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17 November 2005

Factsheet 2 : Supply of educators

Sue
Press Release

Key findings: There has been a decline in students taking the Initial Professional Education of Teachers (IPET) qualifications indicating an estimate of 9 000 graduates of whom at least about 3 000 may already be practising educators in 2004. Sources other than newly qualified educators could enter the teaching profession, including educators on leave and unemployed or temporary educators. Trends from labour force surveys show that the number of those unemployed who are qualified in education has declined significantly. In other words, the educator pool is decreasing and therefore the employment of educators depends more on the availability of newly qualified educators.

Results

There has been a decline in students taking the Initial Professional Education of Teachers (IPET) qualifications, namely the undergraduate Bachelor of Education (BEd) and the Postgraduate Certificate in Education (PGCE). Self-reported data from the Deans’ Forum in 2004 indicated that education institutions are producing at best approximately 9 000 graduates of whom at least about 3 000 may already be practising educators.

The majority of students who are currently studying initial professional teacher education programmes (IPET) are studying through distance education at Unisa. This is in terms of self-reported data to the Deans’ Forum (2004). The profile of these students in terms of race and status of employment is important. The majority of these students are white female education graduates and probably many of these are already practising educators (see Table 1).

Table 1: Pre-service teacher education and postgraduate certificate in education (PGCE) (degree count as on 04 June 2004), University of South Africa (Unisa)

B.ED (undergraduate)     Postgraduate Certificate in Education (PGCE)
Provinces B.ED (ECD: Foundation Phase) B.ED (INT and Senior Phase) B.ED (Senior and FET Phases PGCE (INT and Senior Phase) PGCE (Foundation Phase and ECD) PGCE (Pre-primary)
Foreign 124 69 57 31 27 0
Eastern Cape 71 41 35 14 10 2
Free State 49 26 14 9 7 1
Gauteng 524 286 185 99 94 3
KwaZulu-Natal 409 295 247 71 39 3
Limpopo 49 31 29 5 8 2
Mpumalanga 104 68 28 28 12 0
North West 47 31 16 5 7 0
Northern Cape 21 7 9 3 0 0
Western Cape 189 90 52 27 35 2
Total 1587 944 672 292 239 13
Races            
Asian 186 167 110 54 17 2
Black 220 212 225 43 18 2
Coloured 85 51 42 8 8 0
White 1096 514 295 187 196 9
Total 1587 944 672 292 239 13
Gender            
Female 1569 716 389 244 236 13
Male 18 228 283 48 3 0
Total 1587 944 672 292 239 13

Source: Ministerial Committee on Teacher Education (2005)

The decline in enrolment is significant among black Africans. Improved career opportunities for black applicants have not only reduced the number of applicants who enter the education sector, but have also had an impact on the supply of educators because even the small pool of education graduates may not necessarily end up teaching. They are likely to seek employment in other fields where their teaching skills are valued, such as in training-related careers or marketing.

It was also found that the older patterns of oversupply in urban schools and undersupply in rural schools have persisted and newly trained educators have difficulty in finding posts (even in rural schools).

It is difficult to assess what proportion of newly qualified educators enters the teaching profession. Some local tracer surveys conducted at different times suggest that a minority of educators actually do not enter the teaching profession. Based on the Educator School Survey, the student educator survey and local tracer studies, it appears that educators seem to have been trained sufficiently in key learning areas of mathematics, natural sciences and technology but may not always be teaching in these key areas. However, self-reported data on learning areas currently taught and trained in may be biased. We were not able to access more accurate data on qualifications of educators employed and needed.

Unqualified and underqualified educators

In 2000, 76 839 (22%) educators were considered unqualified or under-qualified, which is a decrease from 122 459 (36%) in 1994. In the 2004 School Educator Survey, the percentage of unqualified or under-qualified educators further declined to 8.3%; this was higher in primary (11.1%) than in secondary (2.8%) schools; higher in rural (9.0%) than in urban schools (7.5%); higher among coloured (13.8%) than white (2.2%) educators, and more than 10% in North West, Free State, Northern and Western Cape Provinces.

The pool of educators

Sources other than newly qualified educators could enter the teaching profession, including educators on leave and unemployed or temporary educators. Data from PERSAL, the government’s payroll system, show that the number of temporary or contract educators among employed educators has significantly declined over the past five years. Trends from labour force surveys show that the number of those unemployed who are qualified in education has declined significantly. PERSAL data show that the employment of older educators (35 years and above) has dropped from 56% in 1998/99 to 31% in 2002/03, indicating that fewer educators from an educator pool (returning to teaching) and more newly qualified educators (being less than 35 years) are being employed. In other words, the educator pool is decreasing and therefore the employment of educators depends more on the availability of newly qualified educators.

A Department of Education (DoE) survey showed a current figure of 11 000 unemployed educators, of which a significant number trained before the introduction of the Revised National Curriculum Statement (RNCS). These educators will have to attend training courses to acquaint them with the new curriculum.

Looking at international migration, there are more educators leaving the country than coming into South Africa since 1999. Overall, the net loss of educators increased to almost 1 800 in 2003 (see Figure 1). When looking at the internal mobility of educators, the Educator School Survey (Shisana et al. 2005) found that mobility and deployment to rural areas is associated with higher HIV prevalence.

Figure 1: Trend in estimated net migration of educators

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