school leadership for learning launch - presentation by montserrat gomendio - 20-09-16
TRANSCRIPT
Mean mathematics performance, by school location, after accounting for socio-economic status Fig II.3.322 Background: TALIS 2013
…representing more than 4 million teachers in over 30 coun-tries and economies…
Over 100 thousand randomly selected lower secondary teach-ers and their school leaders from over 6500 schools
…took an internationally-agreed survey about the working condi-tions and learning environments in their schools…
…principals respond to questions about their background, their practices, support and development, their relationships with teachers and other stake-holders and the leadership in their schools
TALIS 2013 – 38 systems
*Note: TALIS 2013 only runs in a sub-national entity in the following countries: Belgium (Flemish Community), Canada (Alberta), United Arab Emirates (Abu Dhabi) and United Kingdom (England). This map is for illustrative purposes and is without prejudice to the status of or sovereignty over any territory covered by this map.
TALIS 2013 Participants 2014
Instructional leadership• Refers to the efforts of the principal in supporting instruction and learning in their
school• Index includes the frequency that principals: take action to support co-operation
among teacher to develop new teaching practices, take action to ensure that teachers take responsibility for improving their teaching skills, take action to en-sure that teachers feel responsible for their student’s learning outcomes.
Distributed leadership • Acknowledges the collective effort of improving school quality by taking into ac-
count the involvement of other relevant stakeholders. • Index includes the level of principals agreement on whether: the school provides
staff with opportunities to actively participate in school decisions, provides parents or guardians with opportunities to actively participate in school decisions, and provides students with opportunities to actively participate in school decisions.
5
55 Mean mathematics performance, by school location, after accounting for socio-economic status Fig II.3.355 Defining instructional and distributed leadership
6
66 Mean mathematics performance, by school location, after accounting for socio-economic status Fig II.3.366
Principals’ engagement in instructional leadership in lower secondary education. International average compare with the U.S. average
020406080
100International Average United States
Perc
enta
ge
7
77 Mean mathematics performance, by school location, after accounting for socio-economic status Fig II.3.377
Engagement in instructional leadership in lower sec-ondary education across TALIS systems
Mal
aysi
aAb
u D
habi
(UAE
)Sh
angh
ai (C
hina
)Ch
ileRo
man
iaBu
lgar
iaSe
rbia
Slov
ak R
epub
licSi
ngap
ore
Albe
rta
(Can
ada)
Braz
ilM
exic
oKo
rea
Pola
ndIs
rael
Russ
ian
Fede
ratio
nAu
stra
liaLa
tvia
Engl
and
(UK)
Geor
gia
New
Zea
land
Czec
h Re
publ
icAv
erag
ePo
rtug
alNe
ther
land
sCr
oatia
Italy
Icel
and
Spai
nFr
ance
Swed
enEs
toni
aNo
rway
Denm
ark
Finla
ndFla
nder
s (Be
lgiu
m)
Japa
n
0
50
100
150
200
250
300
Take action to ensure that teachers feel responsible for their students' learning outcomesTake action to ensure that teachers take responsibility for improving their teaching skillsTake action to support co-operation among teachers to develop new teaching practices
Cum
ulat
ive
perc
enta
ge
8
88 Mean mathematics performance, by school location, after accounting for socio-economic status Fig II.3.388
Instructional leadership, by principals’ training in instruc-tional leadership in lower secondary education
Spai
n
Rom
ania
Denm
ark
Norw
ay
Braz
il
Mex
ico
Bulg
aria
Czec
h Re
publ
ic
Russ
ian
Fede
ratio
n
Port
ugal
Slov
ak R
epub
lic
Esto
nia
Finla
nd
Aver
age
Fran
ce
New
Zea
land
Serb
ia
Croa
tia
Pola
nd
Isra
el
Italy
Latv
ia
Fland
ers (
Belg
ium
)
Aust
ralia
Engl
and
(UK)
Neth
erla
nds
7.0
8.0
9.0
10.0
11.0
12.0
13.0
Principals received training in instructional leadership Principals received no training in instructional leadership Series4
Ave
rage
sco
re o
n th
e in
stru
ctio
nal l
eade
rshi
p sc
ale
Notes: The figure includes only those countries and economies in which at least 10% of the principals indicated that they participated in training or a course in instructional leadership and at least 10% of the principals indicated that they did not participate in such a training or course.
