low-performing students- why they fall behind and how to help them succeed
TRANSCRIPT
LOW-PERFORMING STUDENTSWHY THEY FALL BEHIND AND
HOW TO HELP THEM SUCCEED
Andreas SchleicherDirector for Education and Skills
OECD
February 2016
“LOW-PERFORMING” STUDENTS:
WHAT DO WE MEAN?
• In PISA, Level 2 is considered the baseline level of proficiency in mathematics, reading and/or science.
• In PISA, “low performers” are students who perform below the baseline Level 2 in mathematics, reading and/or science (i.e. they score at Level 1 or below).
• Low performers can answer questions that provide clear directions and single information sources and connections. However, they typically cannot make more complex uses of information and reasoning.
Low performers: Definitions in PISA
Students demonstrate elementary skills to read and understand simple text and master basic mathematical and scientific concepts
and procedures
Regular but moderate physical exercise is good for our health
What happens when muscles are exercised? Circle “Yes” or “No” for each statement.
Does this happen when muscles are exercised? Yes or No?
Muscles get an increased flow of blood. Yes / No
Fats are formed in the muscles. Yes / No
Answering this question correctly corresponds to a difficulty of 386 score points on the PISA science scale. Across countries, 82% of students answered correctly. This question assesses students’ competency of explaining phenomena scientifically.
% students by country who answered correctly
Finland 93Hungary 91Russian Federation 90Slovenia 89Latvia 88Czech Republic 88Iceland 88Greece 87Portugal 87Croatia 86Spain 86Italy 85Liechtenstein 85Hong Kong- China 85Australia 85Canada 84Denmark 84Serbia 84New Zealand 84Belgium 84Poland 84Netherlands 84Tunisia 83Slovak Republic 83United Kingdom 83OECD average 82Sweden 82Switzerland 82Chile 82Turkey 82Thailand 81Macao-China 81Bulgaria 81Jordan 80Israel 80Japan 80Luxembourg 79Austria 79France 79Mexico 78Germany 77Estonia 77Chinese Taipei 77Norway 76United States 76Romania 76Montenegro 76Ireland 76Argentina 75Lithuania 73Azerbaijan 72Brazil 71Korea 68Colombia 63Kyrgyzstan 57Indonesia 54Qatar 53
Mei-Ling from Singapore was preparing to go to South Africa for 3 months as an exchange student. She needed to change some Singapore dollars (SGD) into South African rand (ZAR).
Question: Mei-Ling found out that the exchange rate between Singapore dollars and South African rand was:
1 SGD = 4.2 ZAR
Mei-Ling changed 3000 Singapore dollars into South African rand at this exchange rate. How much money in South African rand did Mei-Ling get?
Answer: ________________________
% students by country who answered correctly
Liechtenstein 95Macao- China 93Finland 90France 89Hong Kong-China 89Sweden 89Austria 87Switzerland 87Belgium 87Czech Republic 87Canada 86Slovak Republic 86Iceland 86Denmark 85Russian Federation 85Luxembourg 85Netherlands 85Hungary 84Ireland 83Germany 83Australia 81Korea 81Latvia 80New Zealand 80OECD average 80Japan 79Spain 79Serbia 79Norway 77Poland 77Portugal 74United Kingdom 74Greece 73Italy 71Uruguay 71Mexico 60Thailand 60Turkey 60Indonesia 59Tunisia 55United States 54Brazil 37
12600 zAR
Answering this question correctly corresponds to a difficulty of 406 score points on the PISA mathematics scale. Across countries, 80% of students answered correctly. To answer the question correctly students have to draw on skills from the reproduction competency cluster.
LOW PERFORMANCE AT AGE 15
WHY IT MATTERS
• Risk of dropping out of school: lower educational attainment
• Low-skills tend to be persistent over time, from age 15 into early adulthood
• Limited access to better-paying and more-rewarding- jobs
• Poorer health and less social political participation
Consequences for low performers
Consequences for education systems
Source: Figure 1.10.
