rica, but above Colombia
and Peru.
• Brazil’s mean performance has improved since 2003 from 356 to 391 score points, showing
an annualised change of 4.1 score points. Figures accounting for social and demographic
changes between 2003 and 2012 show that this improvement in mathematics performance
results, for about half, from improvements in the economic, social and cultural status of the
student population.
BRAZIL – Country Note –Results from PISA 2012
Share of top- and low-performing students in mathematics
Changes in a country’s average performance can result from changes among low performers (those
who perform below the baseline Level 2) and/or among top performers (those who perform at Level
5 or 6). Between 2003 and 2012, performance gains in Brazil can largely be attributed to a reduction
in the proportion of low-performing students.
• Some 67.1% of students are low performers in mathematics, meaning that, at best, they can
extract relevant information from a single source and can use basic algorithms, formulae,
procedures or conventions to solve problems involving whole numbers. This proportion in
2012 is above the OECD average, but decreasing from an even higher share in 2003 (75.2%).
• Some 1.1% of students are top performers in mathematics, meaning that they can develop
and work with models for complex situations, and work strategically using broad, well-
developed thinking and reasoning skills. This proportion is stable and smaller than on
average across the OECD.
Gender differences in mathematics
• In 2012, Brazilian boys scored 18 points higher in mathematics than girls, on average; this
gender gap is larger than the OECD average, and remained stable since 2003.
Student performance in different areas of mathematics
• Among the three mathematical processes measured in PISA, Brazil’s 15-year-old students
have the highest mean scores in interpreting, applying and evaluating mathematical outcomes.
They have the lowest mean scores in formulating situations mathematically, and perform
close to their overall performance level in employing mathematical concepts, facts, procedures
and reasoning.
• Among the four content areas distinguished in PISA within mathematics, Brazilian students
performed strongest in uncertainty and data, and weakest in change and relationships. Their
performance in space and shape was also somewhat below their overall performance, while
their performance in quantity was close to their overall performance.
The strengths and weaknesses of Brazilian students highlighted by the content subscales may reflect
differences in curriculum priorities and in course content available to 15-year-olds. The change and
relationships subscale, where Brazilian students struggle the most, is most closely linked to algebra
and the study of mathematical functions.
Mean reading performance
• Students in Brazil score 410 points in reading, on average – below the OECD average and
comparable with Colombia, Tunisia and Uruguay. Among Latin American countries, Brazil
performs below Chile, Costa Rica and Mexico, but above Argentina and Peru.
• Brazil’s mean performance has improved since 2000 from 396 to 410 score points, showing
an annualised change of 1.2 score points. Figures accounting for social and demographic
changes between 2000 and 2012 show that this improvement in reading performance can be
entirely explained by improvements in the economic, social and cultural status of the student
population.
© OECD 2
BRAZIL – Country Note –Results from PISA 2012
Share of top- and low-performing students in reading
• In 2012, about half (49.2%) of students in Brazil performed below the baseline level of
proficiency (Level 2), meaning that, at best, they can recognise the main theme or author’s
purpose in a text about a familiar topic and make a simple connection between information
in the text and everyday knowledge. This proportion is larger than the OECD average. In
2000, the proportion of low-performing students was 55.8%.
• The improvement in reading performance between 2000 and 2012 has been most
pronounced among students with the lowest levels of performance (performing at the 10th
and 25th percentile).
• Only one in two-hundred students (0.5%) perform at or above Level 5, meaning that they can
handle texts that are unfamiliar in either form or content and can conduct fine-grained
analyses of texts.
Gender differences in reading performance
• Girls outperform boys in reading by an average of 31 score points. This gender gap has
increased since 2000 (17 score points) but remains below the gender gap observed across
OECD countries, on average (38 score points).
• While the proportion of low-performing boys has remained stable over time (57.2% in 2012),
the proportion of low-performing girls in reading has decreased by more than 10 percentage
points since 2000, from 52.1% to 41.9%.
