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The global yardstick for student learning outcomes
PISA 2022
PISA participants
Around 690,000 15-year-old students in
81 countries and economies took PISA 2022
PISA Newcomers: El Salvador, Jamaica, Mongolia, the Palestinian Authority and Uzbekistan
330
340
350
360
370
380
390
400
410
420
430
440
450
460
470
480
490
500
510
520
530
540
550
560
570
580
Average math performance dropped by almost
OECD average
Mathematics (PISA)
Previous changes in OECD average never exceeded four score points in mathematics
15 score points since 2018 across the OECD
Student
performance
2006 2022
2018
2003 2009 2015
2012
330
340
350
360
370
380
390
400
410
420
430
440
450
460
470
480
490
500
510
520
530
540
550
560
570
580
OECD average
Mathematics (PISA)
2012 2015 2018
2009 2022
2003 2006
Student
performance
55% enrolled
76% enrolled
36% enrolled
74% enrolled
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Money is necessary but not sufficient
Figure I.4.15
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R² = 0.54
320
340
360
380
400
420
440
460
480
500
520
540
560
580
600
0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000
Mean
score
in
mathematics
Cumulative expenditure per student over the theoretical duration of studies (in US Dollars, ppp)
OECD average: 472 points
OECD average: USD 102 612
Learning time ≠ learning outcomes
0
5
10
15
20
25
30
35
40
45
50
0
2
4
6
8
10
12
14
16
18
20
Morocco
Argentina
Colombia
Costa
Rica
Uzbekistan
Mongolia
Peru
Albania
Cambodia
United
Arab
Emirates
Kosovo
Paraguay
Chile
Italy
Jordan
Malta
Palestinian
Authority
Thailand
Kazakhstan
North
Macedonia
Israel
Brazil
Uruguay
Malaysia
Georgia
El
Salvador
Panama*
Viet
Nam
Guatemala
Dominican
Republic
Baku
(Azerbaijan)
Jamaica*
Philippines
Moldova
Saudi
Arabia
Singapore
Spain
Indonesia
Bulgaria
Greece
Brunei
Darussalam
Portugal
Lithuania
Germany
Belgium
Mexico
United
Kingdom*
Poland
Ireland*
France
OECD
average
Serbia
Latvia*
Croatia
Qatar
Ukrainian
regions
(18
of
27)
Chinese
Taipei
Türkiye
Iceland
Hungary
Austria
Hong
Kong
(China)*
Montenegro
Macao
(China)
Romania
Japan
Estonia
Australia*
Slovenia
Sweden
Norway
Denmark*
Korea
Netherlands*
Canada*
Slovak
Republic
New
Zealand*
Finland
Czech
Republic
United
States*
Switzerland
Score
points
in
mathematics
per
hour
of
total
learning
time
Hours
Based on students' reports
Figure II.5.11
Hours learning in school
Hours learning out of school
Learning time ≠ learning outcomes
0
5
10
15
20
25
30
35
40
45
50
0
2
4
6
8
10
12
14
16
18
20
Morocco
Argentina
Colombia
Costa
Rica
Uzbekistan
Mongolia
Peru
Albania
Cambodia
United
Arab
Emirates
Kosovo
Paraguay
Chile
Italy
Jordan
Malta
Palestinian
Authority
Thailand
Kazakhstan
North
Macedonia
Israel
Brazil
Uruguay
Malaysia
Georgia
El
Salvador
Panama*
Viet
Nam
Guatemala
Dominican
Republic
Baku
(Azerbaijan)
Jamaica*
Philippines
Moldova
Saudi
Arabia
Singapore
Spain
Indonesia
Bulgaria
Greece
Brunei
Darussalam
Portugal
Lithuania
Germany
Belgium
Mexico
United
Kingdom*
Poland
Ireland*
France
OECD
average
Serbia
Latvia*
Croatia
Qatar
Ukrainian
regions
(18
of
27)
Chinese
Taipei
Türkiye
Iceland
Hungary
Austria
Hong
Kong
(China)*
Montenegro
Macao
(China)
Romania
Japan
Estonia
Australia*
Slovenia
Sweden
Norway
Denmark*
Korea
Netherlands*
Canada*
Slovak
Republic
New
Zealand*
Finland
Czech
Republic
United
States*
Switzerland
Score
points
in
mathematics
per
hour
of
total
learning
time
Hours
Based on students' reports
Figure II.5.11
Hours learning in school
Hours learning out of school
Productivity
Shortage of education staff
Based on principals' reports
Figure II.5.4
-1.50
-1.00
-0.50
0.00
0.50
1.00
1.50
Bulgaria
Serbia
Albania
Poland
Denmark*
Qatar
Georgia
Switzerland
Singapore
Paraguay
Montenegro
Romania
Lithuania
Kazakhstan
Guatemala
Moldova
Thailand
Brazil
Ukrainian
regions
(18
of
27)
Iceland
Austria
Spain
Australia*
United
States*
United
Arab
Emirates
Slovenia
El
Salvador
Jamaica*
Indonesia
Mexico
Panama*
Philippines
Ireland*
Türkiye
Malta
Norway
Czech
Republic
Viet
Nam
Croatia
Kosovo
Argentina
OECD
average
New
Zealand*
Finland
Chile
Mongolia
Brunei
Darussalam
Cambodia
Peru
Dominican
Republic
United
Kingdom*
Latvia*
Hong
Kong
(China)*
Hungary
Colombia
Greece
Germany
Sweden
Netherlands*
Israel
Baku
(Azerbaijan)
Italy
France
Uruguay
Saudi
Arabia
Portugal
Jordan
Costa
Rica
Palestinian
Authority
Morocco
Mean
index
of
shortage
of
education
staff
Shortage of education staff and material resources, and
mathematics performance
Change in mathematics performance associated with principals reporting that the school's capacity to provide
instruction is hindered to some extent or a lot by the following; OECD average
Figure II.5.6
-16
-14
-12
-10
-8
-6
-4
-2
0
A lack of teaching