350 400 450 500 550 600 6500
10
20
30
40
50
60
70
80
90
100
60.7
66.5
19.718.7
19.0
67.1
43.8
13.8
51.5
12.8
73.8
59.9
29.9
21.0
16.8
10.5
12.3
22.4 17.7
35.7
8.5
28.1
21.5
75.7
16.9
33.5
24.7
11.1
68.6
45.2
9.1
19.914.1
26.0
24.3
10.8
51.8
54.756.7
14.8
22.622.3
74.6
14.4
24.9
69.6
40.8
24.0
38.9
3.88.3
27.5
20.1
23.6
27.1
12.4
49.7
67.8
42.0
46.3
21.8
25.9
55.8
14.3
23.0
R² = 0.96728357922774
13
2
45
678
9101112 13
1415
16 17
1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.
Reducing low performance is an effective way to improve
overall performance
At high levels of performance,
reducing % of low performers further is
challenging
Mor
e lo
w p
erfo
rmer
s
%
Higher mean score
0
10
20
30
40
50
60
70
80
90
100Bottom quarter Second quarter Third quarter Top quarter
The PISA index of economic, social and cultural status (ESCS):
Low performance compromises equality in educational opportunity
Source: Figure 2.2.
Perc
enta
ge o
f low
pe
rfor
mer
s
Low performers come more frequently from socio-economically
disadvantaged families
The economic value of eliminating low performance
Baseline skills Full enrolment without increase in
quality
Baseline skills and full enrolment
0%100%200%300%400%500%600%700%800%900%
1000%1100%1200%1300%1400%
Lower middle income countriesUpper middle income countriesHigh income non-OECD
Value of improvement in terms of current GDP over working life of today’s 15-year-olds
The increase in GDP among high income countries would still
exceed total current spending on schooling
LOW-PERFORMING STUDENTS:
HOW MANY ARE THERE?
All countries participating in PISA have a sizable share of low performers
Percentage of low performers (Level 1 or below) in Mathematics
Source: Figure 1.5.
Indon
esia
Qatar
Tunisi
a
Costa
Rica
Mexico
Thaila
nd
Bulgar
ia
Serbia
Croati
a
Sweden
Portug
al
Russia
n Fed
erati
on
New Zea
land
United
King
dom
Sloven
ia
Belgium
Irelan
d
Poland
Canad
a
Finlan
d
Estonia
Singap
ore
0
10
20
30
40
50
60
70
80
Below level 1 Level 1%
50% or more:16 countries
10% or less:
4 countries /
economies
What this means in absolute terms, across all countries and economies
Overlap of low performers in mathematics, reading and science
Reading and mathematics1 035 845
Mathematics and
science1 782 032 Reading and
science353 331
Reading, mathematics and science
6 463 602
Mathematics
only
2 127 165
Science only
483 912
Reading only
659 939
Source: Figure 1.1.
Low performers in at least one
subject:12 905 826
Mexico
Tunisi
a
Poland
Russia
n Fed
erati
on
Thaila
ndLatv
ia
Indon
esia
Switzer
land
Macao
-Chin
a
Austri
a
United
States
OECD aver
age 2
003
Norway
Belgium
Canad
a
Czech
Rep
ublic
Austra
lia
Franc
e
Slovak
Rep
ublic
Urugu
ay0
10
2030
40
5060
70
8090
Percentage of students below Level 2 in 2012Percentage of students below Level 2 in 2003
%
Uneven progress in reducing low performance in mathematics
Source: Figure 1.11.
Low PerformanceStudents
Socio-economic statusDemographic background
Progress through educationAttitudes and behaviours
SchoolsSchool composition
Learning environmentResources and administration
SystemsAllocation of resourcesStratification policies
Governance
What are the main risk factors of low performance at age 15?