Mean science performance
• Students in Brazil score 405 points in science, on average – below the OECD average and
comparable with Argentina, Colombia, Jordan and Tunisia. Among Latin American countries,
Brazil performs below Chile, Costa Rica, Uruguay and Mexico, but above Peru.
• Brazil’s mean performance has improved since 2006 from 390 to 405 score points, showing
an annualised change of 2.3 score points. Roughly half of this increase can be accounted for
by changes in the demographic and socio-economic composition of the student population.
Share of top- and low-performing students in science
• Some 61.0% of students in Brazil are low performers in science, meaning that, at best, they
can present scientific explanations that are obvious and follow explicitly from given evidence.
• The share of students performing above the baseline level of proficiency in science has
increased by 7.3% between 2006 and 2012. Performance gains have been particularly
sustained among the lowest-performing students (at the 10th and 25th percentile), similar to
what is observed in mathematics and reading.
• Very few students (0.3%) in Brazil are top performers in science, meaning that they can
identify, explain and apply scientific knowledge and knowledge about science in a variety of
complex life situations. No significant improvements in performance are found among the
highest-performing students.
Gender differences in science performance
• In Brazil, as well as on average across the OECD, boys and girls perform at similar levels in
© OECD 3
© OECD 3
science.
BRAZIL – Country Note –Results from PISA 2012
• The performance of both boys and girls improved in science between 2006 and 2012,
particularly among low-performing students.
Context for student achievement: Better access to primary and secondary
education
Over the last decade, Brazil has greatly expanded enrolment in primary and secondary schools.
While in 1995, 90% of seven-year-olds were enrolled in primary schools, only half of them continued
to finish eighth grade. In 2003, 35% of 15-year-olds were not enrolled in school in grade 7 or above;
by 2012 this percentage had shrunk to 22%.
• Between PISA 2003 and PISA 2012, Brazil added more than 425 000 students to the total
population of 15-year-olds enrolled in grade 7 or above, an increase of 18%. This is the
second-largest increase after Indonesia.
• Enrolment rates for 15-year-olds increased, from 65% in 2003 to 78% in 2012. Many of the
students who are now included in the school system come from rural communities or socio-
economically disadvantaged families, so the population of students who participated in the
PISA 2012 assessment is very different from that of 2003.
PISA compares the performance of 15-year-old students who are enrolled in schools; but for those
countries where this population has changed dramatically in a short period of time, such data may
not reflect how students’ performance is changing beyond changes in enrolment. Under the
assumption that the newly enrolled students perform in the bottom quarter of mathematics
performance, Brazil’s improvement in mathematics, had enrolment rates retained their 2003 levels,
would have been 56 score points. Similarly, if the assumption is that newly enrolled students come
from the bottom quarter of the socio-economic distribution, Brazil’s improvement in mathematics
between 2003 and 2012 would have been 44 score points had enrolment rates not increased since
2003. Still, it is the observed enrolment rates and the observed performance in 2003 and 2012 that
truly reflect the student population, its performance and the education challenges facing Brazil.
Brazil’s increases in coverage are remarkable. However, although practically all students aged 7-14
start school at the beginning of the year, drop-out rates remain large. They leave because the
curriculum isn’t engaging, or because they want or need to work, or because of the prevalence of
grade repetition.
Giving every student the chance to succeed
Equity and performance
Australia, Canada, Estonia, Finland, Hong Kong-China, Japan, Korea, Liechtenstein and Macao-China
achieve high levels of performance and equity in education outcomes as assessed in PISA 2012.
Across OECD countries, 15% of the variation in student performance in mathematics is attributed to
differences in students’ socio-economic status.
• In Brazil, equity in education outcomes is close to the OECD average as 15.7% of the variation
in student performance in mathematics is attributed to differences in students’ socio-
economic status.
• Across OECD countries, a more socio-economically advantaged student scores 39 points
higher in mathematics – the equivalent of nearly one year of schooling – than a less-
advantaged student. In Brazil, a more socio-economically advantaged student scores 26
points higher in mathematics—a difference that is below the OECD average.