staff
Inadequate or
poorly qualified
teaching staff
A lack of assisting
staff
Inadequate or
poorly qualified
assisting staff
A lack of
educational
material
Inadequate or
poor-quality
educational
material
A lack of physical
infrastructure
Inadequate or
poor-quality
physical
infrastructure
A lack of digital
resources
Inadequate or
poor-quality
digital resources
Before accounting for students' and schools' socio-economic profile¹ After accounting for students' and schools' socio-economic profile
Score-point
difference
Time spent at school in regular lessons and on digital devices
Time spent per day by students (in hours)
Figure II.5.15
0
1
2
3
4
5
6
7
Ireland*
Paraguay
Japan
Brunei
Darussalam
Peru
Malta
France
Slovenia
United
Kingdom*
Germany
Serbia
Saudi
Arabia
Spain
Montenegro
Dominican
Republic
Greece
Cambodia
Jordan
Switzerland
Panama*
Belgium
Georgia
Qatar
Palestinian
Authority
Morocco
Türkiye
Jamaica*
Brazil
Mexico
El
Salvador
Austria
Portugal
Costa
Rica
Chile
Malaysia
Kosovo
Moldova
Uruguay
Hong
Kong
(China)*
Israel
Viet
Nam
Kazakhstan
Colombia
Albania
Argentina
OECD
average
Canada*
North
Macedonia
Czech
Republic
Guatemala
Uzbekistan
Netherlands*
Croatia
Singapore
Macao
(China)
Korea
Estonia
Poland
Chinese
Taipei
Indonesia
Mongolia
Hungary
Baku
(Azerbaijan)
Iceland
Slovak
Republic
Lithuania
Philippines
Latvia*
Romania
United
Arab
Emirates
New
Zealand*
Australia*
Norway
Finland
Sweden
Thailand
Italy
Bulgaria
Denmark*
Ukrainian
regions
(18
of
27)
Using digital devices for learning at school Using digital devices for leisure at school Regular lessons at school per school day
Hours
Devices / learning at school
Devices / leisure at school
Time spent on digital devices at school and mathematics performance
Based on students' reports; OECD average
Figure II.5.14
420
430
440
450
460
470
480
490
500
None Up to 1 hour More than 1 hour and
up to 2 hours
More than 2 hours
and up to 3 hours
More than 3 hours
and up to 5 hours
More than 5 hours
and up to 7 hours
More than 7 hours
Mean
score
in
mathematics
Time spent on digital devices at school per day
Technology used for learning in school
Technology used for leisure at school
Outcomes of feeling nervous/anxious when digital devices are not near
Based on students' reports; OECD average
Figure II.5.17
-10
-9
-8
-7
-6
-5
-4
-3
-2
-1
0
Mathematics performance
Score-point
difference
-1.0
-0.9
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0.0
Life satisfaction Emotional control Stress resistance
Before accounting for students' and schools' socio-economic profile¹ After accounting for students' and schools' socio-economic profile
Index-point
difference
Teacher support
Percentage of students who agreed or strongly agreed with the following statements about the time when their
school building was closed because of COVID-19; based on students' reports
Figure II.2.10
0
10
20
30
40
50
60
70
80
90
Japan
Morocco
Jordan
Poland
Greece
Mongolia
Palestinian
Authority
United
Kingdom*
Israel
Kosovo
Argentina
Brazil
Saudi
Arabia
Spain
Iceland
Türkiye
Serbia
Uzbekistan
France
Italy
Uruguay
Romania
Panama*
Jamaica*
Macao
(China)
Bulgaria
Montenegro
Mexico
Slovenia
North
Macedonia
Slovak
Republic
Georgia
Dominican
Republic
OECD
average
Qatar
Chile
Ireland*
Malaysia
Peru
Czech
Republic
Austria
Moldova
Belgium
Malta
Costa
Rica
Ukrainian
regions
(18
of
27)
Korea
Croatia
Paraguay
Hong
Kong
(China)*
Chinese
Taipei
El
Salvador
Hungary
Australia*
Baku
(Azerbaijan)
Lithuania
Thailand
Cambodia
Kazakhstan
Colombia
United
States*
New
Zealand*
Canada*
Guatemala
Switzerland
Germany
Finland
United
Arab
Emirates
Netherlands*
Latvia*
Sweden
Portugal
Estonia
Albania
Indonesia
Philippines
Brunei
Darussalam
Viet
Nam
%
My teachers were available when I needed help I felt lonely
Students learn best from teachers they love
Remote learning, mathematics performance and confidence in self-directed learning
Change in the index of confidence in students' capacity for self-directed learning/in mathematics performance, when students agreed or disagreed with the
following statements about the time when their school building was closed because of COVID-19; OECD average
Figure II.2.12
-10
-5
0
5
10
15
20
25
(Agree)
I was well prepared to
learn on my own
(Agree)
My teachers were
available when I
needed help
(Disagree)
I felt anxious about
school work
(Disagree)
I felt lonely
Score-point
difference
in
mathematics
performance
Students agreed or strongly agreed/disagreed or strongly disagreed
with the statements above
Before accounting
After accounting for students' and schools' socio-economic profile
Students
scored
lower
Students
scored
higher
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
(Agree)
I was well prepared
to learn on my own
(Agree)
My teachers were
