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Cross-national patterns associated with adult learning systems:
Patterns of participation, outcomes and coordination
Singapore, November 2017
RICHARD DESJARDINSUCLA Department of Education
Overview
§ What is meant by Adult Learning Systems?
§ Cross-national patterns of participationThe flow of adult learningIts impact on the stock of qualificationsThe growth of adult learning
§ Cross-national patterns of outcomesRelationship to labour market outcomes: employment and earnings
§ Cross-national patterns of coordinationCoordination of the demand and supply of AERole of qualification systems in fostering AERole of selected economic and social policy instruments in fostering AE
Two related products
DRAFT
PIAAC Thematic Report on Adult Learning
An adult learning system perspective
§ Adult learning/education are age related conceptsLifelong learning includes all learning cradle-grave (holistic)Adult learning is age-related (second chance/delayed, continued for work/societal/personal reasons)
§ Distinguishing adult vs regular students in FE difficultFE can be exclusively for either type … can include both but with adaptations to accommodate adults… can include both with no adaptations (differs by country)
§ ALS are the mass of organized learning opportunities available to adults…… along with their underlying structures and stakeholders that shape their organization and governance
§ Organized learning includes…FE qualifications attained by non-traditional studentsNon-formal education activities
§ Non-formal provisions (may be linked to qualifications)Directly or indirectly job-related (on-the-job training, basic skills)Non-job related (basic skills, community involvement, leisure)
Major types of organized adult learning
§ Types: Remedial (compensatory, second chance, basic skills)Liberal (community, leisure, basic skills)CTVET (initial vs continuing – age of students)AHE (regular/traditional vs adult/non-traditional)
§ Formal vs non-formal not very useful as a distinctionIncreasing links between the two in flexible mannerPIAAC does not reflect this reality
§ …Adult Basic Education(ABE) (may lead to ISCED: 1,2 for 19+) Mostly formal, but non-formal modules may lead to equivalent qualification
§ …Adult General Education(AGE) (may lead to ISCED: 3 for 21+)Typically formal – usually high school equivalence (e.g. GED)
§ …Adult Vocational Education(AVE) (may lead to ISCED: 4 for 21+, 5b for 26+)Formal and non-formal – extent of formal depends on how well country’s VET system is developed
§ …Adult Higher Education(AHE) (leads to ISCED: 5b,5a for 26+; 6 for 30+) Formal type
§ …Adult Liberal Education(ALE) Non-formal type, can be linked to ABE, AGE, AVE or AHE in certain countries
Features of ALS
§ General features of ALS conceptComprises governance, financing & provision structures related to AE
Beyond the responsibility of any given ministry or institution
Difficult to pinpoint
Views AE systems as overlapping with E&T and other systems
Embedded in society at intersection of E&T, LM, Welfare systems
Not seen as a system per se, but some countries feature more coordination and integration of key elements (common language and vision)
§ Distinguishing factors of advanced ALS in different countriesDegree of openness of FE systems to non-traditional students
Level of integration of ABE-AVE-AHE and ALE
Flexible and open qualification systems linking to AE and non-formal provisions (e.g. greater integration among ABE-AGE-AVE-AHE provisions)
High and widely distributed participation in AE & foundation skills
Diverse provision catering to diverse needs
Targeting and outreach to socially disadvantaged adults
Extent of AE: Stock vs flow
§ StockPast Formal AE à qualifications
Adults participated in credentialed (degree or diploma) programs
Including: Basic skill courses à ISCED 1, 2, 3
Apprenticeships à ISCED 4, 5b
Higher education à ISCED 5a, 6
Qualifications attained at older ages = past AE activity
§ FlowCurrent (last 12 mths) Formal and non-formal AE à future qualification?