STUDENTS’ BACKGROUND
AND
LOW PERFORMANCE
1.0
3.0
5.0
7.0
9.0
11.0
13.0
15.0
17.0
19.0
After accounting for other student characteristicsBefore accounting for other student characteristicsOdds
ratio
Socio-economic status
Source: Figure 2.3.
Mor
e lik
ely
to b
e lo
w
perf
orm
er More likely to be low performer:socio-economically disadvantaged studentsOdds ratios higher than 1.0 mean that disadvantaged
students are more likely to be low performers than
advantaged students
Gender (OECD average)
Source: Figure 2.4.
Mathematics Reading Science Low-performers in all subjects
0
5
10
15
20
25
30
Boys GirlsPe
rcen
tage
of l
ow p
erfo
rmer
s
Boys are more often low performers in reading and scienceGirls are more often low performers in mathematics
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
After accounting for other student characteristicsBefore accounting for other student characteristics
Odds ratio
Immigrant background
Source: Figure 2.7.
More likely to be low performer:students with an immigrant background
STUDENTS’ PROGRESS THROUGH EDUCATION
AND
LOW PERFORMANCE
Estonia
Canad
a
Irelan
d
Nether
lands
Chines
e Taip
ei
Russia
n Fed
erati
on
Lithu
ania
Icelan
d
Austra
lia
New Zea
land
United
King
dom
Serbia Ita
ly
Kazak
hstan
Malays
ia
United
Arab E
mirates
Monten
egro
Thail
and
Chile
Jorda
n
Colombia Pe
ru0
102030405060708090
100
No pre-primary educationA year or less of pre-primary educationMore than a year of pre-primary education%
Pre-primary education
Source: Figure 2.13.
More low performers among students with no pre-primary education
0
10
20
30
40
50
60
70
80
90
100Have not repeated a grade Have repeated a grade%
Grade repetition
Source: Figure 2.15.
More low performers among students who had repeated a grade
0
10
20
30
40
50
60
70
80
90
100
Enrolled in a general programme Enrolled in a vocational programme%
Program orientation
Source: Figure 2.17.
More low performers among students enrolled in vocational programmes
The risk of low performance is cumulative and multidimensional
Source: Figure 2.19.
Demographic background
Progress through education
Disad-vantaged
SES
Girl Immi-grant back-
ground
Different language
Lives in a rural area
Single-parent
A year or
less of pre-
primary
Has no pre-
primary
Re-peated a grade
Voca-tional track
0
10
20
30
40
50
60
70
80
90
Socio-economically advantaged studentSocio-economically disadvantaged student
Probability of low performance (%)
Cumulative probability of becoming a low performer
Socio-economic
status
STUDENTS’ ATTITUDES AND BEHAVIORS
AND
LOW PERFORMANCE
More hours spent doing homework is associated with a lower risk of low performance, at least up to a point
Source: Figure 3.4.
One Two Three Four Five Six Seven Eight
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
After accounting for students' characteristicsBefore accounting for students' characteristics
Odds ratio :
hours of homework
versus no
homework
Students who spend 6 hours on homework per week are 70% less likely to be low performers than students who do no
homeworkLess
like
ly t
o be
low
per
form
ers
Participation in mathematics-related activities and low performance
Source: Figure 3.5.
-25
-20
-15
-10
-5
0
5
10
15
Difference between low and moderate performersDifference between low and strong/top performersPercentage-
point difference
When activities require higher-order skills, top performers participate more
When activities are social and recreational, low performers
participate more
Low performers in mathematics perceive their effort to be unproductive
Source: Figure 3.6.
I work hard on my mathematics
homework
I finish homework in time for mathematics
class
I study hard for mathematics quizzes
I am prepared for mathematics exams
-25
-20
-15
-10
-5
0
Difference between low and moderate performersDifference between low performers and strong/top performers
Percentage-point difference
Low performers need support when preparing for exams and doing
homeworkWhen questions relate to the outcomes of these
efforts:differences are large
When questions relate to invested effort: differences are small
What matters for students’ attitudes towards school and learning is their performance, not their socio-economic status
Source: Figure 3.18.
