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Siyaphumelela 3rd Conference 2017

The 3rd Siyaphumelela conference returns to its province of origin where it will be hosted at the Wanderers club in Johannesburg, in June this year. Similar to its predecessor’s offering, the conference will provide a platform for experts from the international community as well as key role players in the field of data analytics in higher education, to engage in conversations around evidence-based practices aimed at student success. 

The 2017 conference serves to coalesce the findings of various institutional developments, notably that of its five partner institutions in the Siyaphumelela programme, and distil key systemic interventions, for national adoption,  aimed at promoting student  success.

The theme of this years conference embodies the notion of pro-active responsiveness of institutions, demonstrating the programmes recognition of and commitment to ‘student-centric’ institutional measures as an essential feature for realising student success.

SALDRU Vacancies: National Incomes Dynamics Study.

The South African Labour Research Development Study(SALDRU), based at UCT, is recruiting for two new roles in the National Income Dynamics Study.

Positions available are as follows with the linked job descriptions:

Umalusi Call for Research Collaboration

Umalusi, the quality assurance body of education provision, invites researchers to collaborate in a study involving all South African public universities and which is aimed at evaluating the ability of the NSC results to act as predictors of academic success at education institutions.

Closing date for applications is on the 28th April 2017.

Seeing Students as People in the World

As part of the Kresge Foundation (Siyaphumelela) project, the Wits University introduced a comprehensive Biographical Questionnaire on students' school and personal backgrounds, to enhance the understanding of how a student's socio-economic background would influence his/her chances of success at university level. This questionnaire collects comprehensive data on a number of variables in relation to student background including: home location; form of dwelling space; learning-enabling facilities at home and at the high school where the student matriculated; and various details of home-background information (i.
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