9
99 Mean mathematics performance, by school location, after accounting for socio-economic status Fig II.3.399 Principals’ engagement in distributed leadership activities in lower secondary educa-
tion. International average compare with the U.S. average
020406080
100International Average United States
Perc
enta
ge
10
1010 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.31010
Engagement in distributed leadership in lower sec-ondary education across TALIS systems
Latv
iaSh
angh
ai (C
hina
)Po
land
Kore
aEs
toni
aGe
orgi
aSe
rbia
Russ
ian
Fede
ra...
Norw
ayFla
nder
s (Be
lgiu
m)
Braz
ilCz
ech
Repu
blic
Croa
tiaPo
rtug
alAl
bert
a (C
anad
a)Ne
w Z
eala
ndSp
ain
Aust
ralia
Mex
ico
Engl
and
(UK)
Rom
ania
Icel
and
Aver
age
Bulg
aria
Chile
Denm
ark
Abu
Dha
bi (U
AE)
Neth
erla
nds
Sing
apor
eFr
ance
Mal
aysi
aSl
ovak
Rep
ublic
Swed
enFin
land
Italy
Isra
elJa
pan
0
50
100
150
200
250
300
This school provides staff with opportunities to actively participate in school decisionsThis school provides parents or guardians with opportunities to actively participate in school decisionsThis school provides students with opportunities to actively participate in school decisions
Cum
ulat
ive
perc
enta
ge
11
1111 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.31111
Distributed leadership, by principals’ professional development activities, in lower secondary education
Net
herla
nds
Engl
and
(UK)
Kore
aSh
angh
ai (C
hina
)M
exic
oIc
elan
dSp
ain
Sing
apor
eSl
ovak
Rep
ublic
Bulg
aria
Abu
Dhab
i (UA
E)Ro
man
iaBr
azil
Serb
iaIta
lyAv
erag
eDe
nmar
kM
alay
siaFi
nlan
dN
ew Z
eala
ndAl
bert
a (C
anad
a)Ja
pan
Swed
enCz
ech
Repu
blic
Flan
ders
(Bel
gium
)Cr
oatia
Esto
nia
Latv
iaIsr
ael
Fran
ceAu
stra
liaPo
rtug
alRu
ssia
n Fe
dera
tion
Chile
Nor
way
Pola
ndGe
orgi
a
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
Professional network, mentoring or research activity Courses, conferences or observational visits Other professional development
Diff
eren
ce in
sco
res
on th
e di
strib
uted
lead
ersh
ip s
cale
Integrated leaders
• Strong focus on instructional as well as distributed leadership. • Spend considerable time on curriculum and teaching related tasks in school. • Most use student outcomes to develop the school’s educational goals or programmes and a professional development plan for his/her
school.
Inclusive leaders
• Strong focus on distributed leadership, but a weak focus on instructional leadership. • Spend little time on curriculum and teaching related tasks in school. • Some use student outcomes to develop the school’s educational goals or programmes and a professional development plan for his/
her school.
Educational leaders
• Strong focus on instructional leadership, but a weak focus on distributed leadership. • Spend much time on curriculum and teaching related tasks in school. • Most use student outcomes to develop the school’s educational goals or programmes and a professional development plan for his/her
school.
Administrative leaders
• Weak focus on instructional as well as distributed leadership. • Spends some time on curriculum and teaching-related tasks in school. • Many use student outcomes to develop the school’s educational goals or programmes and a professional development plan for their
school.