available when I
needed help
(Disagree)
I felt anxious about
school work
(Disagree)
I felt lonely
Students agreed or strongly agreed/disagreed or strongly disagreed
with the statements above
Before accounting
After accounting for students' and schools' socio-economic profile, and mathematics performance
Students with more positive learning
experiences are more confident
in their ability to learn autonomously
and remotely
Students
are
more
confident
(Change
in
the
index
of
confidence
in
capacity
for
self-directed
learning)
School actions and activities to maintain learning and well-being
Percentage of students who reported that someone from their school did the following actions every day daily when
their school building was closed because of COVID-19; OECD average
Figure II.2.16
0
10
20
30
40
50
60
70
80
90
Checked in with them to
ask how they were
feeling
Gave them helpful tips
about how to study on
their own
Checked in with them to
ensure that they were
completing their
assignments
Sent them learning
materials to study on
their own
Asked them to submit
completed school
assignments
Sent them assignments Uploaded material on a
learning-management
system or school learning
platform
Offered live virtual
classes on a video
communication program
%
Students reported that someone from their school did the above actions every day or almost every day
Bottom country/economy OECD average Top country/economy
Least common daily school actions and activities
promoting students' well-being and self-directed learning, as reported by students
Most common daily school actions and activities
ensuring that curriculum goals are met, as reported by students
Low income communities
PISA 2022
330
340
350
360
370
380
390
400
410
420
430
440
450
460
470
480
490
500
510
520
530
540
550
560
570
580
OECD average
2012 2015 2018
2009 2022
2003 2006
Student
performance
Poverty need not be destiny
Math skills of students
from most advantaged decile
Math skills of students
from poorest decile
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[CELL…
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[CELLRA… [CELLRANGE]
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[CELLRAN…
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[CELLRANGE]
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[CEL…
[CELLRA…
[CELLRANGE]
[CELLRANGE] [CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRA…
[CELLRANGE] [CELLRANGE]
[CELLRAN…
[CELLRANGE] [CELLRANGE]
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[CELLRA…
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[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
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[CELLRANGE]
Disparities in minimum achievement in mathematics
(parity index), by gender and socio-economic background Figure I.3.7
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
El
Salvador
Panama*
Dominican
Republic
Guatemala
Philippines
Paraguay
Peru
Brazil
Colombia
Argentina
Palestinian
Authority
Morocco
Jordan
Cambodia
Indonesia
Romania
Malaysia
Bulgaria
Kosovo
North
Macedonia
Uruguay
Mexico
Qatar
Mongolia
Moldova
Jamaica*
Thailand
Saudi
Arabia
Georgia
Slovak
Republic
Albania
Montenegro
Chile
Israel
Hungary
Ukrainian
regions
(18
of
27)
Baku
(Azerbaijan)
Greece
Brunei
Darussalam
United
Arab
Emirates
Serbia
Uzbekistan
United
States*
France
Czech
Republic
Belgium
Germany
Türkiye
Portugal
Austria
Lithuania
New
Zealand*
OECD
average
Italy
Iceland
Croatia
Sweden
Spain
Malta
Norway
Netherlands*
Australia*
Slovenia
Poland
Kazakhstan
Viet
Nam
Switzerland
Finland
Latvia*
United
Kingdom*
Denmark*
Ireland*
Canada*
Korea
Chinese
Taipei
Estonia
Singapore
Japan
Hong
Kong
(China)*
Macao
(China)
Costa
Rica
Parity index Girls compared to boys Disadvantaged students compared to advantaged students
No disparity
110
100
90
80
70
60
50
40
30
20
10
0
10
20
30
40
50
60
70
80
90
Iceland
Saudi
Arabia
Ireland*
Finland
Denmark*
Uzbekistan
Palestinian
Authority
Dominican
Republic
Norway
Jordan
Philippines
Baku
(Azerbaijan)
El
Salvador
Mexico
Cambodia
Kosovo
Spain
Costa
Rica
Estonia
Portugal
Sweden
Indonesia
Chile
Latvia*
Canada*
Morocco
Moldova
Guatemala
Kazakhstan
Malta
Panama*
Greece
Paraguay
Malaysia
Albania
United
Kingdom*
Peru
Argentina
Brazil
Montenegro
New
Zealand*
Georgia
United
States*
Colombia
Uruguay
North
Macedonia
Brunei
Darussalam
Mongolia
Thailand
Macao
(China)
Lithuania
Ukrainian
regions
(18
of
27)
Viet
Nam
Australia*
Jamaica*
OECD
average
Serbia
Qatar
Croatia
France
Switzerland
Italy
Korea
Austria
Singapore
Poland
Belgium
Slovenia
Czech
Republic
Germany
Hong
Kong
(China)*
Japan
Israel
Türkiye
Hungary
United
Arab
Emirates
Romania
Chinese
Taipei
Bulgaria
Slovak
Republic
Netherlands*
%
Can the closest school be the best school?
