1. Workplace Based Learning and transition to the labour market
Angelique Wildschut and Glenda Kruss
Presentation to Skills Conference
20 March 2017

2. Data Apprenticeship: Population data 2009/10 and 2014/15
Survey 2011/12
Learnership:
Internship:
SETA tracer studies:
Datasets
Year
Entered
Completed
Total system
Internships
2009/10
2678 (Cohort 1)
1152 (Cohort 2)
3 830
2014/15
11370 (Cohort 3)
3145 (Cohort 4)
14 515
Apprenticeships
9316 (Cohort 5)
3432 (Cohort 6)
12 748
21070 (Cohort 7)
10632 (Cohort 8)
31 702
Learnerships
43569 (Cohort 9)
28410 (Cohort 10)
71 979
77058 (Cohort 11)
40528 (Cohort 12)

3. Do the three forms of WPBL serve to include and skill a larger and more equitable proportion of the SA populace?

4. Substantial growth in WPBL programmes since 2009/10
Total system
2014/15
% age cha
Ent
Comp
Interns hip
2678
1152
3 830
11370
3145
14 515
278%
Appren ticeship
9316
3432
12 748
21070
10632
31 702
148%
Learner ship
43569
28410
71 979
77058
40528
63%

5. Higher proportions of black, mixed trends for age and women
WPBL program
Status
Race % black
Gender (F:M)
Age (mean age)
Year
09/10
14/15
Learnersh
Entered
85%
95%
1.00
0.8
28.19
29.99
Comp
87%
90%
0.96
1.02
29.83
30.90
Apprent
72%
86%
0.19
0.42
26.29
27.84
67%
78%
0.18
0.2
27.96
30.88
Interns
93%
97%
0.71
0.76
31.38
25.31
94.4%
94.6%
0.79
0.66
32.66
25.81

6. Are there differences between programmes in contributing to skills development?

7. Differences in provisioning in terms of SECTORAL,
Entry into different types of programmes by sector in 2014/15

8. GEOGRAPHICAL,
Geographic participation patterns for internship programmes entered in 2009/10 and 2014/15

9. LEVEL… NQF level of registered learnerships, 2009/10 – 2014/15
NQF level of registered internships, 2009/10 – 2014/15

10. and FIELD OF TRAINING
Main fields in which people enter internships in 2009/10 and 2014/15

11. Transition to the labour market

12. Do people who receive training, find jobs?
Table of cumulative transitions 1 2 3 4 5 6
Worked
1976 (79%)
1851 (74%)
1894 (75%)
1886 (75%)
1889 (75%)
1890 (75%)
Worked & Studied
92 (4%)
152 (6%)
136 (5%)
132 (5%)
131 (5%)
Unemployed
104 (4%)
105 (4%)
96 (4%)
97 (4%)
Studied
339 (14%)
403 (16%)
385 (15%)
396 (16%)
395 (16%)
394 (16%)
Total
2511

13. Do they stay in the jobs and is the training seen as having appropriately prepared them to function in that job?
Nature of employment after apprenticeship
Frequency
Percent of total sample
Valid Percent
Contract/Temporary
189
12.7
39.8
Permanent
266
17.9
56.0
Casual 20
1.3
4.2
Total
475
32.0
100
No response 48
3.2
Total employed
523
35.1
Perceptions on requirements for, and appropriateness of, employment
Yes No
Total
Did you require any certification for this job?
335 (70.2%)
142 (29.8%)
477* (100%)
Is your job related to your qualification?
424 (89.6%)
49 (10.4%)
473** (100%)

14. Does participation in these programmes shift patterns of social exclusion?
SES score disaggregated by race
Race
Mean
African
2.0760
Coloured
2.8107
Indian
3.4503
White
4.9573
Other
4.0770
SES mean score disaggregated by most common trajectories after apprenticeship
Trajectories
Mean N
Std. Deviation
S-A: Studied, entered apprenticeship
3.37
345
2.76
S-W-A: studied, worked, entered apprenticeship
2.59
333
2.31
W-A: Worked, entered apprenticeship
2.61
316
2.36
A: Apprenticeship straight after school
4.04 58
3.05
Total
2.93
1052
2.56

15. Is skills development happening in skill areas that are really in demand? And justified return on investment?
Answering this question requires information on the:
1) educational outcomes of a particular programme,
2) absolute labour market outcome of an individual,
3) the characteristic of the labour market outcome,
as well as 4) some external demand identification.
Essentially answering this question would have to rely on combining the insights from such a survey with another set of available and relevant variables on labour market demand.