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23 April 2020 | Story Prof Francis Petersen | Photo Sonia Small

The COVID-19 pandemic has created profound disruptions in our economy and society.  Due to the challenges of this pandemic, most universities have decided to move from face-to-face classes to online teaching (more accurately defined as emergency remote teaching and learning) so as to complete the 2020 academic year, and to prevent the spread of the virus.

Online learning vs emergency teaching and learning
Online learning is the result of careful instructional design and planning, using a systematic model for design and development.  With remote emergency teaching and learning, this careful design process is absent.  Careful planning for online learning includes not just identifying the content to be covered, but also how to support the type of interactions that are important to the learning process.  Planning, preparation, and development time for a fully online university course typically takes six to nine months before the course is delivered.

Emergency teaching and learning is a temporary shift of instructional delivery to an alternative delivery mode due to crisis conditions.  Hence, one cannot equate emergency remote teaching and learning with online learning, nor should one compare emergency remote teaching and learning with face-to-face teaching. What is crucial is the quality of the mode of delivery, and although assessment methodologies will differ between face-to-face teaching and remote teaching and learning, the quality of the learning outcomes should be comparable.

Funding to universities 
The financial model used in a South African (residential) university consists of three main income sources: (i) the state or government through a subsidy (the so-called ‘block grant’), (ii) tuition fees, and (iii) third-stream income (which is mainly a cost-recovery component from contract research, donations, and interest on university investments). The National Student Financial Aid Scheme (NSFAS) contributes to the tuition fees through a Department of Higher Education, Science and Innovation Bursary Scheme, providing fully subsidised free higher education and training for poor and working-class South Africans (recipients will typically be students from households with a combined income less than R350 k per annum).  

The negative impact of COVID-19 on the income drivers of the university can, and probably will, be severe.  Although the subsidy from the state or government can be ‘protected’ for a cycle of two to three years through the National Treasury, the pressure on income derived from tuition fees (that component which is not funded through NSFAS) will be increasing, as households would have been affected by the nationwide lockdown and with the economy in deep recession, a significant number of jobs would have been lost. The economic downturn, due to both COVID19 and a sovereign downgrade by all rating agencies, has already negatively impacted local financial markets as well as the global economy. The multiplier effect of this would be that the value of investments and endowments decreases (at the time of writing the JSE was still 20% down compared to the previous year), and philanthropic organisations and foundations will most probably reduce or even terminate ‘givings’ to universities.

Industry, private sector, and commerce will re-assess their funding to universities, whether for research or bursary support.  Overall, it is possible that the income sources for universities can be affected negatively in the short term, but it will definitely have longer-term implications on the financial sustainability of universities.  In this regard, it would be important for universities to perform scenario planning on the long-term impact of COVID-19 on the financial position of the university, and to adjust their strategic plans accordingly.

By Prof Francis Petersen is Rector and Vice-Chancellor of the University of the Free State.
 

News Archive

UFS alumnus receives PhD in Statistics from the University of Oxford
2016-06-03

Description: DW Bester  Tags: DW Bester

In May of this year, DW Bester obtained
a DPhil in Statistics at the University of
Oxford.
Photo: Supplied

On 14 May this year, Dr DW Bester received a DPhil in Statistics from the University of Oxford. The entire ceremony, which was held in the Sheldonian Theatre in Oxford, was conducted in Latin, as has been the case for the past 800 years.

Dr Bester completed his undergraduate studies and his honours degree at the University of the Free State (UFS). “At first, I was only planning to study for a master’s degree, but was privileged to get an opportunity to do a PhD as well. I didn’t think twice!” he says.

Studies at the University of Oxford


Universities in England do not require a master’s degree for PhD studies. With the help of Prof Max Finkelstein from the UFS Department of Mathematical Statistics and Actuarial Science, Dr Bester registered for the DPhil programme in Statistics directly after his honours studies.

“The title of my thesis was: Joint survival models: A Bayesian investigation of longitudinal volatility. It dealt with a problem in the medical field to determine the cause of stroke risk: is it the absolute level of blood pressure, or the volatility thereof? The analysis of this question led to interesting models which needed advanced application techniques. I had to study these techniques and write programmes for their application.

Although Dr Bester is working currently as the technical head of a company that calculates insurance for power stations, satellites, rockets, and cyber risks, he would like to continue working with his Oxford supervisor in future to make the techniques they have developed more accessible for researchers outside of the field of statistics.
 
“Studying at Oxford requires hard work, perseverance, and a lot of luck. Luck plays a big role, since there are no guarantees that hard work will ensure you a spot in one of the top universities.

Regarding his studies at Oxford, Dr Bester thinks back on his exposure to the GNU/Linux operating system, and free software. “I have seen how valuable this is for analyses in practice. I also had the privilege of meeting the father of free software, Richard Stallman,” Dr Bester says.

2011 Rhodes Scholar

He was elected as Rhodes Scholar in 2011. According to Dr Bester, who has been interested in Mathematics since high school, the Rhodes scholarship was something of a fluke. He applied for the Rhodes scholarship on the recommendation of Prof Robert Schall of the Department of Mathematical Statistics and Actuarial Science.

Role of the UFS in his successes


In addition to the continued support from the team of passionate professors and lecturers at the UFS, the actuarial degree at the UFS is fraught with statistics. Emphasis is also placed on Bayesian statistics. This was crucial to his studies at Oxford. According to Dr Bester, this topic is emphasised strongly in the international statistics community.

Dr Bester regards the work done by two of his lecturers, Michael von Maltitz and Sean van der Merwe, among his highlights at the UFS. Since our first year, they have created an atmosphere of camaraderie among the students. “I think this contributed to the success of everybody. They also make an effort to present topics outside of the syllabus regularly,” says Bester.

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