© OECD 4
BRAZIL – Country Note –Results from PISA 2012
Changes between 2003 and 2012 in equity and performance
Of the 39 countries and economies that participated in both PISA 2003 and 2012, Germany, Mexico
and Turkey improved both their mathematics performance and their levels of equity in education
during the period.
• Brazil has improved its performance, while equity remained stable during this period.
• The improvement in performance is not limited to students with the lowest socio-economic status, but is equally strong among students from lower- and upper-middle class families
• The improvement in performance is not limited to students with the lowest socio-economic status, but is equally strong among students from lower- and upper-middle class families
(second and third quarter of economic, social, and cultural status).
Percentage of resilient students
Across OECD countries, 26% of disadvantaged students – the equivalent of 6.5% of the entire
student population – are “resilient”, meaning that they beat the socio-economic odds against them
and exceed expectations in performance. In Hong Kong-China, Korea, Macao-China, Singapore and
Viet Nam, more than half of all disadvantaged students, or 12.5% of the overall student population,
are considered resilient.
• Some 1.9% of student in Brazil are resilient. This is less than the OECD average and the
proportion remained stable since 2003.
Access to resources
OECD countries allocate at least an equal, if not a larger, number of mathematics teachers to socio-
economically disadvantaged schools as to advantaged schools.
• In Brazil, the student-teacher ratio in advantaged schools is 22.9, while in disadvantaged
schools it is 31.3 – meaning that there are fewer teachers in disadvantaged schools than in
advantaged schools.
Students’ engagement, drive and self-beliefs
Students’ engagement with school, the belief that they can achieve at high levels, and their ability
and willingness to do what it takes to reach their goals not only play a central role shaping students’
ability to master academic subjects, they are also valuable attributes that will enable students to lead
full lives, meeting challenges and making the most of available opportunities along the way. In other
words, much more is required of students – and adults – than just cognitive proficiency.
Engagement with and at school
Students who arrive late or play truant miss learning opportunities. They also disrupt class, creating
a disciplinary climate that is not conducive to learning for their fellow students. On average across
OECD countries, 35.3% of students reported that they arrived late for school in the two weeks before
the PISA test, and 14.5% of students reported that they had skipped an entire day of school or more
over the same period.
• In Brazil 33.7% of students reported that they had arrived late for school in the two weeks
before the PISA test, and more than one in five students (20.7%) reported that they had
skipped a day of school or more over the same period.
Across most countries and economies that participated in PISA 2012, students who attend schools
with better teacher-student relations are less likely to have reported that they had arrived late for
© OECD 5
BRAZIL – Country Note –Results from PISA 2012
school in the two weeks before the PISA test. In Brazil too, negative teacher-student relations are
strongly associated with students’ lack of punctuality.
• Between PISA 2003 and PISA 2012, the percentage of students reporting that they had
arrived late for school decreased by 3 percentage points in Brazil, signalling that students’
engagement with school improved in the period.
For the first time, PISA 2012 asked students to evaluate their happiness at, and satisfaction with,
school and to reflect on whether their school environment approaches their idea of an ideal situation.
As schools are a, if not the, primary social environment for 15-year-olds, these subjective evaluations
provide a good indication of whether education systems are able to foster or hinder overall student
well-being.
Across OECD countries, some 80% of students feel happy at school, 78% are satisfied with school,
and 61% believe that conditions are ideal in their school.
• Some 85% of students in Brazil reported that they feel happy at school; and some 73% of
students are satisfied with schools. However, only 39% believe that conditions are ideal in
their school.
In 2012, as in 2003, PISA asked students to report whether they “strongly agree”, “agree”, “disagree”
or “strongly disagree” that they feel like an outsider or left out of things, that they make friends
easily, that they feel like they belong, that they feel awkward and out of place, that other students
seem to like them, or that they feel lonely.
• Worryingly, in Brazil students’ sense of belonging at school deteriorated between 2003 and
2012: for instance, while in 2003 only 8% of students reported that they feel lonely, this
Driveproportion more than doubled (to 19%) by 2012.