Adults participate in: Basic skills courses; Credential (degree or diploma) programs; Apprenticeships; Work-related courses; Informal learning at work; Personal interest/personal development courses
Excludes students in regular initial cycle (those following normative path to qualifications)
Cross-national patterns of participation
Stock of qualifications attained via AE
0000
3011
13
24
000
22
111
20
44
12
11
21
04
65
13
25
20
23
74
74
19
16
94
81
72
812
913
129
52
138
1020
01
000
34
32
10
10
42
30
80
104
00
04
04
65
93
67
1
11
43
25
53
36
34
95
94
35
76
616
558
847
108
109
127
11
10
12
12
101
13
06
43
15
435
54
32
5356
54
210
0 5 10 15 20 25 30 35 40 45
JapanFlanders (Belgium)
Cyprus¹Slovak Republic
TurkeyRussian Federation²
GreeceAustria
Czech RepublicItaly
FranceSpainKorea
PolandSingapore
EstoniaNorthern Ireland (UK)
LithuaniaSlovenia
IrelandOECD Average
IsraelChile
England (UK)Australia
NetherlandsGermany
United StatesNew Zealand
CanadaFinland
SwedenNorway
Denmark
ISCED 2 or lower (19+) ISCED 3 (21+) ISCED 4 (21+) ISCED 5b (26+) ISCED 5a BA (26+), MA, PHD (30+) Percent
Recent AE flow in formal provisionsExpected to add to stock of qualifications
000
100
100
0000011
100
12
00
32
02
01
111
21
00
11
11
011
11
01
21
04
11
25
01
32
13
42
51
27
3
00
00
00
011
10
12
11
20
00
20
04
14
51
22
06
30
2
010
00
00
00
11
01
21
21
34
11
42
10
22
02
22
11
3
022
12
23
22
223
11
33
24
33
26
43
23
36
34
35
34
0 2 4 6 8 10 12 14
JapanKorea
Cyprus¹France
Czech RepublicSlovak Republic
ItalyPoland
GreeceLithuania
AustriaRussian Federation²
GermanyFlanders (Belgium)
EstoniaSingapore
TurkeySlovenia
ChileOECD Average
Northern Ireland (UK)Israel
United StatesSpain
SwedenCanada
DenmarkFinland
AustraliaNetherlands
IrelandNorway
England (UK)New Zealand
ISCED 2 or lower (19+) ISCED 3 (21+) ISCED 4 (21+) ISCED 5b (26+) ISCED 5a BA (26+), MA, PHD (30+) Percent
Recent AE flow in all types of provisions
13
2112222
301
44
62
54
34
26
277
69
55
789
78
78
1015
21212121
2423
2726
2527
2731
263031
3235
3235
343638
3539
4141
4041
4342
01
10
1011
01
13
11
012
11
2111
11
112
211
111
1101101112
0111
31111101121110
221
221
622
35
54
73
77
1076
665
54
542
544
633
44
454
3
33
32
424
54
85
957
66
66
67
45
64
76
56
98
86
65
1918
1822
32303236
3443
414943
46484746
4746
51474751
5256
5753
5563
6362
656461
20 10 0 10 20 30 40 50 60
GreeceTurkey
Russian Federation²Italy
PolandSlovak Republic
LithuaniaCyprus¹France
SpainJapanKoreaChile
SloveniaIrelandAustria
IsraelOECD Average
Flanders (Belgium)Estonia
Czech RepublicNorthern Ireland (UK)
GermanyAustraliaCanada
United StatesEngland (UK)
SingaporeSwedenFinland
NetherlandsNew Zealand
DenmarkNorway
Adult Formal Education (AFE) (qualifications) - Job related Non-Formal Education (NFE) only - Job relatedAFE/NFE - Non-job related Total participation
Percent
Non-employer supported Employer-supported
Growth of AESince the 1990s
38
34
32
38
22
28
35
23
26
20
8
16
8
17
11
8
8
50
49
45
51
32
44
52
39
52
38
16
44
23
49
36
31
34
2
2
2
2
2
2
3
3
3
4
5
5
5
6
7
7
8
20 0 20 40 60
Finland
Sweden
England (UK)
Norway
Slovenia
United States
Denmark
Northern Ireland (UK)
New Zealand
Czech Republic
Italy
Canada
Poland
Netherlands
Flanders (Belgium)
Chile
Ireland
LFS annualized % change (ca 1992-2014)PIAAC 2012-2015
IALS 1994-1998
Percent
Annualized growth rate
Percent of adults participating in employer supported AE in PIAAC
vs IALS
22
58
53
56
45
42
48
46
33
32
31
36
27
14
22
22
19
22
63
63
64
54
56
61
65
46
46
55
62
47
32
47
48
43
0
1
1
1
1
2
2
2
2
2
3
3
4
4
5
5
5
20 0 20 40 60 80
Italy
Finland
Sweden
Denmark
England (UK)
United States
Norway
New Zealand
Slovenia
Northern Ireland (UK)
Canada
Netherlands
Czech Republic
Poland
Flanders (Belgium)
Ireland
Chile
LFS annualized % change (ca 1992-2014)PIAAC 2012-15
IALS 1994-1998
Percent
Annualized growth
rate
Percent of adults participating in any AE in PIAAC vs IALS
Summary of factors predicting take-up of employer supported AE
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Read at work ICT use at work Firm SizeOccupation Education Literacy skillSector Industry AgeImmigration-language status Gender
Effect sizes
Socio-demographic factors related to AEAdjusted probabilities of participating in any AE by age
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
16-25 (Youth) 26-40 (Early career aged)41-55 (Mid career aged) 56-65 (Late career aged)
Adj. Probability
Socio-demographic factors related to AE Adjusted probabilities of participating in any AE by literacy
proficiency
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Level 4/5 Level 3 Level 2 Level 1 or below