Variation in mathematics performance between and within schools Figure I.2.6
OECD average: 32%
OECD average: 68%
Performance variation between schools
Performance variation within schools
Percentage of disadvantaged students, by immigrant background
Figure I.7.3
0
10
20
30
40
50
60
70
Qatar
United
Arab
Emirates
Singapore
Saudi
Arabia
Malta
Brunei
Darussalam
Montenegro
Serbia
Portugal
Estonia
Australia*
Jordan
Argentina
Chile
Ireland*
New
Zealand*
Kazakhstan
Croatia
Israel
United
Kingdom*
Finland
Canada*
OECD
average
Iceland
Italy
Denmark*
Slovenia
Spain
Netherlands*
France
Greece
Belgium
Germany
Norway
Sweden
Macao
(China)
United
States*
Hong
Kong
(China)*
Austria
Switzerland
Immigrant students Non-immigrant students
%
Differences in mathematics performance, by immigrant background
Difference in mathematics score between non-immigrant students and immigrant students (immigrant students - non-immigrant)
before and after accounting for socio-economic status and language spoken at home
Figure I.7.7
-100
-80
-60
-40
-20
0
20
40
60
80
100
120
Finland
Sweden
Denmark*
Portugal
Estonia
Chile
Belgium
Norway
Netherlands*
France
Germany
Slovenia
Spain
Switzerland
Austria
OECD
average
Iceland
Croatia
Greece
Ireland*
Montenegro
Serbia
Malta
Italy
Jordan
Israel
Argentina
Kazakhstan
Hong
Kong
(China)*
Canada*
United
Kingdom*
Singapore
New
Zealand*
Macao
(China)
Australia*
Saudi
Arabia
United
States*
Brunei
Darussalam
Qatar
United
Arab
Emirates
Before accounting for socio-economic status and language spoken at home After accounting for socio-economic status
After accounting for socio-economic status and language spoken at home
Score
point dif.
Immigrant students scored higher than
non-immigrant students
Immigrant students scored lower than
non-immigrant students
The power of emotional intelligence
Beyond academic learning
Life satisfaction and satisfaction with different aspects of life
Average of countries/economies with available data
Figure II.1.7
1.00 1.20 1.40 1.60 1.80 2.00 2.20
Their relationship with their parents/guardians
Their life at school
Their health
All the things [they] have
The way they look
The friends they have
How they use their time
The neighbourhood they live in
Their relationship with their teachers
What they learn at school
Point change on the life-satisfaction scale
Change in life satisfaction when students reported that they are satisfied or totally satisfied with the following:
PISA 2022: Ireland
PISA 2022: Ukraine
PISA 2022: Finland
Students’ sense of belonging at school, across all countries and economies
Table II.B1.1.1
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
Brunei
Darussalam
Cambodia
Hong
Kong
(China)*
Philippines
Thailand
Jamaica*
Poland
Macao
(China)
Türkiye
New
Zealand*
Morocco
Viet
Nam
Czech
Republic
Malaysia
El
Salvador
United
States*
Latvia*
Paraguay
Malta
Dominican
Republic
Australia*
Singapore
Chile
Jordan
United
Kingdom*
Brazil
Peru
Slovak
Republic
United
Arab
Emirates
Argentina
Panama*
Bulgaria
Mexico
Guatemala
Palestinian
Authority
Baku
(Azerbaijan)
Canada*
Colombia
Qatar
Mongolia
Kazakhstan
Estonia
Indonesia
Ireland*
Costa
Rica
Uruguay
Ukrainian
regions
(18
of
27)
Italy
Greece
Moldova
Georgia
France
Lithuania
OECD
average
Romania
Saudi
Arabia
Chinese
Taipei
Belgium
Slovenia
Uzbekistan
Portugal
Sweden
Finland
Netherlands*
Denmark*
North
Macedonia
Croatia
Montenegro
Hungary
Iceland
Serbia
Norway
Japan
Albania
Korea
Germany
Spain
Switzerland
Austria
Mean index
Based on students' reports
Growth mindset
and mathematics performance Table I.B1.2.1 &
Table I.B1.2.16
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE] [CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE] [CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
[CELLRANGE]
320
340
360
380
400
420
440
460
480
500
520
540
560
580
600
25 35 45 55 65 75 85
Mean
score
in
mathematics
Percentage of students who disagreed or strongly disagreed that their intelligence cannot change very much (%)
Higher
score
More students holding a growth mindset
OECD average: 58%
OECD average: 472 points
Mathematics performance and anxiety in mathematics among
students with fixed and growth mindsets Figure I.2.2
400
420
440
460
480
500
520
540
Growth mindset Fixed mindset Growth mindset Fixed mindset
Low anxiety High anxiety
Mean
score
in
mathematics
Percentage of students that did not eat at least once a week in the
past 30 days, because there was not enough money to buy food Figure I.4.6
0
10
20
30
40
50
60
70
80
90
100
Cambodia
Jamaica*
Baku
(Azerbaijan)
Philippines
Kosovo
Thailand
Morocco
Uzbekistan
Jordan
Palestinian
Authority
Albania
Brunei
Darussalam
Panama*
Malaysia
Bulgaria
North
Macedonia
Guatemala
Indonesia
Türkiye
Georgia
Peru
Viet
Nam
Qatar
United
Arab
Emirates
Romania
El
Salvador
Dominican
Republic
Saudi
Arabia
Macao
(China)
New
Zealand*
Hong
Kong
(China)*
Colombia
Chile
United
States*
Mongolia
Singapore
Paraguay
Kazakhstan
Lithuania
United
Kingdom*
Serbia
Mexico
Moldova
Chinese
Taipei
Czech
Republic
Malta
Ukrainian
regions
(18
of
27)
Estonia
Canada*
Brazil
France
OECD
average
Slovenia
Uruguay
Latvia*
Ireland*
Poland
Switzerland
Denmark*
Slovak
Republic
Hungary
Croatia
Korea
