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

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) 117 586

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

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 117 586 63%

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

Are there differences between programmes in contributing to skills development?

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

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

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

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

Transition to the labour market

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

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%)

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

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.