Adj. Probability
Cross-national patterns of outcomes
Employment advantage of having attained ISCED 3 as an adult (21+) vs not attaining ISCED 3 at all
Adv
anta
ge o
f hav
ing
atta
ined
IS
CED
3 b
eyon
d no
rmat
ive
age
vs n
ot a
ttain
ing
ISC
ED 3
0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
JapanUS
EstoniaIreland
SwedenKorea
NorwayItaly
DenmarkUK
NetherlandsFranceAustriaFinland
GermanySpain
BelgiumCyprusPoland
Czech RepublicSlovak Republic
Advantage of having attained ISCED 3 beyond normative age vs not attaining ISCED 3ISCED 3, beyond normative age >20ISCED 3, within normative age <=20Did not complete ISCED 3
Adj. Probability
Earnings advantage of having attained ISCED 5a as an adult (26+) vs not attaining HE at all
0.3 0.2 0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
Czech Republic
US
Japan
Spain
Cyprus
UK
Finland
France
Denmark
Norway
Austria
Estonia
Belgium
Italy
Sweden
Korea
Ireland
Netherlands
Poland
Slovak Republic
Germany
Advantage/disadvantage of completing beyond normative ageEarnings premium for ISCED 5a (BA), beyond normative age >25Earnings premium for ISCED 5a (BA), within normative age <=25
Adj. Probability
Adv
anta
ge o
f hav
ing
atta
ined
qu
alifi
catio
n be
yond
vs
with
in
norm
ativ
e ag
e
Disadvantage of having attained qualification beyond vs w
ithin norm
ative age
Openness of FE systems to adults students and employment rate
y = 0.9919x - 0.5258R² = 0.25125
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85Employment rate
Perc
entw
ho a
ttain
ed h
ighe
st q
ualif
icat
ion
beyo
nd n
orm
ativ
e ag
e
Correlation = 0.5
Openness of HE systems to adults students and literacy skills
AT
CA
CY
CZ
DK
ET
FI
FR
DE
IR
KO
NL
NO
PL
SL
ES
SE
UK
US
IT
R² = 0.38242
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
250 255 260 265 270 275 280 285 290 295 300Average literacy skill score (PIAAC) of adult populations
Ratio of HE graduates over 30 vs under 30
Correlation = 0.62
Cross-national patterns of coordination
Fostering demand is a key challenge but so is helping citizens overcome barriers
25 27 28 28 31 31 36 37 37 38 38 41 42 42 46 47 50 55 55 5765 67
7 7 6 6 10 4 9 12 7 12 10 7 7 12 5 5 6 7 8 4 8 3
26 25 25 2027
1822 20 23
21 2216 14
2014 12 14 15 11
89
6
42 41 42 46 3247 33 32 33 29 30
36 3726
35 35 30 23 2631 18
25
80
60
40
20
0
20
40
60
80
No demand Unmet demand Partially met Met demand
Percent
Source: PIAAC, 2012
Coordinating the supply and demand for AE
Demand not met• Shortage of provision• Unable to overcome
barriers
Coordinating adult learning systems§ Qualification systems
Open and flexible (good for motivation, reach…)
§ Public support for educationNeeds to be combined with open and flexible FE structures
§ Active labour market policiesNeeds to be connected to training, qualification attainmentSuccess probably related to diversified & flexible provision
§ TargetingRelates to progressive social policy designed to mitigate inequality and barriers of socially disadvantaged citizens
§ Stimulating ‘quality’ jobsHigh skill jobsNon-routine jobs
Coordinating tools: Total welfare spending unrelated to advancedness to ALS
Source: PIAAC, 2012
Important to distinguish between welfare expenditures that are proximal or distal to activating learning
DK
FI
NO
DE
NL
UK
US
KO
JA
SEATBE
IRCZ
ET
POSV
FR
ITES
CA
Average
3
8
13
18
23
28
33
0 5 10 15 20 25 30 35 40 45
Percent
Probabilityofparticipation formostdisadvantagedgroup
Totalw
elfare
spen
ding(%
ofG
DP)
Percent
Coordinating tools: Impact of public education spending depends on openness of FE
Higher public education spending does not automatically translate into opportunities for adults, particularly disadvantaged adults
AustraliaAustria Canada
Chile
Czech Republic
Denmark
Estonia
Finland
France
Germany
Ireland
Israel
ItalyJapan
Korea
Netherlands
New Zealand
Norway
Poland
Slovak Republic
Slovenia
Spain
Sweden
Turkey
United StatesLithuania
R² = 0.43914
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
7.0
7.5
8.0
0 2 4 6 8 10 12 14 16
Percent
Probabilityofparticipation inFormalAE
Publicsp
endingoned
ucation(%
ofG
DP)
Percent
Higher public spendingLower openness of FE
Lower public spendingHigher openness of FE
Correlation = 0.66
Coordinating tools: Impact of ALMPs contingent on provision structures that cater to disadvantaged adults
Not all ALMPs appear to be effective at reaching disadvantaged adults
DK
FI
NO
DE
NL
UK
US
KOJA
SE
AT
BE IR
CZ
ET
PO
SV
FR
IT
ES
Average
R² = 0.2259
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
