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31 August 2020

Statement by Prof Francis Petersen, Rector and Vice-Chancellor

The university’s executive management is aware of the statement on COVID-19 alert Level 2 measures in the post-school education and training sector delivered by the Minister of Higher Education, Science and Innovation, Dr Blade Nzimande, on 26 August 2020.

During the statement, Dr Nzimande indicated that the University of the Free State (UFS) is one of six universities that is deemed to be at medium risk of not completing the academic year. The statement was surprising and disappointing, since through an engagement between the Department of Higher Education and Training (DHET) and the UFS almost a week ago to understand the university’s approach to the completion of the 2020 academic year, as well as the interpretation of specific information provided by the university in its COVID-19 Responsiveness Multi-modal Teaching and Learning Programme to the DHET, the DHET was clear that the UFS was not at a medium risk, but indeed at a low to very low risk of not completing the academic year.

Since the statement by Dr Nzimande, I received a letter from the Deputy Director-General: University Education at the DHET, Dr Di Parker on 28 August 2020 confirming that the university’s risk rating has been adjusted to a low risk rating. The DHET also recognised the good work done by the UFS towards successful completion of the academic year. 

Let me explain why the DHET delegation expressed its opinion that the UFS was at a low to very low risk of not completing the academic year. The UFS has taken an evidence-based approach to managing the impact of the pandemic. Within the first weeks of the national lockdown, the Special Executive Group (SEG) was formed, which meets weekly to discuss various aspects of the institution’s operations and to forecast and plan the impact of the pandemic. As the university’s COVID-19 nerve centre, the SEG has several task teams, one of which is the Teaching and Learning Management Group (TLMG).

The core function of the TLMG was to ensure that teaching and learning could continue to help staff and students to successfully complete the academic year. The first step in the evidence-based response was to conduct a survey among UFS students to assess their access to devices and data. Altogether 13 500 students responded to the survey. The results showed that 92% of students had an internet-enabled device, 70% could get access to the internet off campus, and 56% had access to a laptop.

Based on this evidence, we immediately initiated the purchase of 3 500 laptops to be distributed to NSFAS- and Funza Lushaka-funded students and students with disabilities. In addition, the Keep Calm, #UFSLearnOn, and #UFSTeachOn campaigns have been launched. These campaigns are aimed at creating the best possible support for academic staff and students, respectively by adapting existing support and practices most suited to an emergency remote-learning environment. The departure point of both campaigns was to design a response for the constrained environments of our students.  

The #UFSLearnOn campaign for students creates materials that students can download on their cellphones and that would provide them with skills and ideas on how to get connected and create an environment where they could study at home. The #UFSLearnOn website has been viewed by 77 000 students to date; the resources were shared with other universities to support a collaborative approach to addressing the COVID-19 challenge. In addition, 177 000 Facebook users have been reached by #UFSLearnOn materials.

The #UFSTeachOn campaign focused on supporting staff to transform their materials and teaching approach to a new reality. Altogether 1 409 staff members attended training sessions, which all ran overtime due to the commitment of staff to create the best possible response. Both the #UFSLearnOn and #UFSTeachOn campaigns are continuing, with an overwhelmingly positive response from our staff and students. 

However, these campaigns would become two of the 16 strategies the university has developed to manage the risks created by the pandemic. Creating responses is, however, not enough – evidence is needed to make a difference. Therefore, the Centre for Teaching and Learning (CTL) was tasked with creating a monitoring system using data analytics. To date, 26 reports have served at the weekly TLMG meetings. The reports monitor the number of staff and students on the Learning Management System, how much time they are spending on learning, and whether they are completing assessments. 

During the peak of the first semester, 90% of students were supported online by academic and support staff. The average performance of students per faculty per campus has been monitored. The use of data analytics allowed us to identify students who were not connecting, as part of the No Student Left Behind initiative. Out of the 41 000 students at the UFS, 989 students were identified who had not connected with learning. These students were contacted individually and to date, 80% of these students have been helped to connect. Additional plans are being developed to support the other 20% to plan for the successful continuation of their studies. The success of our approach is not only borne out by quantitative evidence, but also by qualitative feedback such as the following quote received by an academic adviser on 24 August 2020:

“Thank you so much [advisor’s name]; if it wasn't for you, I would have dropped out, deregistered, or even committed suicide during this pandemic. I want to say that I have passed all my modules with distinctions, all thanks to you. After all the difficulty of learning I have experienced during this period. Please continue your great work to others (you were truly meant for this job), and God bless you.”