1313 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.31313 Four types of school leadership
14
1414 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.31414
Percentage of principals in TALIS exercising integrated, inclusive, edu-cational or administrative leadership
50%
17%
23%
10%Integrated leadership
Inclusive leadership
Educational leadership
Administrative lead-ership
15
1515 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.31515
Countries and economies’ classification according to the overall leadership type of their principals
Mainly integrated leaders Mainly inclusive leaders Mainly educational leadersAbu Dhabi (United Arab Emirates) Croatia England (United Kingdom)
Alberta (Canada) Denmark Israel
Australia Estonia Italy
Brazil Finland Japan
Bulgaria Flanders (Belgium) New Zealand
Chile France Norway
Czech Republic Iceland Slovak Republic
Georgia Netherlands
Korea Portugal
Latvia Spain
Malaysia Sweden
Mexico
Poland
Romania
The Russian Federation
Serbia
Singapore
Shanghai (China)
1616 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.31616
Countries and economies’ classification according to the overall leadership type of their principals (cont.)
9.0 10.0 11.0 12.0 13.0 14.09.0
9.5
10.0
10.5
11.0
11.5
12.0
12.5
13.0
13.5
Japan
FinlandFlanders (Belgium)
Denmark EstoniaSweden
FranceSpain
Italy Croatia
New Zealand
PortugalThe Netherlands The Czech Republic
LatviaGeorgia
PolandAustraliaIsrael Slovak Republic Brazil
Russian FederationKoreaAlberta (Canada) SerbiaEngland (UK)
RomaniaBulgaria Mexico
Shanghai (China)Singapore
Chile
Abu Dhabi (UAE)
Malaysia
Degree of distributed leadership
Deg
ree
of in
stru
ctio
nal l
eade
rshi
p
Iceland
Countries and economies with mainly integrated leaders
Countries and econom-ies with mainly educa-
tional leaders
Countries and economies with
mainly inclusive leaders
Reflective dialogue
Teachers perception about the quality of the feed-back re-ceived
Deprivatised practice
Teachers provide
feedback following direct ob-
servation of the
classroom teaching of a colleague
Collaborative professional
activity
Teachers report on the fre-
quency with which they engage in
sharing ma-terials, dis-cuss and work with colleagues
Shared sense of purpose
Teachers perception on whether the school has a cul-
ture of shared re-sponsibility and mutual
support
Collective fo-cus on stu-
dent learning
Teachers description
on the feedback content
(e.g. stu-dent per-formance, behaviour
and as-sessment)
18
1818 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.31818 Professional learning communities’ factors
19
1919 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.31919
Deprivatised practice factor, by country and econ-omy, in lower secondary education
Kore
aNe
w Z
eala
ndNo
rway
Neth
erla
nds
Engl
and
(UK)
Russ
ian
Fede
ratio
nAu
stra
liaDe
nmar
kJa
pan
Shan
ghai
(Chi
na)
Latv
iaFin
land
Port
ugal
Esto
nia
Sing
apor
eRo
man
iaAv
erag
eIta
lyCz
ech
Repu
blic
Swed
enAl
bert
a (C
anad
a)Sl
ovak
Rep
ublic
Bulg
aria
Serb
iaM
exic
oSp
ain
Braz
ilGe
orgi
aIs
rael
Croa
tiaIc
elan
dCh
ileM
alay
siaAb
u D
habi
(UAE
)Fr
ance
Pola
ndFla
nder
s (Be
lgiu
m)
0
10
20
30
40
50
60
70
80
90
100
Ave
rage
per
cent
age
of te
ache
rs re
ceiv
ing
feed
back
follo
win
g cl
assr
oom
obs
erva
tion
by th
eir p
eers
20
2020 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32020
Association between types of leadership and professional learning communities' dimensions, across educational levels
Reflective dialogue
Deprivatised practice
Shared sense of purpose
Collaborative activity
Collective focus on student learning
Instructional leadership + + + +
Distributed leadership +
Instructional leadership + +
Distributed leadership +
Instructional leadership +
Distributed leadership +
Primary education
Lower secondary education
Upper secondary education
Notes: + = positive effect; - = negative effectSigns in bold font indicate significant effects at p < 0.01; grey signs indicate significant effects at p < 0.05Results of association are controlled for other school and teacher characteristics that might influence these relationships.