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
Attendance at school Sense of belonging at schoolPerseverance Mathematics self-efficacy
Mean index
ESCS refers to the PISA index of economic, social and cultural status
Low performers' attitudes towards school and learning, by school subject
Source: Figure 3.19.
Not a low performer Low performer in one subject
Low performer in two
subjects
Low performerin reading,
mathematics and science
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
Attendance at school Sense of belonging at schoolMean index
Early detection
Disengaged students
SCHOOLS
AND
LOW PERFORMANCE
Viet N
am
Turke
y
Thaila
nd
Colombia
Tunisi
a
Urugu
ayChil
e
Shang
hai-C
hina
Hunga
ry
Portug
al
Bulgar
ia
Slovak
Rep
ublic
SerbiaLatv
ia
Czech
Rep
ublicJap
an
Austri
a
Greec
e
Monten
egro
Poland
Sloven
ia
OECD aver
age
Russia
n Fed
erati
on
New Zea
landIsr
ael
Nether
lands
Switzer
land
United
King
dom
United
Ara
b Emira
tes
Sweden
Canad
a
Norway
-3.00
-2.50
-2.00
-1.50
-1.00
-0.50
0.00
0.50
1.00
Below Level 1 Level 1Moderate performers (Level 2 or 3) Strong performers (Level 4)Top performers (Level 5 or 6)
Mean index
Socio-economic profile of schools
Source: Figure 4.4.
Low performers tend to have school peers of lower socio-economic status
Socio-economic inclusion in schools
Source: Figure 5.1a.
40 50 60 70 80 90 1000
10
20
30
40
50
60
70
80
United States
R² = 0.27224937063839
1.2.3.4.5.6.7.8.9.
1 23 45
67
8
9
Fewer low performers in countries with more social inclusion in schools
Mor
e lo
w p
erfo
rmer
s
More socio-economic inclusion in schools
%
%
Macao
-Chin
a
Roman
ia
Austri
a
Slove
nia
Denmar
k
Serb
ia
Hong K
ong-C
hina
Russia
n Fed
erati
on
Jorda
nSp
ain
Slova
k Rep
ublic
Estonia
Austra
lia
Portu
gal
United
King
dom
Greec
e
Turk
ey
United
Ara
b Emira
tes
Singa
pore
Chile
Indon
esia
0.0
0.5
1.0
1.5
2.0
2.5
3.0
After accounting for socio-economic status of students and schoolsBefore accounting for socio-economic status of students and schoolsOdds ratio
Teachers’ expectations
Source: Figure 4.5.
More likely to be low performers: students in schools where teachers have low expectations
Austri
a
Luxem
bour
g
Monten
egro
Serb
ia
Portu
gal
Bulgar
ia
Urugu
ayIsr
ael
Chile
Polan
d
Thail
and
Lithu
ania
Spain
Turk
ey
Swed
en
New Zea
land
Kazak
hstan
Chines
e Taip
ei
Jorda
n
United
King
dom
Viet N
amKor
ea0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
After accounting for socio-economic status of students and schoolsBefore accounting for socio-economic status of students and schoolsOdds ratio
Teachers’ support
Source: Figure 4.7.
More likely to be low performers: students in schools where there is less teacher support
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
After accounting for socio-economic status of students and schoolsBefore accounting for socio-economic status of students and schoolsOdds ratio
Teachers’ morale
Source: Figure 4.8.