Motivation can be regarded as the driving force behind learning. Intrinsic motivation refers to the
drive to perform an activity because of the pleasure and interest in the activity itself. Across OECD
countries large proportions of students reported low levels of enjoyment of mathematics.
• Brazilian students show higher motivation than students across OECD countries, on average.
For example, 53% of students in OECD countries agreed or strongly agreed that they are
interested in the things they learn in mathematics. In Brazil, 73% of students agreed or
strongly agreed with this statement.
Self-beliefs
Because students who are anxious about mathematics tend to avoid mathematics, mathematics
courses and career paths that require mathematical skills, high levels of mathematics anxiety among
students can have serious repercussions not only in the short term, on their performance in
mathematics, but in the long term, as manifested in skills shortages in key sectors of the labour
market.
• The proportion of students who reported high levels of mathematics anxiety in Brazil was
above the OECD average. While across OECD countries 31% of students, on average, reported
that they get very nervous when doing mathematics problems, 49% of students in Brazil
reported so.
• In Brazil, greater mathematics anxiety is associated with a 34-point lower score in
mathematics – the same difference found, on average, across OECD countries and the
© OECD 6
BRAZIL – Country Note –Results from PISA 2012
equivalent of almost one year of school. Between 2003 and 2012, the level of anxiety towards
mathematics remained stable.
Resources, policies and practices
The learning environment
In Brazil, as in most countries, schools in which fewer students arrive late for class and where the
disciplinary climate is more conducive to learning perform better in mathematics, even after
accounting for socio-economic status and other school differences.
• Between 2003 and 2012, Brazil was able to reduce the proportion of schools in which more
than 25% of students regularly arrive late for class, and to improve the disciplinary climate
in its classrooms. In 2003, 63% of students reported that, in most or all lessons, students
don’t start working for a long time after the lesson begins; by 2012 that proportion had
dropped to 44%.
• Despite an increase in the student population, the proportion of students who are in schools
whose principal reported that the school’s capacity to provide instruction is hindered a lot by
a lack of qualified teachers shrank notably between 2003 and 2012.
By all measures, Brazil appears to have been successful in ensuring that the learning environment is
more conducive to learning, and that schools are able to attract and retain qualified teachers. These
improvements in the learning environment may explain why performance improved to a greater
extent than what could have been predicted based on improvements in the country’s socio-economic
conditions alone.
Resource allocation to advantaged and disadvantaged schools
Brazil must find ways to support socio-economically disadvantaged schools more strongly in order
to establish a level playing field for all students.
Brazil spends the equivalent of USD 26 765 on education per student between the ages of 6 and 15 –
about one-third of the average OECD expenditure (USD 83 382). Brazil’s per capita GDP, (equivalent
to USD 12 237,) is also just over one-third of the average per capita GDP (USD 33 732) across OECD
countries.
PISA results show a positive relation between the resources invested in education and performance,
but only up to a certain point. PISA also shows that at all levels of expenditure, higher-performing
countries tend to distribute educational resources more equitably between socio-economically
advantaged and disadvantaged schools.
• In Brazil, the schools serving more advantaged students, which include many private schools,
have access to better educational resources, better physical infrastructure, and report fewer
problems of attracting and retaining qualified teachers.
• In Brazil, about 13% of 15-year-old students go to a private, independent school. On average,
private schools show better performance in PISA. While their students overwhelmingly come
from advantaged families, the performance advantage is apparent even after accounting for
socio-economic status. For the more affluent families, private schools – which provide access
to better educational resources, better physical infrastructure, and have lower student-
teacher ratios – are associated with better learning outcomes.
• Between 2003 and 2012 the performance gap between public and private schools narrowed
in Brazil.
© OECD 7
© OECD 7
Grade repetition
BRAZIL – Country Note –Results from PISA 2012
• In Brazil, more than one in three (36%) 15-year-old students had repeated a grade at least
once in primary or secondary school; many had been held back more than once. This is one
of the highest rates of grade repetition among countries participating in PISA. Grade
repetition in Brazil is negatively associated with performance in mathematics and is more
prevalent among disadvantaged students.
