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Managing "at risk" students and pass rates with SPSS


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Both the Tertiary Education Commission and the Ministry of Education are now moving fast to lower ITP funding for courses with low pass rates. It is imperative that academics understand student progression towards individual outcomes and pass rates of courses. Pro-active management with powerful tools for improved student outcomes will be very advantageous in future. Following work by McCarthy (2005) and Scott (2005) on student retention, completion and progression, Potgieter, Ferguson and Roberton reported during 2009 on several experiences regarding student outcomes. The authors have since developed and now demonstrate a sophisticated tool for general use by proactive programme managers, specifically a statistical model to predict success of the pass/fail categories for IT students. This paper provides opportunities for further study and reference for reflective practice by programme Managers at ITPs.

Item Type: Book Chapter
Additional Information: Conference held 6-9 July, 2010, in Dunedin, New Zealand
Uncontrolled Keywords: Completions, Pass rates, SPSS, At risk students
Subjects: H Social Sciences > HA Statistics
L Education > L Education (General)
L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > Q Science (General)
Divisions: Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
Depositing User: Christo Potgieter
Date Deposited: 04 Oct 2010 22:19
Last Modified: 21 Jul 2023 02:27

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