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Counting and Analysing Student Trends at Unisa

Counting and Analysing Student Trends at Unisa. 10 December 2009 Prof George Subotzky Executive Director: Information & Strategic Analysis. Acknowledgements. The following staff members of DISA provided invaluable help and support in preparing the models : Herman Visser

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Counting and Analysing Student Trends at Unisa

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  1. Counting and Analysing Student Trends at Unisa 10 December 2009 Prof George Subotzky Executive Director: Information & Strategic Analysis

  2. Acknowledgements The following staff members of DISA provided invaluable help and support in preparing the models : • Herman Visser • Hanlie Liebenberg • Lerato Tladi • Yuraisha Chetty • Esme Wiid • Herbert Zemann • Pamela Pistorius

  3. Background and Context • Counting and analysing student trends at Unisa is not as straightforward as might be assumed • Accordingly, it is important to clarify: • The analytic needs of the various academic and support stakeholders • The appropriate business rules in each case • To this end, DISA has prepared models for counting and analysing student trends • These will be presented for stakeholder consultations early in 2010 so that the analyses can be conducted and disseminated as part of DISA’s annual calendarisedworkplan

  4. Models for Counting & Analysing Student Trends • Applications • Enrolments • Assessment: Active Students & Exam Results • Graduations

  5. Counting & Analysing Student Trends: 4 kinds of counts • Headcount: • Unduplicated count of each individual student –irrespective of how many qualifications or courses s/he is registered for • This is the basic count of the number of students • Qualification count: • Count of each individual students according to qualifications for which s/he is registered • This is useful and applicable for the colleges

  6. Counting & Analysing Student Trends: 4 kinds of counts • Course count: • Count of how many students registered for each course • This counts each student more than once according to how many courses s/he is registered for and is therefore higher than the HC • This is useful for the colleges, departments and operations • FTE: • This calculates each student’s course load as a ratio of a full-time load, thus indicating the extent of full-time study • Eg: A student taking 5 modules in a qualification in which 10 modules per year is regarded as full-time, s/he counts as ,5 FTE

  7. Counting Students Provisional Registration Non-formal • Provisional headcounts and coursecounts of registrations/enrolments from opening of registration in December on • Previous year’s figures are updated as a result of subsequent cancellations Formal Registered Temporary Cancellations Provisional HC, QC & CC Enrolments (“Registered”) Provisional CC Enr Cancelled + Non-Active HEMIS Official HEMIS submissions of headcounts & FTEs to DoE based on census days: 1st Submission (31 Oct): Preliminary 2nd Submission (30 Apr): Preliminary 3rd Submission (31 July): Final Audited Re-instatements HEMIS Active CC, FTE, TIU QC, HC DoHET Reporting & Subsidy

  8. Gross Enrolments C Non- Active Nett Enrolments C Not Admitted Admitted Wrote Absent C Re-registration (Repeaters+ Stopouts) Sup. Admitted Pass Results Out. Fail Re-instatement Attrition C SA SW Drop Out SF SP SRO

  9. Exam Results Metrics Key Counts 4 Key Indicators Exam Pass Rate = Passed/Wrote “Sitting View”: Purpose – review assessment tool Course Success Rate = Passed/NettEnrolments “Retention View”: Purpose – track success & retention Course Attrition Rate = (CA + NA + Abs)/Gross Enrolments “Attrition View”: Purpose – track attrition Degree Credit Success Rate = WFTEs/Nett Enrolments “Subsidy View”: Purpose – track subsidy income

  10. Spreadsheet Model

  11. Total Number Of Final Year Students Sitting For Exams Gross Graduands Confirmation of completion: Admitted Confirmation of Completion: Not admitted Confirmation of Completion: Postal(non-ceremony) Graduation Ceremony Attend Absent Non-Ceremony Nett Graduands Attend (Conferred) Postal (Absentia ) Postal (Non-Ceremony)

  12. Applications Model Gross Applications S1, Y1, Honours, Btech, Structured Masters S2 Research Masters and Doctoral Gross Applications Student No Issued Unsuccessful Nett Applications Student No Issued

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