• Between 2003 and 2012, the proportion of 15-year-olds who had repeated a grade in
primary school declined, but the prevalence of grade repetition increased in upper secondary
school. Overall, the proportion of students who had repeated a grade at least once remained
stable.
The pervasiveness of grade repetition in Brazil has been linked to high dropout rates, high levels of
student disengagement, and the more than 12 years, on average, that it takes students to complete
eight grades of primary school. It is important to reduce the use of grade repetition by finding other,
more effective ways to work with students from across the performance spectrum, and to establish
high expectations for all students, in order to motivate and provide opportunities for all students.
© OECD 8
BRAZIL – Country Note –Results from PISA 2012
Snapshot of performance in mathematics, reading and science
OECD average
Shanghai-China Singapore
Hong Kong-China Chinese Taipei Korea Macao-China Japan Liechtenstein Switzerland Netherlands Estonia
Finland
Canada
Poland Belgium Germany
Viet Nam Austria Australia Ireland
Slovenia Denmark
New Zealand Czech Republic France
United Kingdom Iceland
Latvia Luxembourg Norway Portugal
Italy
Spain
Russian Federation Slovak Republic United States Lithuania
Sweden
Hungary
Croatia
Israel
Greece
Serbia
Turkey
Romania
Cyprus
Bulgaria
United Arab Emirates Kazakhstan
Thailand
Chile
Malaysia
Mexico
Montenegro
Uruguay
Costa Rica
Albania
Brazil
Argentina
Tunisia
Jordan
Colombia
Qatar
Indonesia
Peru
Shanghai-China Singapore
Hong Kong-China Chinese Taipei Korea Macao-China Japan Liechtenstein Switzerland Netherlands Estonia
Finland
Canada
Poland Belgium Germany
Viet Nam Austria Australia Ireland
Slovenia Denmark
New Zealand Czech Republic France
United Kingdom Iceland
Latvia Luxembourg Norway Portugal
Italy
Spain
Russian Federation Slovak Republic United States Lithuania
Sweden
Hungary
Croatia
Israel
Greece
Serbia
Turkey
Romania
Cyprus
Bulgaria
United Arab Emirates Kazakhstan
Thailand
Chile
Malaysia
Mexico
Montenegro
Uruguay
Costa Rica
Albania
Brazil
Argentina
Tunisia
Jordan
Colombia
Qatar
Indonesia
Peru
494
613 573 561 560 554 538 536 535 531
613 573 561 560 554 538 536 535 531
511
506
504
501
501
500
500
499
495
494
493
491
490
489
487
485
Countries/economies with a mean performance/share of top-performers above the OECD average
Countries/economies with a share of low-achievers below the OECD average
Countries/economies with a mean performance/share of low-achievers/share of top-performers not statistically
significantly different from the OECD average
Countries/economies with a mean performance/share of top-performers below the OECD average
Countries/economies with a share of low-achievers above the OECD average
Countries/economies in which the annualised change in performance is statistically significant are marked in bold.