10 15 20 25 30 35 40 45 50 55 60
Percent
Probabilityofparticipation ofadultswithlowestlevelsofeducation
Publicsp
endingonactiv
elabo
urmarketp
olicies(%ofG
DP)
Percent
Correlation = 0.48
Higher ALMP spendingLower openness of FELower targeting
Lower ALMP spendingHigher openness of FEHigher targeting
Coordinating tools: Targeting of low skilled increased since 1990s
14
11
11
13
27
24
22
35
29
38
38
16
23
33
39
41
43
47
48
48
49
52
50 40 30 20 10 0 10 20 30 40 50 60
Italy
Poland
Belgium
Ireland
United Kingdom
United States
Netherlands
Finland
Norway
Sweden
Denmark
Percent
Participation rate of adult scoring at Level 2 or below in
IALS 1994-1998
Participation rate of adult scoring at Level 2 or below in PIAAC 2012
Coordinating tools: Fostering skilled work boosts access to learning
Proportion of high skill jobs strongly related to openness of FE
DK
FI
NO
DE
NL
UK
US
KO
SE
AT
IRCZ
ET
PO
FR
IT
ES
Average
R² = 0.31706
20
25
30
35
40
45
10 15 20 25 30 35 40 45
Percent
Proportionofqualificationsattained viaformalAE
Prop
ortio
nofsk
illed
occup
ations
Percent
Correlation = 0.56
Some implications for improving the coordination of adult learning systems
§ Support broad economic and social policies thatFoster demand - Good for citizens’ perception of opportunity structureHelp families and workers overcome situational barriers (e.g. family assistance)Maintain affordability (welfare spending related to activation more effective)Sustain governance and provision structures (public education spending in connection with a vibrant and flexible provision more effective)
Some implications for improving the coordination of adult learning systems
§ Foster broad stakeholder coordination that helps toShare information not so easily shared via the market mechanism and thus compensate for market failures related to information assymmetriesIdentity local and more specific individualised needsPool risks associated with uncertainty surrounding investment in adult learningValidate all kinds of learning and integrate opportunties with qualification systemsDevelop common language to enhance coherence in governance of ALS
§ Design specific policies that target socially disadvantaged adults
§ Promote adaptation of formal and non-formal provision that isOpen, flexible, customized, and linkable to qualification systems
Summary and measurement of adult learning systems
Summary of key findings§ Majority of AE is… employer supported, job-related, non-formal
Employers supporting FE leading to qualifications at high rate in 10+ countries
§ Flow rates of employer supported AE/year …Large variation across countries
at or near 50% in 6 countries (most advanced ALS, progressive social policy)Between 40-50% in 5 countriesBetween 30-40% in 12 countriesBetween 20-30% in 7 countriesBelow 20% in 4 countries
§ FE systems open to adult studentsLarge variation across countriesBoosts qualificationsLinked to observed boost in employment for those adults and overallLinked to observed boost in earnings for those adultsLinked to active aging and learning in late career/life
§ ALS are growing fastEmployer supported AE growing faster than overall AECountries with adult learning opportunities linked to qualifications expected to experience large boost in qualifications via AE
§ Major differences across countries confirm existence of sharp differences……In extent ALS are well developed and coordinated across advanced industrial nationsMay signify key source of variation explaining economic success & other outcomes
Measuring adult learning systems§ Some data on link between NFE activity and FE qualifications
NFE activity increasingly the norm in many countriesNeed more detail for policy relevant analysis
§ Better data on past AE activity that led to qualificationsLargely ignored in prior studies and in PIAACAt the moment, this is based on the age at which the highest qualification was attained
§ Better data on motivations and sources of support Government support completely ignored in PIAACMotivations are multi-dimensional, overlap (non-job related important)No data on whether AE was for basic skills programme in PIAAC
§ Better data on barriersInadequate data on barriers given state of art on topicInadequate link to social policy instruments designed to mitigate inequalityNo data on why adults do not to participate (cost, time, available supply à relevant)
§ System level featuresStudy and define ALS system level features to collect dataCan improve policy relevant analyses and policy learning in an international context