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Data analytics as key to student success

13 August 2018 Photo Anja Aucamp

Knowing how to help students succeed through higher education is one of the most pressing challenges currently confronting the system. Despite a significant change in the student population over the past few decades, we are only now beginning to understand who our students are and what their needs are. This crucial information forms the foundation of how institutions could help students succeed. Through two national-level projects funded by the Kresge Foundation, the University of the Free State (UFS) is contributing to the understanding of students and the development of data analytics.

Siyaphumelela

The first project’s goal is to improve the institutional capacity of five higher education institutions to develop institutional research, with a specific focus on data analytics. The UFS was selected to be part of the Siyaphumelela Programme (meaning ‘we succeed’ in isiXhosa) that is sponsored by the Kresge Foundation, and supported by the NGO, the South African Institute for Distance Education (Saide). The project has enabled the UFS to strengthen capacity, collaboration, and to promote a culture of evidence.

The project has also enabled the UFS to move from data reporting to a more analytical approach. This approach has enabled it to assess the impact of larger student success efforts and continuously improve the quality of these efforts. A focus on data analytics has helped the institution to reflect on its infrastructure and data management procedures. The development of dashboards has also allowed information to be shared with faculties. The UFS therefore sees a data analytical focus as critical to improving its effectiveness and efficiency.

The UFS is also playing a leading role nationally to develop academic advising that helps students align their studies, career, and life goals. Academic advising at the UFS includes the first-year experience module UFS101, online advising portals, and individual consulting sessions for students which focus on curriculum planning and success coaching. We have also proved a significant relationship between academic advice, student engagement and success.(Read Creating pathways for student success and Understanding students: A key to systemic success).

Student engagement

The second national project is focused on student engagement and has been run by the Centre for Teaching and Learning at the UFS for 10 years. To date, 20 universities have participated in at least one survey and the project also plays an important role in supporting the Siyaphumelela project goals.

Engagement data has helped us to better align teaching and learning, and design environments that put student success and quality at the centre of institutional thinking.

The culmination of findings from student engagement data in 2017 led to the publication of the book: Engaging students: Using evidence to promote student success, edited by Prof Francois Strydom, George Kuh, and Dr Sonja Loots, with contributions from various international and national experts in the higher education environment. This is the first comprehensive publication contextualising student engagement findings in the South African context for the benefit of advancing student success.

Both these projects are contributing to significant developments in the field of higher education and arguably more importantly, to help students succeed.

News Archive

Death may come in adorable little packages

2015-03-23

The main host of the Lassa virus is the Natal Mulimammate mouse.

Photo: Supplied

Postdoctoral researcher, Abdon Atangana, of the Institute for Groundwater Studies at the university recently published an article online about the Lassa Haemorrhagic fever in the Natural Computing Applications Forum. In addition to the terminal transmissible sickness recognised as Ebola haemorrhagic fever, there is another strain called Lassa haemorrhagic fever.

The disease is classified under the arenaviridae virus family. The first outbreaks of the disease were observed in Nigeria, Liberia, Sierra Leone, and the Central African Republic. However, it was first described in 1969 in the town of Lassa, in Borno State, Nigeria.

The main host of the Lassa virus is the Natal Mulimammate mouse, an animal indigenous to most of Sub-Saharan Africa. The contamination in humans characteristically takes place through exposure to animal excrement through the respiratory or gastrointestinal tracts.

Mouthfuls of air containing tiny particle of infective material are understood to be the most noteworthy way of exposure. It is also possible to acquire the infection through broken skin or mucous membranes that are directly exposed to the infective material.

“The aim of my research was to propose a novel mathematical equation used to describe the spread of the illness amongst pregnant women in West Africa. To achieve this, I used my newly-proposed derivative with fractional order called beta-derivative. Since none of the commonly used integral transform could be used to derive the solution of the proposed model, I proposed a new integral transform called Atangana-Transform, and used it, together with some iterative technique, to derive the solution of the model.

“My numerical simulations show that the disease is as deadly amongst pregnant women as Ebola,” Abdon said.

Abdon’s research was submitted to one of Springer’s top-tier journals with an impact factor 1.78. The paper was accepted and published February 2015.