Mean score
in PISA 2012
Share of low-
achievers
(Below Level 2)
23.1
3.8 8.3 8.5 12.8 9.1 10.8 11.1 14.1 12.4
3.8 8.3 8.5 12.8 9.1 10.8 11.1 14.1 12.4
14.2
18.7
19.7
16.9
20.1
16.8
22.6
21.0
22.4
21.8
21.5
19.9
24.3
22.3
24.9
24.7
23.6
24.0
27.5
25.8
Mathematics
Share of top-
performers in
mathematics
(Level 5 or 6)
12.6
55.4 40.0 33.7 37.2 30.9 24.3 23.7 24.8 21.4
55.4 40.0 33.7 37.2 30.9 24.3 23.7 24.8 21.4
19.3
14.6
15.3
16.4
16.7
19.4
17.5
Annualised
change
-0.3
4.2 3.8 1.3 1.7 1.1 1.0 0.4 0.3 0.6 -1.6 0.9 -2.8 -1.4 2.6 -1.6 1.4 m 0.0 -2.2 -0.6 -0.6 -1.8 -2.5 -2.5 -1.5 -0.3 -2.2 0.5 -0.3 -0.3 2.8 2.7 0.1 1.1 -1.4 0.3 -1.4 -3.3 -1.3 0.6 4.2 1.1 2.2 3.2 4.9 m 4.2 m 9.0 1.0 1.9 8.1 3.1 1.7 -1.4 -1.2 5.6 4.1 1.2 3.1 0.2 1.1 9.2 0.7 1.0
4.2 3.8 1.3 1.7 1.1 1.0 0.4 0.3 0.6 -1.6 0.9 -2.8 -1.4 2.6 -1.6 1.4 m 0.0 -2.2 -0.6 -0.6 -1.8 -2.5 -2.5 -1.5 -0.3 -2.2 0.5 -0.3 -0.3 2.8 2.7 0.1 1.1 -1.4 0.3 -1.4 -3.3 -1.3 0.6 4.2 1.1 2.2 3.2 4.9 m 4.2 m 9.0 1.0 1.9 8.1 3.1 1.7 -1.4 -1.2 5.6 4.1 1.2 3.1 0.2 1.1 9.2 0.7 1.0
Mean score
in PISA 2012
496
570 542 545 523 536 509 538 516 509
570 542 545 523 536 509 538 516 509
Reading
Annualised
change
0.3
4.6 5.4 2.3 4.5 0.9 0.8 1.5 1.3 1.0 -0.1 2.4 -1.7 -0.9 2.8 0.1 1.8 m -0.2 -1.4 -0.9 -2.2 0.1 -1.1 -0.5 0.0 0.7 -1.3 1.9 0.7 0.1 1.6 0.5 -0.3 1.1 -0.1 -0.3 1.1 -2.8 1.0 1.2 3.7 0.5 7.6 4.1 1.1 m 0.4 m 0.8 1.1 3.1 -7.8 1.1 5.0 -1.8 -1.0 4.1 1.2 -1.6 3.8 -0.3 3.0 12.0 2.3 5.2
4.6 5.4 2.3 4.5 0.9 0.8 1.5 1.3 1.0 -0.1 2.4 -1.7 -0.9 2.8 0.1 1.8 m -0.2 -1.4 -0.9 -2.2 0.1 -1.1 -0.5 0.0 0.7 -1.3 1.9 0.7 0.1 1.6 0.5 -0.3 1.1 -0.1 -0.3 1.1 -2.8 1.0 1.2 3.7 0.5 7.6 4.1 1.1 m 0.4 m 0.8 1.1 3.1 -7.8 1.1 5.0 -1.8 -1.0 4.1 1.2 -1.6 3.8 -0.3 3.0 12.0 2.3 5.2
Mean score
in PISA 2012
501
580 551 555 523 538 521 547 525 515
580 551 555 523 538 521 547 525 515
Science
Annualised
change
0.5
1.8
3.3 2.1 -1.5 2.6 1.6 2.6 0.4 0.6 -0.5 1.5 -3.0 -1.5 4.6 -0.8 1.4 m -0.8 -0.9 2.3 -0.8 0.4 -2.5 -1.0 0.6 -0.1 -2.0 2.0 0.9 1.3 2.5 3.0 1.3 1.0 -2.7 1.4 1.3 -3.1 -1.6 -0.3 2.8 -1.1 1.5 6.4 3.4 m 2.0 m 8.1 3.9 1.1 -1.4 0.9 -0.3 -2.1 -0.6 2.2 2.3 2.4 2.2 -2.1 1.8 5.4 -1.9 1.3
1.8
3.3 2.1 -1.5 2.6 1.6 2.6 0.4 0.6 -0.5 1.5 -3.0 -1.5 4.6 -0.8 1.4 m -0.8 -0.9 2.3 -0.8 0.4 -2.5 -1.0 0.6 -0.1 -2.0 2.0 0.9 1.3 2.5 3.0 1.3 1.0 -2.7 1.4 1.3 -3.1 -1.6 -0.3 2.8 -1.1 1.5 6.4 3.4 m 2.0 m 8.1 3.9 1.1 -1.4 0.9 -0.3 -2.1 -0.6 2.2 2.3 2.4 2.2 -2.1 1.8 5.4 -1.9 1.3
523
521
519
518
518
515
514
14.8
10.5
12.3
13.8
14.4
18.9
17.7
511
516
524
523
518
509
508
522
541
545
525
526
505
524
13.3
14.3
14.8
10.7
13.7
10.0
15.0
12.9
12.9
11.8
11.2
8.0
11.2
9.4
10.6
9.9
508
490
512
523
481
496
512
493
505
499
483
489
488
504
488
490
528
506
521
522
514
498
516
508
499
514
478
502
491
495
489
494
484
482
479
478
477
471
466
453
449
448
445
440
439
434
432
427
423
421
413
410
409
407
394
391
388
388
386
376
376
375
368
26.0
27.1
28.1
29.9
33.5
35.7
38.9
42.0
40.8
42.0
43.8
46.3
45.2
49.7
51.5