Iceland
Netherlands*
Finland
Portugal
Every day or almost every day 4 to 5 times a week 2 to 3 times a week About once a week Never or almost never
%
PISA main reports PISA Country notes
Find out more about our work at www.oecd.org/pisa
Email: Andreas.Schleicher@OECD.org
X : SchleicherEDU
WeChat : AndreasSchleicher
Take the test: bit.ly/PISA-Test
PISA FAQs: www.oecd.org/pisa/pisafaq
PISA Data Explorer: www.oecd.org/pisa/data

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Andreas Schleicher - Teach for All 8 February 2024.pptx

  • 1. The global yardstick for student learning outcomes PISA 2022
  • 2. PISA participants Around 690,000 15-year-old students in 81 countries and economies took PISA 2022 PISA Newcomers: El Salvador, Jamaica, Mongolia, the Palestinian Authority and Uzbekistan
  • 3. 330 340 350 360 370 380 390 400 410 420 430 440 450 460 470 480 490 500 510 520 530 540 550 560 570 580 Average math performance dropped by almost OECD average Mathematics (PISA) Previous changes in OECD average never exceeded four score points in mathematics 15 score points since 2018 across the OECD Student performance 2006 2022 2018 2003 2009 2015 2012
  • 4. 330 340 350 360 370 380 390 400 410 420 430 440 450 460 470 480 490 500 510 520 530 540 550 560 570 580 OECD average Mathematics (PISA) 2012 2015 2018 2009 2022 2003 2006 Student performance 55% enrolled 76% enrolled 36% enrolled 74% enrolled [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] [CELLRAN… [CELLRANGE] [CELLRAN… [CELLRAN… [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRAN… [CELLRA… [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRAN… [CELLRANGE] [CELLRANGE] [CELL… [CELLRAN… [CELLRAN… [CEL… [CELLRANG… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRAN… [CELL… [CELLRANGE] [CELLRAN… [CELLRAN… [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRAN… [CEL… [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRAN… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANG… [CELLRANGE]
  • 5. Money is necessary but not sufficient Figure I.4.15 [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] R² = 0.54 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000 Mean score in mathematics Cumulative expenditure per student over the theoretical duration of studies (in US Dollars, ppp) OECD average: 472 points OECD average: USD 102 612
  • 6. Learning time ≠ learning outcomes 0 5 10 15 20 25 30 35 40 45 50 0 2 4 6 8 10 12 14 16 18 20 Morocco Argentina Colombia Costa Rica Uzbekistan Mongolia Peru Albania Cambodia United Arab Emirates Kosovo Paraguay Chile Italy Jordan Malta Palestinian Authority Thailand Kazakhstan North Macedonia Israel Brazil Uruguay Malaysia Georgia El Salvador Panama* Viet Nam Guatemala Dominican Republic Baku (Azerbaijan) Jamaica* Philippines Moldova Saudi Arabia Singapore Spain Indonesia Bulgaria Greece Brunei Darussalam Portugal Lithuania Germany Belgium Mexico United Kingdom* Poland Ireland* France OECD average Serbia Latvia* Croatia Qatar Ukrainian regions (18 of 27) Chinese Taipei Türkiye Iceland Hungary Austria Hong Kong (China)* Montenegro Macao (China) Romania Japan Estonia Australia* Slovenia Sweden Norway Denmark* Korea Netherlands* Canada* Slovak Republic New Zealand* Finland Czech Republic United States* Switzerland Score points in mathematics per hour of total learning time Hours Based on students' reports Figure II.5.11 Hours learning in school Hours learning out of school
  • 7. Learning time ≠ learning outcomes 0 5 10 15 20 25 30 35 40 45 50 0 2 4 6 8 10 12 14 16 18 20 Morocco Argentina Colombia Costa Rica Uzbekistan Mongolia Peru Albania Cambodia United Arab Emirates Kosovo Paraguay Chile Italy Jordan Malta Palestinian Authority Thailand Kazakhstan North Macedonia Israel Brazil Uruguay Malaysia Georgia El Salvador Panama* Viet Nam Guatemala Dominican Republic Baku (Azerbaijan) Jamaica* Philippines Moldova Saudi Arabia Singapore Spain Indonesia Bulgaria Greece Brunei Darussalam Portugal Lithuania Germany Belgium Mexico United Kingdom* Poland Ireland* France OECD average Serbia Latvia* Croatia Qatar Ukrainian regions (18 of 27) Chinese Taipei Türkiye Iceland Hungary Austria Hong Kong (China)* Montenegro Macao (China) Romania Japan Estonia Australia* Slovenia Sweden Norway Denmark* Korea Netherlands* Canada* Slovak Republic New Zealand* Finland Czech Republic United States* Switzerland Score points in mathematics per hour of total learning time Hours Based on students' reports Figure II.5.11 Hours learning in school Hours learning out of school Productivity
  • 8. Shortage of education staff Based on principals' reports Figure II.5.4 -1.50 -1.00 -0.50 0.00 0.50 1.00 1.50 Bulgaria Serbia Albania Poland Denmark* Qatar Georgia Switzerland Singapore Paraguay Montenegro Romania Lithuania Kazakhstan Guatemala Moldova Thailand Brazil Ukrainian regions (18 of 27) Iceland Austria Spain Australia* United States* United Arab Emirates Slovenia El Salvador Jamaica* Indonesia Mexico Panama* Philippines Ireland* Türkiye Malta Norway Czech Republic Viet Nam Croatia Kosovo Argentina OECD average New Zealand* Finland Chile Mongolia Brunei Darussalam Cambodia Peru Dominican Republic United Kingdom* Latvia* Hong Kong (China)* Hungary Colombia Greece Germany Sweden Netherlands* Israel Baku (Azerbaijan) Italy France Uruguay Saudi Arabia Portugal Jordan Costa Rica Palestinian Authority Morocco Mean index of shortage of education staff