21
2121 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32121
Association of integrated leaders and countries with mainly integrated leaders with professional learning communities’ dimensions, in comparison with other types of leadership and country profiles
Notes: + = positive effect; - = negative effectSigns in bold font indicate significant effects at p < 0.01; grey signs indicate significant effects at p < 0.05Results of association are controlled for other school and teacher characteristics that might influence these relationships.
Reflective dialogue
Deprivatised practice
Shared sense of purpose
Collaborative activity
Collective focus on student learning
Integrated leaders (ref. category)
Educational leaders - - - -Inclusive leaders - -
Administrative leaders - - - -Country Profile: Mainly integrated leaders (ref.
category)Mainly inclusive leaders - - -
Mainly educational leaders
22
2222 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32222
Association of students’ socio-demographic characteristics with professional learning communities' dimen-sions, on lower secondary education
Notes: + = positive effect; - = negative effectSigns in bold font indicate significant effects at p < 0.01; grey signs indicate significant effects at p < 0.05Results of association are controlled for other school and teacher characteristics that might influence these relationships.
Reflective dialogue
Deprivatised practice
Shared sense of purpose
Collaborative activity
Collective focus on student learning
0% of students with special needs (ref. category)
1-10% of students + + +11-30% of students + + +31-60% of students
more than 60% of students + -0% of low SES students (ref.
category)
1-10% of students +11-30% of students + +31-60% of students + +
more than 60% of students + +
23
2323 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32323
Association of teachers’ characteristics with professional learning communi-ties' dimensions, on lower secondary education
Notes: + = positive effect; - = negative effectSigns in bold font indicate significant effects at p < 0.01; grey signs indicate significant effects at p < 0.05Results of association are controlled for other school and teacher characteristics that might influence these relationships.
Reflective dialogue
Deprivatised practice
Shared sense of purpose
Collaborative activity
Collective focus on student learning
Self-efficacy in the classroom - + - +Self-efficacy instruction + - + + +Self-efficacy in student engagement + - + + +
24
2424 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32424 Other relevant variables
Non-significant, weak or inconsistent associations with professional learning communities were found for the fol-lowing variables:
• School size• School autonomy• School type
Classroom disciplinary climate
Teachers’ description of student’s behaviour in
the classroom.
Teacher-student relation-ships
Teachers’ description on the quality of relation that the teaching staff
has with their students.
25
2525 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32525 Learning climate factors
26
2626 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32626
Classroom disciplinary climate scale, by country and economy, lower secondary education.
Japa
nGe
orgi
aSh
angh
ai (C
hina
)Ro
man
iaAb
u D
habi
(UAE
)Ru
ssia
n Fe
dera
tion
Croa
tiaSe
rbia
Pola
ndDe
nmar
kEs
toni
aIta
lyEn
glan
d (U
K)Ne
w Z
eala
ndM
exic
oBu
lgar
iaCz
ech
Repu
blic
Isra
elAv
erag
eAu
stra
liaAl
bert
a (C
anad
a)La
tvia
Norw
aySw
eden
Mal
aysia
Fland
ers (
Belg
ium
)Fin
land
Kore
aFr
ance
Neth
erla
nds
Slov
ak R
epub
licIc
elan
dPo
rtug
alSi
ngap
ore
Spai
nCh
ileBr
azil
6.0
7.0
8.0
9.0
10.0
11.0
12.0
13.0
Ave
rage
sco
re o
n th
e cl
assr
oom
dis
cipl
inar
y cl
imat
e sc
ale
27
2727 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32727
Association between types of leadership and positive learning envi-ronment dimensions, across educational levels
Notes: + = positive effect; - = negative effectSigns in bold font indicate significant effects at p < 0.01; grey signs indicate significant effects at p < 0.05Results of association are controlled for other school and teacher characteristics that might influence these relationships.
