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Explore the methods and models for counting and analyzing student trends at Unisa for stakeholders' consultations and annual analyses in 2010. Learn about different counts and applications for better understanding student data.
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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 • Hanlie Liebenberg • Lerato Tladi • Yuraisha Chetty • Esme Wiid • Herbert Zemann • Pamela Pistorius
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
Models for Counting & Analysing Student Trends • Applications • Enrolments • Assessment: Active Students & Exam Results • Graduations
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
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
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
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
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
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)
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