  • 9. Shortage of education staff and material resources, and mathematics performance Change in mathematics performance associated with principals reporting that the school's capacity to provide instruction is hindered to some extent or a lot by the following; OECD average Figure II.5.6 -16 -14 -12 -10 -8 -6 -4 -2 0 A lack of teaching staff Inadequate or poorly qualified teaching staff A lack of assisting staff Inadequate or poorly qualified assisting staff A lack of educational material Inadequate or poor-quality educational material A lack of physical infrastructure Inadequate or poor-quality physical infrastructure A lack of digital resources Inadequate or poor-quality digital resources Before accounting for students' and schools' socio-economic profile¹ After accounting for students' and schools' socio-economic profile Score-point difference
  • 10. Time spent at school in regular lessons and on digital devices Time spent per day by students (in hours) Figure II.5.15 0 1 2 3 4 5 6 7 Ireland* Paraguay Japan Brunei Darussalam Peru Malta France Slovenia United Kingdom* Germany Serbia Saudi Arabia Spain Montenegro Dominican Republic Greece Cambodia Jordan Switzerland Panama* Belgium Georgia Qatar Palestinian Authority Morocco Türkiye Jamaica* Brazil Mexico El Salvador Austria Portugal Costa Rica Chile Malaysia Kosovo Moldova Uruguay Hong Kong (China)* Israel Viet Nam Kazakhstan Colombia Albania Argentina OECD average Canada* North Macedonia Czech Republic Guatemala Uzbekistan Netherlands* Croatia Singapore Macao (China) Korea Estonia Poland Chinese Taipei Indonesia Mongolia Hungary Baku (Azerbaijan) Iceland Slovak Republic Lithuania Philippines Latvia* Romania United Arab Emirates New Zealand* Australia* Norway Finland Sweden Thailand Italy Bulgaria Denmark* Ukrainian regions (18 of 27) Using digital devices for learning at school Using digital devices for leisure at school Regular lessons at school per school day Hours Devices / learning at school Devices / leisure at school
  • 11. Time spent on digital devices at school and mathematics performance Based on students' reports; OECD average Figure II.5.14 420 430 440 450 460 470 480 490 500 None Up to 1 hour More than 1 hour and up to 2 hours More than 2 hours and up to 3 hours More than 3 hours and up to 5 hours More than 5 hours and up to 7 hours More than 7 hours Mean score in mathematics Time spent on digital devices at school per day Technology used for learning in school Technology used for leisure at school
  • 12. Outcomes of feeling nervous/anxious when digital devices are not near Based on students' reports; OECD average Figure II.5.17 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 Mathematics performance Score-point difference -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 Life satisfaction Emotional control Stress resistance Before accounting for students' and schools' socio-economic profile¹ After accounting for students' and schools' socio-economic profile Index-point difference
  • 13. Teacher support Percentage of students who agreed or strongly agreed with the following statements about the time when their school building was closed because of COVID-19; based on students' reports Figure II.2.10 0 10 20 30 40 50 60 70 80 90 Japan Morocco Jordan Poland Greece Mongolia Palestinian Authority United Kingdom* Israel Kosovo Argentina Brazil Saudi Arabia Spain Iceland Türkiye Serbia Uzbekistan France Italy Uruguay Romania Panama* Jamaica* Macao (China) Bulgaria Montenegro Mexico Slovenia North Macedonia Slovak Republic Georgia Dominican Republic OECD average Qatar Chile Ireland* Malaysia Peru Czech Republic Austria Moldova Belgium Malta Costa Rica Ukrainian regions (18 of 27) Korea Croatia Paraguay Hong Kong (China)* Chinese Taipei El Salvador Hungary Australia* Baku (Azerbaijan) Lithuania Thailand Cambodia Kazakhstan Colombia United States* New Zealand* Canada* Guatemala Switzerland Germany Finland United Arab Emirates Netherlands* Latvia* Sweden Portugal Estonia Albania Indonesia Philippines Brunei Darussalam Viet Nam % My teachers were available when I needed help I felt lonely
  • 14. Students learn best from teachers they love Remote learning, mathematics performance and confidence in self-directed learning Change in the index of confidence in students' capacity for self-directed learning/in mathematics performance, when students agreed or disagreed with the following statements about the time when their school building was closed because of COVID-19; OECD average Figure II.2.12 -10 -5 0 5 10 15 20 25 (Agree) I was well prepared to learn on my own (Agree) My teachers were available when I needed help (Disagree) I felt anxious about school work (Disagree) I felt lonely Score-point difference in mathematics performance Students agreed or strongly agreed/disagreed or strongly disagreed with the statements above Before accounting After accounting for students' and schools' socio-economic profile Students scored lower Students scored higher 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 (Agree) I was well prepared to learn on my own (Agree) My teachers were available when I needed help (Disagree) I felt anxious about school work (Disagree) I felt lonely Students agreed or strongly agreed/disagreed or strongly disagreed with the statements above Before accounting After accounting for students' and schools' socio-economic profile, and mathematics performance Students with more positive learning experiences are more confident in their ability to learn autonomously and remotely Students are more confident (Change in the index of confidence in capacity for self-directed learning)