Classroom disciplinary
climate
Positive teacher-student
relationships
Instructional leadership
Distributed leadership +
Instructional leadership
Distributed leadership +
Instructional leadership
Distributed leadership +
Lower secondary education
Upper secondary education
Primary education
28
2828 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32828
Association of students’ socio-demographic characteristics with learning environment dimensions, lower secondary education
Notes: + = positive effect; - = negative effectSigns in bold font indicate significant effects at p < 0.01; grey signs indicate significant effects at p < 0.05Results of association are controlled for other school and teacher characteristics that might influence these relationships.
Classroom disciplinary climate
Positive teacher-student relationships
0% of students with special needs
1-10% of students - +11-30% of students -31-60% of students -
more than 60% of students - +0% of low SES students
1-10% of students
11-30% of students -31-60% of students - -
more than 60% of students - -
29
2929 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.32929
Association of teachers’ characteristics with learning environment dimen-sions, lower secondary education
Notes: + = positive effect; - = negative effectSigns in bold font indicate significant effects at p < 0.01; grey signs indicate significant effects at p < 0.05Results of association are controlled for other school and teacher characteristics that might influence these relationships.
Classroom disciplinary climate
Positive teacher-student relationships
Self-efficacy in the classroom + +Self-efficacy instruction - +Self-efficacy in student engagement + +
30
3030 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.33030
Association of school’ characteristics with learning environment dimensions, lower secondary education
Notes: + = positive effect; - = negative effectSigns in bold font indicate significant effects at p < 0.01; grey signs indicate significant effects at p < 0.05Results of association are controlled for other school and teacher characteristics that might influence these relationships.
Classroom disciplinary climate
Positive teacher-student relationships
300- or fewer students
301-600 students - -601-1200 students - -
more than 1200 students - -
32
3232 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.33232 Context, School leadership and professional learning communities
• The link between principals' leadership and students achievement is rarely direct.
• Principals' actions are mediated by a series of school factors which include teacher quality.
• Principals' have the means of improving teacher quality through actions such as fostering a professional learning community.
33
3333 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.33333
Context, School leadership and professional learning communities (cont.)
• However, the association between leadership, professional learning communities and student achievement should be considered carefully: – In schools with several or many less-competent teachers, actions such as
providing feedback, observing each other’s classes or engaging in teacher col-laboration may lead to the diffusion or the perpetuation of bad practices.
– On the other hand, in schools with a highly qualified teaching workforce, pro-fessional learning communities may do very little to improve the practices of an already exceptional workforce, but it can help to sustain their level of excellence.
• More research is needed to understand how principals, professional learning communities and student achievement operate in different contexts.
35
3535 Mean mathematics performance, by school location, after accounting
for socio-economic status Fig II.3.33535 The importance of school leadership
In this report we were able to show the link between different types of school leadership and professional learning communities.
• Distributed leadership Greater sense of purpose in the schools
• Instructional leadership Greater levels of collaboration between teachers
• Integrated leadership Most favourable approach for PLC
• Although a large number of principals demonstrate forms of integrated leadership, some school leaders mainly rely on instructional leadership or distributed leadership. For developing professional learning com-munities, a integrated role for the school leader seems appropriate.
Mean mathematics performance, by school location, after accounting for socio-economic status Fig II.3.33
636 How can systems support school leadership?
Policies supporting school leadership should consider:• requiring principals to participate in training and in-service
professional development instances that include leader-ship;
• guiding principals and teachers in creating a culture of shared responsibility based on collaboration and support;
• “freeing” hours of administrative work for principals in order to engage with teachers’ work or assigning a specific staff member to this task;
• opening up opportunities for the participation of teachers in school decisions; and
• supporting teachers in their professional development needs in order to boost their sense of self-efficacy.
Mean mathematics performance, by school location, after accounting for socio-economic status Fig II.3.337 “School leadership for Learning” authors:
• The report has been prepared by researchers from the Groningen Institute for Educational Research (GION):
Lyset Rekers-Mom-barg
Marij Veldman
Ralf Maslowski
Under the oversight of the OECD Secretariat
Roel Bosker