2009 October/November Exam Results Analysis Presented at STLSC 15 February 2010 Professor George Subotzky Executive Director: Information & Strategic Analysis
Jan 09, 2016
2009 October/November Exam Results Analysis
Presented at STLSC
15 February 2010Professor George Subotzky
Executive Director: Information & Strategic Analysis
Acknowledgements
The following staff members of DISA provided valuable help and support in preparing the examination results information and this presentation:
– Herbert Zemann– Hanlie Liebenberg– Yuraisha Chetty– Esme Wiid– Herman Visser– Elsabe Scheepers– Refiloe Sefadi
Introduction• As part of its “calendarised” reporting outputs, DISA
has been considering the optimal way of reporting various institutional processes, including exam results
• After consulting with relevant stakeholders, we propose that the exam results are reported in three distinct views, namely:– The Exam Sitting view– The Course Success view– The Degree Credit Success view (see below)
• This update presents the latest available exam results for the 2009 October/November sitting, compared to the equivalent results for the years 2005-8
Exam Results Views
•Exam Pass RatePassed/Wrote (for a particular sitting)
•Purpose: Review of assessment validity
•Includes: Students across academic years
•Highest rate: Average 2005-8 = 56,1%
Exam Sitting View
•Course Success RatePassed/Nett Enrolments
•Purpose: Retention/Attrition tracking – includes cancellations and non-activity
•Includes: Single academic year only
•Middle rate: Average 2005-8 = 54,8%
Course Success View
•Degree Credit Success RateWeighted FTEs/Nett Enrolments
•Purpose: Subsidy income & statutory reporting
•Includes: Single academic year only
•Lowest rate: Average 2005-8 = 53,3%
Degree Credit Success View
Sitting Details Report
May/June S1 Exams (current year) August
October/November
S2 Exams (current year)Y Exams (current year)S1 Supplementary Exams(current year)
January Y Supplementary Exams(previous year)
MarchJanuary/February
Coursework PG Exams(previous year)
May/June S2 Supplementary Exams(previous year)
August
Exam Sitting Schedule – for each academic year
This report: 2009 October/November
sitting view
SupplementaryExamPhase
Gross Enrolments
Admitted
CNon-Active
Nett Enrolments
CAbsentWrote
Results Out.
FailSupplementary Exam AdmittedPass
CSupp
AbsentSuppWrote
SRO
SFSPDrop Out
Re-registration(Repeaters+
Stopouts)
Re-instatement
CNotAdmitted
Attrition
SupplementaryExamResults Phase
ExamAdmissionPhase
ExamWriting Phase
ExamResultPhase
Examination Results Model
Total Oct/NovExam Pass Rate to date,
2005-9
2005 2006 2007 2008 2009
Exam Pass Rate
0.518423697768
003
0.516636367611
873
0.543065561834
758
0.555783462977
119
0.557483507962
026
5%
15%
25%
35%
45%
55%
Oct/Nov Exam Pass Rate to date by College, 2005-9
CAES CEMS CHS CLAW CSET UNISA
2005 0.5328219071664
41
0.4543877918239
54
0.6444382400961
41
0.4859051375289
25
0.4903506907545
18
0.5184419195987
65
2006 0.4514448804851
94
0.4274203100380
11
0.7049782292405
03
0.4952689514411
12
0.3911866242469
38
0.5166363676118
73
2007 0.5104216578821
28
0.4615133273849
18
0.7108720418787
77
0.5263209515487
63
0.4440094683175
54
0.5430655618347
59
2008 0.5296318172868
7
0.4511843954612
47
0.7226049035759
29
0.5526722359449
74
0.4800741679959
66
0.5557834629771
19
2009 0.4947395432383
88
0.4771048869175
62
0.7191842528139
68
0.4868580415408
82
0.4653655576903
63
0.5574848568065
44
5%
25%
45%
65%
Oct/Nov Exam Pass Rate to date by Race, 2005-9
African Coloured Indian White UNISA
2005 0.459097887725033
0.525513051026102
0.517046706789862
0.639753494395574
0.518423697768003
2006 0.453514886610447
0.523101231339218
0.518981625661788
0.651383320203647
0.516636367611873
2007 0.490269780638049
0.554051363726857
0.556563533520848
0.670203813432322
0.543065561834759
2008 0.504668539477386
0.581253440998347
0.581747550129248
0.688067952907471
0.555783462977119
2009 0.516988731148918
0.576467420570813
0.57455546207703
0.671268777071238
0.557483507962026
5%
25%
45%
65%
Oct/Nov Exam Pass Rate to date by Gender, 2005-9
2005 2006 2007 2008 2009
Female 0.5412828359716
01
0.5500620996740
45
0.5686334939890
43
0.5786246893123
45
0.5849173252686
56
Male 0.4888981632710
4
0.4712398995293
2
0.5070272871263
31
0.5209940551117
32
0.5137661310818
06
UNISA 0.5184236977680
03
0.5166363676118
73
0.5430655618347
59
0.5557834629771
19
0.5574835079620
26
5%
25%
45%
65%
Oct/Nov Exam Pass Rate to date by African, White
Students & Gender, 2005-9
A 2005
A 2006
A 2007
A 2008
A 2009
W 2005
W 2006
W 2007
W 2008
W 2009
F 0.47013926160278
0.47412650340109
7
0.50270184550121
9
0.51603913295678
1
0.53590534542120
3
0.67963578903168
1
0.70424067052484
7
0.71781958941570
7
0.73409440738840
7
0.71967703633341
6
M 0.44571714170301
0.42730684055118
1
0.47380524840122
2
0.48799289030829
3
0.48716807382306
3
0.58527787001539
5
0.57557457282692
7
0.59919586444572
1
0.61585786568537
4
0.59669890695190
3
5%
25%
45%
65%
Oct/Nov Exam Pass Rateto date by Degree Level,
2005-9
2005 2006 2007 2008 2009
Post-gradu-ate
0.65643383876046
1
0.60459832088115
2
0.54548966582962
9
0.50974953312095
0.55144367629117
8
Under-gradu-ate
0.51233269948072
9
0.51291839080085
4
0.54295643705263
5
0.55795084118747
7
0.55776560477938
UNISA 0.51842369776800
3
0.51663636761187
3
0.54306556183475
9
0.55578346297711
9
0.55748350796202
6
5%
25%
45%
65%
Key Findings• 2009 Oct/Nov EPR slightly up (from 55,58% in 2008 to
55,75%), reflecting a moderate upward trend since 2005
• Despite this increase, Unisa should target at least a 60% average EPR. This would allow us to achieve and supercede the Ministerial target of 56% which applies to the Degree Credit Success Rate
• Amongst the Colleges, CLAW dropped by 6,58%, CAES by 3,49% and CHS by 0,34%. However, CHS remained dominant with a 71,92% EPR. CEMS increased by 2,83%
• Africans showed an increase of 1,23% to 51,70%, with all other race groups showing slight decreases. However, Whites were still dominant with a 67,13% EPR in 2009
Key Findings
• Female students remained dominant with a 58,49% EPR in 2009, thus showing a steady increase each year from 54,13% in 2005. Males showed a slight decline of 1,92% between 2008 and 2009
• Significantly, African and white females showed increases, while a significant gap between white male and white female achievement was evident. The reasons for this should be investigated
• The apparent decline in PG should be also investigated
• Attrition and failure will be systematically addressed as part of retention and success initiative