  • 15. School actions and activities to maintain learning and well-being Percentage of students who reported that someone from their school did the following actions every day daily when their school building was closed because of COVID-19; OECD average Figure II.2.16 0 10 20 30 40 50 60 70 80 90 Checked in with them to ask how they were feeling Gave them helpful tips about how to study on their own Checked in with them to ensure that they were completing their assignments Sent them learning materials to study on their own Asked them to submit completed school assignments Sent them assignments Uploaded material on a learning-management system or school learning platform Offered live virtual classes on a video communication program % Students reported that someone from their school did the above actions every day or almost every day Bottom country/economy OECD average Top country/economy Least common daily school actions and activities promoting students' well-being and self-directed learning, as reported by students Most common daily school actions and activities ensuring that curriculum goals are met, as reported by students
  • 17. 330 340 350 360 370 380 390 400 410 420 430 440 450 460 470 480 490 500 510 520 530 540 550 560 570 580 OECD average 2012 2015 2018 2009 2022 2003 2006 Student performance Poverty need not be destiny Math skills of students from most advantaged decile Math skills of students from poorest decile [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] [CELLRAN… [CELLRANGE] [CELLRAN… [CELLRAN… [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRAN… [CELLRA… [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRAN… [CELLRANGE] [CELLRANGE] [CELL… [CELLRAN… [CELLRAN… [CEL… [CELLRANG… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRAN… [CELL… [CELLRANGE] [CELLRAN… [CELLRAN… [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRAN… [CEL… [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRAN… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRA… [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANG… [CELLRANGE]
  • 18. Disparities in minimum achievement in mathematics (parity index), by gender and socio-economic background Figure I.3.7 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40 El Salvador Panama* Dominican Republic Guatemala Philippines Paraguay Peru Brazil Colombia Argentina Palestinian Authority Morocco Jordan Cambodia Indonesia Romania Malaysia Bulgaria Kosovo North Macedonia Uruguay Mexico Qatar Mongolia Moldova Jamaica* Thailand Saudi Arabia Georgia Slovak Republic Albania Montenegro Chile Israel Hungary Ukrainian regions (18 of 27) Baku (Azerbaijan) Greece Brunei Darussalam United Arab Emirates Serbia Uzbekistan United States* France Czech Republic Belgium Germany Türkiye Portugal Austria Lithuania New Zealand* OECD average Italy Iceland Croatia Sweden Spain Malta Norway Netherlands* Australia* Slovenia Poland Kazakhstan Viet Nam Switzerland Finland Latvia* United Kingdom* Denmark* Ireland* Canada* Korea Chinese Taipei Estonia Singapore Japan Hong Kong (China)* Macao (China) Costa Rica Parity index Girls compared to boys Disadvantaged students compared to advantaged students No disparity
  • 19. 110 100 90 80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80 90 Iceland Saudi Arabia Ireland* Finland Denmark* Uzbekistan Palestinian Authority Dominican Republic Norway Jordan Philippines Baku (Azerbaijan) El Salvador Mexico Cambodia Kosovo Spain Costa Rica Estonia Portugal Sweden Indonesia Chile Latvia* Canada* Morocco Moldova Guatemala Kazakhstan Malta Panama* Greece Paraguay Malaysia Albania United Kingdom* Peru Argentina Brazil Montenegro New Zealand* Georgia United States* Colombia Uruguay North Macedonia Brunei Darussalam Mongolia Thailand Macao (China) Lithuania Ukrainian regions (18 of 27) Viet Nam Australia* Jamaica* OECD average Serbia Qatar Croatia France Switzerland Italy Korea Austria Singapore Poland Belgium Slovenia Czech Republic Germany Hong Kong (China)* Japan Israel Türkiye Hungary United Arab Emirates Romania Chinese Taipei Bulgaria Slovak Republic Netherlands* % Can the closest school be the best school? Variation in mathematics performance between and within schools Figure I.2.6 OECD average: 32% OECD average: 68% Performance variation between schools Performance variation within schools