51.8
54.7
56.6
55.8
59.9
60.7
67.1
66.5
67.7
68.6
73.8
69.6
75.7
74.6
8.0
7.8
11.0
8.8
488
475
496
486
482
481
463
498
471
497
8.1
8.0
9.3
7.0
9.4
3.9
4.6
5.9
3.2
3.7
4.1
3.5
0.9
2.6
1.6
1.3
0.6
1.0
1.4
0.6
0.8
0.8
0.3
0.8
0.6
0.3
2.0
0.3
0.6
477
483
488
485
486
477
446
475
438
449
436
442
393
441
441
398
424
422
411
441
394
410
396
404
399
403
388
396
384
496
485
494
491
470
467
445
463
439
438
446
448
425
444
445
420
415
410
416
429
397
405
406
398
409
399
384
382
373
Countries and economies are ranked in descending order of the mathematics mean score in PISA 2012.
Source: OECD PISA 2012 database, Tables I.2.1a, I.2.1b, I.2.3a, I.2.3b, I.4.3a, I.4.3b, I.5.3a and I.5.3b.
Source: OECD PISA 2012 database, Tables I.2.1a, I.2.1b, I.2.3a, I.2.3b, I.4.3a, I.4.3b, I.5.3a and I.5.3b.
© OECD 9
The content
The students
BRAZIL – Country Note –Results from PISA 2012
What is PISA?
The Programme for International Student Assessment (PISA) is an ongoing triennial survey that assesses
the extent to which 15-year-olds students near the end of compulsory education have acquired key
knowledge and skills that are essential for full participation in modern societies. The assessment does not
just ascertain whether students can reproduce knowledge; it also examines how well students can
extrapolate from what they have learned and apply that knowledge in unfamiliar settings, both in and
outside of school. This approach reflects the fact that modern economies reward individuals not for what
they know, but for what they can do with what they know.
PISA offers insights for education policy and practice, and helps monitor trends in students’ acquisition of
knowledge and skills across countries and in different demographic subgroups within each country. The
findings allow policy makers around the world to gauge the knowledge and skills of students in their own
countries in comparison with those in other countries, set policy targets against measurable goals
achieved by other education systems, and learn from policies and practices applied elsewhere.
Key features of PISA 2012
• The PISA 2012 survey focused on mathematics, with reading, science and problem-solving minor areas of assessment. For the first time, PISA 2012 also included an assessment of the financial literacy of young people, which was optional for countries.
Key features of PISA 2012
• The PISA 2012 survey focused on mathematics, with reading, science and problem-solving minor areas of assessment. For the first time, PISA 2012 also included an assessment of the financial literacy of young people, which was optional for countries.
• Around 510 000 students completed the assessment in 2012, representing about 28 million 15-
year-olds in the schools of the 65 participating countries and economies.
• In Brazil, 19 877 students in 837 schools completed the assessment in 2012. The participation
rate after replacement is 90%.
