INSTITUTIONAL TYPES IN HIGHER EDUCATION IN SOUTH AFRICAIan Bunting and Nico CloeteFebruary 2010
SECTION A: Introduction
1. SA higher education policy framework has three institutional types:(a) Universities: offer basic formative degrees such as BA & BSc, and professional
undergraduate degrees such as BSc Eng and MBChB.; at postgraduate level offer honours degrees, and range of masters and doctoral degrees.
(b) Universities of technology: offer mainly vocational or career-focused undergraduate diplomas, and BTech which serves as a capping qualification for diploma graduates. Offers limited number of masters and doctoral programmes.
(c) Comprehensive universities: offer programmes typical of university as well as programmes typical of university of technology.
2. SA has in 2010:11 universities, 6 universities of technology, 6 comprehensive universities
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SECTION A: Introduction
3. If size of head count enrolment in 2008 is used as further indicator of type, the SA system breaks down into these subgroups:(a) Large universities (enrolments of 30 000 and above): UP, NWU, UKZN(b) Medium universities (enrolments of 20 000–29 999): UFS, Wits, UCT, SU, (c) Small universities (enrolments below 20 000): UL, UWC, UFH, RU
(d) Large UoTs (enrolments of 30 000 and above): TUT(e) Medium UoTs (enrolments of 20 000–29 999): CPUT, DUT(f) Small UoTs (enrolments below 20 000): VUT, CUT, MUT
(g) Large comprehensives (enrolments of 30 000 and above): Unisa, UJ(h) Medium comprehensives (enrolments of 20 000–29 999): WSU, NMMU(i) Small comprehensives (enrolments below 20 000): Univen, UZ
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Subgroups (a)–(f) above can clearly not be taken to be institutional types for the purposes of policy analyses. Different method should be used for determining institutional types within SA higher education.
SECTION B: Types and institutional indicators
5. Proposal is that descriptive and performance indicators be used to determine institutional types in SA’s HE system. (See Table 1)
6. Points to note about the input indicators in Table 1:(a) Columns B and C are reflections both of student choice and of
programme and qualification mixes (PQMs) within which universities are permitted to operate.
(b) Column D reflects the capacity of academic staff to conduct and supervise research.
(c) Columns E and F are indicators of resources available to universities.(d) Column G reflects the external reputation of a university, of its ability
to deliver research contracts and of its financial well-being.
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TABLE 1: Input indicators
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AVERAGES FOR 2006–2008 2008 INCOMEA
2008 heads (thousands)
B% SET majors
C% masters and
doctors students in head count
D% academic
staff with doctorates
EFTE students:academic staff
FSubsidy and fees per FTE student
(R’000)
GPrivate as % of total income
LARGE CONTACTUP 53 37% 15% 40% 17 56 37%TUT 52 34% 3% 10% 31 37 17%NWU 47 21% 9% 42% 29 34 36%UJ 44 30% 5% 21% 17 42 24%UKZN 37 31% 13% 33% 19 56 37%MEDIUM CONTACTCPUT 29 48% 2% 10% 29 41 19%UFS 26 28% 13% 49% 17 47 31%WITS 26 49% 22% 41% 13 75 54%WSU 25 27% 1% 6% 29 22 5%SU 24 39% 22% 47% 13 67 48%NMMU 23 29% 7% 31% 27 61 30%UCT 22 41% 19% 43% 12 88 40%DUT 22 49% 1% 5% 29 42 14%SMALL CONTACTUL 17 44% 12% 15% 14 55 22%VUT 17 41% 1% 5% 32 33 13%UWC 15 29% 11% 41% 19 54 33%Univen 11 26% 4% 33% 30 70 16%CUT 11 43% 3% 18% 29 44 12%UZ 10 26% 5% 35% 35 33 39%UFH 9 16% 5% 14% 21 44 35%MUT 9 57% 0% 4% 46 37 4%RU 6 22% 13% 48% 18 80 30%
Input indicator weightings
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7. The indicators in columns B to G of Table 1 can be given weightings, in order to begin to sort the 22 contact universities into distinct groupings.
% SET ENROLMENTS 40% and above 30%-39% Below 30%
Weighting 3 2 1% MASTERS AND DOCTORATE ENROLMENTS 10% and above 5% - 9% Below 5%
Weighting 3 2 1% ACADEMICS WITH DOCTORATES 35% and above 20% - 34% Below 20%
Weighting 3 2 1FTE STUDENT: FTE ACADEMIC RATIO 20 and below 21 - 29 30 and above
Weighting 3 2 1
GOVERNMENT FUNDS AND FEES PER FTE STUDENT (R’000)
60 and above 40 - 50 Below 40
Weighting 3 2 1% PRIVATE INCOME 35% and above 20% - 34 Below 20%
Weighting 3 2 1
Table 2
8. Weightings applied to the input Indicators in Table 1, the following 3 clusters of universities appear:
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WITS
UCT SU UPUKZN RU
UFSUW
C UJ ULVUT
NWU
NMMU UZUFH
CPUTDUT
Univen
CUTMUT
TUTW
SU
18 1817
1615 15
14 1413 13 13
12 1211 11
10 10 109
87 7
6 universities 9 universities 7 universities
8. Graph A: Institutional groupings based on input indicators
Input indicator groupings
9. Group 1 institutions (6): Wits, UCT, SU, UP, UKZN, RU
a) All 6 are, in terms of the types in paragraph 1, universities: 2 large, 3 medium and 1 small.