  • 20. Percentage of disadvantaged students, by immigrant background Figure I.7.3 0 10 20 30 40 50 60 70 Qatar United Arab Emirates Singapore Saudi Arabia Malta Brunei Darussalam Montenegro Serbia Portugal Estonia Australia* Jordan Argentina Chile Ireland* New Zealand* Kazakhstan Croatia Israel United Kingdom* Finland Canada* OECD average Iceland Italy Denmark* Slovenia Spain Netherlands* France Greece Belgium Germany Norway Sweden Macao (China) United States* Hong Kong (China)* Austria Switzerland Immigrant students Non-immigrant students %
  • 21. Differences in mathematics performance, by immigrant background Difference in mathematics score between non-immigrant students and immigrant students (immigrant students - non-immigrant) before and after accounting for socio-economic status and language spoken at home Figure I.7.7 -100 -80 -60 -40 -20 0 20 40 60 80 100 120 Finland Sweden Denmark* Portugal Estonia Chile Belgium Norway Netherlands* France Germany Slovenia Spain Switzerland Austria OECD average Iceland Croatia Greece Ireland* Montenegro Serbia Malta Italy Jordan Israel Argentina Kazakhstan Hong Kong (China)* Canada* United Kingdom* Singapore New Zealand* Macao (China) Australia* Saudi Arabia United States* Brunei Darussalam Qatar United Arab Emirates Before accounting for socio-economic status and language spoken at home After accounting for socio-economic status After accounting for socio-economic status and language spoken at home Score point dif. Immigrant students scored higher than non-immigrant students Immigrant students scored lower than non-immigrant students
  • 22. The power of emotional intelligence Beyond academic learning
  • 23. Life satisfaction and satisfaction with different aspects of life Average of countries/economies with available data Figure II.1.7 1.00 1.20 1.40 1.60 1.80 2.00 2.20 Their relationship with their parents/guardians Their life at school Their health All the things [they] have The way they look The friends they have How they use their time The neighbourhood they live in Their relationship with their teachers What they learn at school Point change on the life-satisfaction scale Change in life satisfaction when students reported that they are satisfied or totally satisfied with the following:
  • 27. Students’ sense of belonging at school, across all countries and economies Table II.B1.1.1 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 Brunei Darussalam Cambodia Hong Kong (China)* Philippines Thailand Jamaica* Poland Macao (China) Türkiye New Zealand* Morocco Viet Nam Czech Republic Malaysia El Salvador United States* Latvia* Paraguay Malta Dominican Republic Australia* Singapore Chile Jordan United Kingdom* Brazil Peru Slovak Republic United Arab Emirates Argentina Panama* Bulgaria Mexico Guatemala Palestinian Authority Baku (Azerbaijan) Canada* Colombia Qatar Mongolia Kazakhstan Estonia Indonesia Ireland* Costa Rica Uruguay Ukrainian regions (18 of 27) Italy Greece Moldova Georgia France Lithuania OECD average Romania Saudi Arabia Chinese Taipei Belgium Slovenia Uzbekistan Portugal Sweden Finland Netherlands* Denmark* North Macedonia Croatia Montenegro Hungary Iceland Serbia Norway Japan Albania Korea Germany Spain Switzerland Austria Mean index Based on students' reports
  • 28. Growth mindset and mathematics performance Table I.B1.2.1 & Table I.B1.2.16 [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 25 35 45 55 65 75 85 Mean score in mathematics Percentage of students who disagreed or strongly disagreed that their intelligence cannot change very much (%) Higher score More students holding a growth mindset OECD average: 58% OECD average: 472 points
  • 29. Mathematics performance and anxiety in mathematics among students with fixed and growth mindsets Figure I.2.2 400 420 440 460 480 500 520 540 Growth mindset Fixed mindset Growth mindset Fixed mindset Low anxiety High anxiety Mean score in mathematics
  • 30. Percentage of students that did not eat at least once a week in the past 30 days, because there was not enough money to buy food Figure I.4.6 0 10 20 30 40 50 60 70 80 90 100 Cambodia Jamaica* Baku (Azerbaijan) Philippines Kosovo Thailand Morocco Uzbekistan Jordan Palestinian Authority Albania Brunei Darussalam Panama* Malaysia Bulgaria North Macedonia Guatemala Indonesia Türkiye Georgia Peru Viet Nam Qatar United Arab Emirates Romania El Salvador Dominican Republic Saudi Arabia Macao (China) New Zealand* Hong Kong (China)* Colombia Chile United States* Mongolia Singapore Paraguay Kazakhstan Lithuania United Kingdom* Serbia Mexico Moldova Chinese Taipei Czech Republic Malta Ukrainian regions (18 of 27) Estonia Canada* Brazil France OECD average Slovenia Uruguay Latvia* Ireland* Poland Switzerland Denmark* Slovak Republic Hungary Croatia Korea Iceland Netherlands* Finland Portugal Every day or almost every day 4 to 5 times a week 2 to 3 times a week About once a week Never or almost never %
  • 31. PISA main reports PISA Country notes Find out more about our work at www.oecd.org/pisa Email: Andreas.Schleicher@OECD.org X : SchleicherEDU WeChat : AndreasSchleicher Take the test: bit.ly/PISA-Test PISA FAQs: www.oecd.org/pisa/pisafaq PISA Data Explorer: www.oecd.org/pisa/data