The assessment
• Paper-based tests were used, with assessments lasting a total of two hours for each student. In a
range of countries and economies, an additional 40 minutes were devoted to the computer-based
assessment of mathematics, reading and problem solving.
• Test items were a mixture of multiple-choice items and questions requiring students to construct
their own responses. The items were organised in groups based on a passage setting out a real-
life situation. A total of about 390 minutes of test items were covered, with different students
taking different combinations of test items.
• Students answered a background questionnaire, which took 30 minutes to complete, that sought
information about themselves, their homes and their school and learning experiences. School
principals were given a questionnaire, to complete in 30 minutes, that covered the school system
and the learning environment. In some countries and economies, optional questionnaires were
distributed to parents, who were asked to provide information on their perceptions of and
involvement in their child’s school, their support for learning in the home, and their child’s career
expectations, particularly in mathematics. Countries could choose two other optional
questionnaires for students: one asked students about their familiarity with and use of
information and communication technologies, and the second sought information about their
education to date, including any interruptions in their schooling and whether and how they are
preparing for a future career.
© OECD 10
Australia
Austria
Belgium
Canada
Chile
Czech Republic Denmark Estonia Finland
Chile
Czech Republic Denmark Estonia Finland
Japan
Korea Luxembourg Mexico Netherlands New Zealand Norway
Poland
Portugal
Slovak Republic Slovenia
Spain
Sweden Switzerland Turkey
United Kingdom United States
Korea Luxembourg Mexico Netherlands New Zealand Norway
Poland
Portugal
Slovak Republic Slovenia
Spain
Sweden Switzerland Turkey
United Kingdom United States
Albania
Argentina
Brazil
Bulgaria Colombia
Costa Rica Croatia
Cyprus1,2
Hong Kong-China Indonesia
Brazil
Bulgaria Colombia
Costa Rica Croatia
Cyprus1,2
Hong Kong-China Indonesia
Malaysia
Montenegro
Peru
Qatar
Romania
Russian Federation Serbia Shanghai-China Singapore
Peru
Qatar
Romania
Russian Federation Serbia Shanghai-China Singapore
OECD countries
Partner countries and economies in PISA 2012
France
Germany
Greece
Hungary
Iceland
Ireland
Israel
Italy
Jordan
Kazakhstan
Latvia
Liechtenstein
Lithuania
Macao-China
Chinese Taipei
Thailand
Tunisia
United Arab Emirates Uruguay
Tunisia
United Arab Emirates Uruguay
BRAZIL – Country Note –Results from PISA 2012
Map of PISA 2012 countries and economies
1. Footnote by Turkey: The information in this document with reference to “Cyprus” relates to the southern part of the Island. There is
no single authority representing both Turkish and Greek Cypriot people on the Island. Turkey recognises the Turkish Republic of
Northern Cyprus (TRNC). Until a lasting and equitable solution is found within the context of the United Nations, Turkey shall
preserve its position concerning the “Cyprus issue”.
2. Footnote by all the European Union Member States of the OECD and the European Union: The Republic of Cyprus is recognised by
all members of the United Nations with the exception of Turkey. The information in this document relates to the area under the
effective control of the Government of the Republic of Cyprus.
© OECD 11
Vietnam
Andreas Schleicher
Advisor to the Secretary-General on Education Policy, Deputy Director for Education and Skills
Email: Andreas.SCHLEICHER@oecd.org
Telephone: +33 6 07 38 54 64
Advisor to the Secretary-General on Education Policy, Deputy Director for Education and Skills
Email: Andreas.SCHLEICHER@oecd.org
Telephone: +33 6 07 38 54 64
Contacts:
Francesco Avvisati
Analyst
Directorate for Education and Skills Email: Francesco.Avvisati@oecd.org Telephone: +33 1 45 24 17 61
Analyst
Directorate for Education and Skills Email: Francesco.Avvisati@oecd.org Telephone: +33 1 45 24 17 61
For more information on
the Programme for International Student Assessment and to access the full set of PISA 2012 results, visit:
the Programme for International Student Assessment and to access the full set of PISA 2012 results, visit:
www.oecd.org.edu/pisa
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