b) Their average input indicator score (where maximum is 3) = 2.75
c) Their approved programme mix allows them to enrol students with heavy subsidy weightings. Because they enrol large-proportions of fee-paying students, subsidy funds + fees available per FTE student are high, and FTE student to FTE academic staff ratios are low.
d) Are able to deliver good teaching/learning services, so reputations are good and attractive to quality students.
e) Master and doctors proportions are above averages for HE system, and reflect high levels of research activity. This, plus teaching/learning reputation, results in institutions in this group being able to attract substantial % of private income.
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Input indicator groupings
10. Group 2 institutions (7): CPUT, DUT, Univen, CUT, MUT, TUT, WSU
(a) Group consists of : 4 universities of technology (UoT), 3 comprehensive universities. By size, the composition is : 1 large, 3 medium, 3 small.
(b) Average input indicator score (where maximum is 3) = 1.70
(c) Approved programme mix limits qualifications and fields in which they operate. Have large % of 3-year undergraduate degree and undergraduate diplomas students. Proportions of postgraduate students are low. High % of students need financial aid. Consequence is that subsidy funds + fees available per FTE student are low compared to input group 1, and FTE student to FTE academic staff ratios are high.
(d) Institutions are not able to attract levels of private funding comparable to group 1.
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Input indicator groupings
11. Group 3 institutions (9): UFS, UWC, UJ, UL, VUT, NWU, NMMU, UZ, UFH
(a) Group consists of: 5 universities, 3 comprehensives and 1 UoT. By size, the composition is: 2 large, 2 medium, 5 small.
(b) Average input indicator score (where maximum is 3) = 2.1
(c) In terms of approved qualification mix, this is a heterogeneous group, that falls in between input groups 1 and 3.
Output indicators
12. A set of performance-based indicators can also be used to divide institutions into specific groupings. These indicators are set out in Table 3.
13. Points to note about the output indicators in Table 3:(a) Column A contains gives the average success rate for all courses in
a university. (b) Column B is the standard graduate/head count ratio, with 1-year and
2-year undergraduate diplomas being excluded.(c) Column C is the standard ratio of weighted research outputs per
permanent academic (doctoral graduates = 3, research masters = 1, research publications = 1).
(d) Column D includes only doctoral graduates, as a reflection of need for universities to produce new academics and new researchers.
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TABLE 3: Output indicators
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AVERAGES FOR 2006–2008
A Success rates
BGraduation rates
CResearch output
per academic
DDoctoral graduates
per academicLARGE CONTACTUP 81% 22% 1.37 0.10TUT 67% 19% 0.27 0.02NWU 78% 23% 1.12 0.12UJ 75% 21% 0.95 0.08UKZN 74% 22% 1.04 0.08MEDIUM CONTACTCPUT 76% 24% 0.17 0.01UFS 70% 21% 0.95 0.09WITS 79% 22% 1.13 0.11WSU 69% 16% 0.07 0.00SU 78% 26% 2.14 0.15NMMU 73% 19% 0.96 0.07UCT 83% 26% 1.77 0.16DUT 76% 21% 0.21 0.01SMALL CONTACTUL 78% 19% 0.37 0.01VUT 69% 19% 0.11 0.00UWC 77% 19% 0.82 0.07Univen 75% 18% 0.23 0.01CUT 72% 23% 0.87 0.03UZ 70% 20% 0.75 0.09UFH 70% 17% 0.44 0.03MUT 78% 14% 0.04 0.00RU 86% 29% 1.48 0.13
TABLE 4: Output indicator weightings
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14. The indicators in Table 3 can be given weightings,
in order perform a further sort on the 22 contact universities.
SUCCESS RATES 80% and above 75% - 79% Below 74%
Weighting 3 2 1GRADUATION RATES
22% and above 18% - 21% Below 18%
Weighting 3 2 1RESEARCH OUTPUT PER ACADEMIC 1.2 and above 0.50 - 1.19% Below 0.50
Weighting 3 2 1DOCTORAL GRADUATES PER ACADEMIC 0.10 and above 0.05 - 0.09 Below 0.50
Weighting 3 2 1
Table 4
Output indicator groupings
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6 universities 5 universities 11 universities
15. Graph B: Institutional groupings based on output indicators
UPUCT RU SU
NWUW
ITS UJ
UKZN
NMMUUW
CUFS
DUT UZ ULCPUT
CUT
Univen
MUTTUT
VUTUFH
WSU
12 12 1211
10 10
8 87 7 7
6 6 6 6 6 65 5 5
4 4
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Output indicator groupings
16. Group 1 institutions (6): UP, UCT, RU, SA, NWU, Wits
(a) Average output indicator score for group 1 (maximum 3) = 2.83(b) NWU moved from input group 2 to output group 1, and UKZN
moved from input group 1 to output group 2.