There are hundreds more quotations like these that testify to the inspiring efforts of our students and staff to finish the academic year successfully with very low risk. 

The UFS will continue with its project management and risk-adjusted management approach and is fully committed to ensure that no student is left behind and that the 2020 academic year is successfully completed.

News Archive

Inaugural lecture: Prof. Phillipe Burger
2007-11-26

 

Attending the lecture were, from the left: Prof. Tienie Crous (Dean of the Faculty of Economic and Management Sciences at the UFS), Prof. Phillipe Burger (Departmental Chairperson of the Department of Economics at the UFS), and Prof. Frederick Fourie (Rector and Vice-Chancellor of the UFS).
Photo: Stephen Collet

 
A summary of an inaugural lecture presented by Prof. Phillipe Burger on the topic: “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

South African business cycle shows reduction in volatility

Better monetary policy and improvements in the financial sector that place less liquidity constraints on individuals is one of the main reasons for the reduction in the volatility of the South African economy. The improvement in access to the financial sector also enables individuals to manage their debt better.

These are some of the findings in an analysis on the volatility of the South African business cycle done by Prof. Philippe Burger, Departmental Chairperson of the University of the Free State’s (UFS) Department of Economics.

Prof. Burger delivered his inaugural lecture last night (22 November 2007) on the Main Campus in Bloemfontein on the topic “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

In his lecture, Prof. Burger emphasised a few key aspects of the South African business cycle and indicated how it changed during the periods 1960-1976, 1976-1994 en 1994-2006.

With the Gross Domestic Product (GDP) as an indicator of the business cycle, the analysis identified the variables that showed the highest correlation with the GDP. During the periods 1976-1994 and 1994-2006, these included durable consumption, manufacturing investment, private sector investment, as well as investment in machinery and non-residential buildings. Other variables that also show a high correlation with the GDP are imports, non-durable consumption, investment in the financial services sector, investment by general government, as well as investment in residential buildings.

Prof. Burger’s analysis also shows that changes in durable consumption, investment in the manufacturing sector, investment in the private sector, as well as investment in non-residential buildings preceded changes in the GDP. If changes in a variable such as durable consumption precede changes in the GDP, it is an indication that durable consumption is one of the drivers of the business cycle. The up or down swing of durable consumption may, in other words, just as well contribute to an up or down swing in the business cycle.

A surprising finding of the analysis is the particularly strong role durable consumption has played in the business cycle since 1994. This finding is especially surprising due to the fact that durable consumption only constitutes about 12% of the total household consumption.

A further surprising finding is the particularly small role exports have been playing since 1960 as a driver of the business cycle. In South Africa it is still generally accepted that exports are one of the most important drivers of the business cycle. It is generally accepted that, should the business cycles of South Africa’s most important trade partners show an upward phase; these partners will purchase more from South Africa. This increase in exports will contribute to the South African economy moving upward. Prof. Burger’s analyses shows, however, that exports have generally never fulfil this role.

Over and above the identification of the drivers of the South African business cycle, Prof. Burger’s analysis also investigated the volatility of the business cycle.

When the periods 1976-1994 and 1994-2006 are compared, the analysis shows that the volatility of the business cycle has reduced since 1994 with more than half. The reduction in volatility can be traced to the reduction in the volatility of household consumption (especially durables and services), as well as a reduction in the volatility of investment in machinery, non-residential buildings and transport equipment. The last three coincide with the general reduction in the volatility of investment in the manufacturing sector. Investment in sectors such as electricity and transport (not to be confused with investment in transport equipment by various sectors) which are strongly dominated by the government, did not contribute to the decrease in volatility.

In his analysis, Prof. Burger supplies reasons for the reduction in volatility. One of the explanations is the reduction in the shocks affecting the economy – especially in the South African context. Another explanation is the application of an improved monetary policy by the South African Reserve Bank since the mid 1990’s. A third explanation is the better access to liquidity and credit since the mid 1990’s, which enables the better management of household finance and the absorption of financial shocks.

A further reason which contributed to the reduction in volatility in countries such as the United States of America’s business cycle is better inventory management. While the volatility of inventory in South Africa has also reduced there is, according to Prof. Burger, little proof that better inventory management contributed to the reduction in volatility of the GDP.

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