More likely to be low performers: students in schools where teachers’ morale is lower
Sloven
ia
Croati
aJap
an
Finlan
d
Slova
k Rep
ublic
Icelan
d
Norway
Austra
lia
United
States
German
y
Urugu
ay
Malays
iaLa
tvia
Russia
n Fed
erati
on
Austri
a
Czech
Rep
ublic
Denmar
k
Nether
lands
Singa
pore
Bulgar
ia
Jorda
n
United
King
dom
Fran
ce
Thaila
nd Italy
Switz
erlan
d
Macao
-Chin
aQata
r
Estonia
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
After accounting for socio-economic status of students and schoolsBefore accounting for socio-economic status of students and schoolsOdds ratio
Teachers’ absenteeism
Source: Figure 4.9.
More likely to be low performers: students in schools with more teachers’ absenteeism
0.0
0.5
1.0
1.5
2.0
2.5
3.0
After accounting for socio-economic status of students and schoolsBefore accounting for socio-economic status of students and schoolsOdds ratio
Parental pressure for high achievement and low performance
Source: OECD, Figure 4.12.
More likely to be low performers: students in schools where there is less parental pressure
School resources: infrastructure, teachers, materials, class size
Source: Figure 5.2.
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.00
10
20
30
40
50
60
70
80
R² = 0.0417888129674445R² = 0.0561260362232043
R² = 0.430198406778256R² = 0.244989154778118
Mean of each index
Perc
enta
ge o
f low
per
form
ers
in m
athe
mati
cs
Quality of physical infrastructure
Teacher shortage
Class size
Quality of schools' educational resources
System-level correlation (all countries/economies in PISA 2012)
School resources by country’s resources level
Source: Figure 5.3.
-1.5 -1.0 -0.5 0.0 0.5 1.00
10
20
30
40
50
60
70
80
R² = 0.418171831164844
R² = 0.000895617937117232
R² = 0.346785311760818R² = 0
Mean of each index
Perc
enta
ge o
f low
per
form
ers
in m
athe
mati
cs
OEC
D av
erag
eQuality of physical infrastructure (below OECD average)
Quality of schools' educational resources
(below OECD average)
Quality of schools' educational resources (above OECD average)
Quality of physical infrastructure
(above OECD average)
System-level correlation (all countries/economies in PISA 2012)
Equity in resources across schools
Source: Figure 5.5.
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.00
10
20
30
40
50
60
70
80
R² = 0.12732372144503
R² = 0.00652570200338576
R² = 0.359387819993253
R² = 0.105722350320994
Equity in resource allocation
Perc
enta
ge o
f lo
w /
top
per
form
ers
in m
athe
mati
cs
Equity in resource allocation and low performers, after accounting for the quality of schools' educational resources
Equity in resource allocation and low performers
Equity in resource allocation
and top performers,
after accounting for the
quality of schools' educational
resources
Equity in resource allocation
and top performers
System-level correlation (all countries/economies in PISA 2012)
School system structure (1)
Source: Figure 5.11.
-3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 5.00
10
20
30
40
50
60
70
R² = 0.0660189055701901
R² = 0.000178608142048176
R² = 0.167310209016509
Mean of each index
Perc
enta
ge o
f low
per
form
ers
in m
athe
mati
cs
Vertical stratification
Ability grouping within schools
Between-school horizontal stratification
System-level correlation (all countries/economies with data in PISA 2012)
A POLICY FRAMEWORK
FOR TACKLING STUDENT
LOW PERFORMANCE
StudentsSocio-economic status
Socio-economic disadvantageDemographic backgroundGirls (math), Boys (reading and science)Immigrant, language minority,
rural areasSingle parent family
Progress through educationLack of pre-primary
Grade repetitionVocational programme
Attitudes and behavioursMissing classes
Low perseverance
Summary: Risk Factors of Low Performance
SchoolsSchool compositionConcentration of disadvantaged
studentsLearning environment
Low expectations for studentsUnsupportive teachers,
low teacher moraleMore ability groupingLack of after-school
opportunitiesUninvolved parents and
communitiesResources and administration
Lack of qualified teachersLack of quality educational
resources
Summary: Risk Factors of Low Performance