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Output indicator groupings
17. Group 2 institutions (5): UJ, UKZN, NMMU, UWC, UFS
a) A Three are universities and 2 comprehensives. b) Average output indicator score for group 2 (maximum 3) = 2.0c) Four institutions moved from input group 2 to output group 3:
UZ, UL, Univen, UFH.
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Output indicator groupings
18. Group 3 institutions (11): DUT, UZ, UL, CPUT, CUT, Univen, MUT, TUT,
VUT, UFH, WSU
(a) Group consists of 6 universities of technology, 3 comprehensives and 2 universities.
(b) No institutions in input group 3 moved to output group 2.(c) Average output indicator score for group (maximum 3) = 1.27
6 universities 6 universities 10 universities
19. Graph C: Institutional Groupings based on combined input & output indicators
UCT UPW
ITS SU RUUKZN
NWU
UWC UJ
UFS
NMMU UL UZCPUT
Univen
DUTCUT
UFHMUT
TUTVUT
WSU
3028 28 28
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2322
21 21 2119 19
17 1716 16 16
15 15
1211 11
Combined input and output indicators (continued)
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20. Combined input + output group X consists of 6 universities: UCT, UP, Wits, SU, RU, UKZN. Average combined indicator score for group X (maximum 3) =
2.72
21. Combined input + output group Y consists of 4 universities & 2 comprehensives: NWU, UWC, UJ, UFS, NMMU, UL. Average combined indicator score for group X (maximum 3) = 2.05
22.Combined input + output group Z consists of 1 university, 3 comprehensives, 6 UoT: UFH, Univen, UZ, WSU, CPUT, DUT, CUT, MUT, TUT, VUT.
Average combined indicator score for group X (maximum 3) = 1.46
Graphs which follow demonstrate functions of the three combined groupings in terms of graduate and research outputs for 2008.
Graph: 2008 undergraduate qualifiers by grouping
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Group X: UCT, UP, WITS, SU, RU,
UKZNGroup Y: NWU, UWC, UJ, UFS, NMMU, UL,
Group Z: UZ, CPUT, Univen, DUT, CUT, UFH, MUT, TUT, VUT
WSU
23. 2008 undergraduate qualifiers by grouping
GROUP X GROUP Y GROUP Z UNISA0%
10%
20%
30%
40%
50%
60%
70%
80%
23%
40%
17%21%
0%
17%
73%
10%
41%
34%
10%15%
30%
24%
37%
9%
U/grad dips: 1-year & 2-years
U/grad dips: 3-years
3-year u/grad degrees
4-6 year u/grad degrees
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Graph: 2008 postgraduate qualifiers & research publications
Group X: UCT, UP, WITS, SU, RU,
UKZNGroup Y: NWU, UWC, UJ, UFS, NMMU, UL
Group Z: UZ, CPUT, Univen, DUT, CUT, UFH, MUT, TUT, VUT,
WSU
24. 2008 postgraduate qualifiers & research publications
GROUP X GROUP Y GROUP Z UNISA0%
10%
20%
30%
40%
50%
60%
70%
41%
33%
8%
17%
60%
28%
6% 6%
61%
28%
5% 6%
62%
21%
6%
11%
P/grad below mastersMastersDoctorsRes public units
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Group X: UCT, UP, WITS, SU, RU,
UKZNGroup Y: NWU, UWC, UJ, UFS, NMMU, UL
Group Z: UZ, CPUT, Univen, DUT, CUT, UFH, MUT, TUT, VUT,
WSU
25. 2008 African & Coloured undergraduate qualifiers by groupings
GROUP X GROUP Y GROUP Z UNISA0%
10%
20%
30%
40%
50%
60%
70%
80%
24%
38%
17%21%
0%
17%
73%
10%
29%
39%
20%
12%16%
24%
51%
8%
U/grad dips: 1-year & 2-years U/grad dips: 3-years3-year u/grad degrees4-6 year u/grad degrees
Group X: UCT, UP, WITS, SU, RU,
UKZNGroup Y: NWU, UWC, UJ, UFS, NMMU, UL
Group Z: UZ, CPUT, Univen, DUT, CUT, UFH, MUT, TUT, VUT,
WSU
26. 2008 African & Coloured postgraduate qualifiers by groupings
GROUP X GROUP Y GROUP Z UNISA0%
10%
20%
30%
40%
50%
60%
18%
28%
45%
9%
53%
32%
9%6%
57%
29%
9%5%
P/grad below mastersMastersDoctors
SECTION C: Summing up
1. Main aim of presentation was to explore question of whether available data on indicators can be used to identify distinct institutional types in the HE system in SA. Argument has been that contact institutions fall into three types, determined by policy-driven decisions on programme mixes and government funding, as well as by institutional performance in teaching/learning and research, and by the reputation developed by the institution.
2. The bases of the three types identified are the quantitative indicators selected, and the weightings assigned to each indicator. A question which must arise is whether the use of only quantitative indicators is acceptable, and if so, whether the division of the each indicator score into one of three weighting categories is acceptable.
3. A final major issue is this: can institutional types derived in this way be used to establish a formal differentiated system in SA?
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