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02 October 2019 | Story Anneri Meintjes | Photo Charl Devenish
Anneri Meintjes
Anneri Meintjes from the Centre for Teaching and Learning at the UFS.

The #FeesMustFall student-led movement started in 2015 to protest against increasing student fees and to call for increased government funding of universities. At the end of 2016, the protests led to mass disruption of academic activities in higher-education institutions countrywide. Some universities, including the University of the Free State (UFS), suspended academic activities for extended periods which necessitated online and blended learning approaches (the combination of face-to-face and online learning) to complete the academic year. In most cases, these methods were unplanned and unstructured, and knowledge gaps in good blended learning practice were identified.

The Carnegie Corporation of New York funded a two-year research project in collaboration with the University of Pretoria, UFS, University of Cape Town and University of Johannesburg to investigate the use of blended learning at the end of 2016, during the campus disruptions, as well as how these respective institutions used blended learning in 2017.

The prohibitive cost of data in South Africa means few of our students have access to the internet off-campus. The most recent data on UFS student digital identity shows that only 21% have consistent, reliable access to the internet at home. This is a challenge not only for the UFS but for all universities in the country.

“For technology to be used in a way that contributes to learning and teaching, we needed to investigate what works well and what does not, considering our contextual challenges” says Anneri Meintjes from the Centre for Teaching and Learning, who was the principal researcher for the UFS on this project. In the first phase of the research, she wrote a case study on the UFS’ approach to blended learning during and after the protests in 2016. The findings of this phase of the research were presented at a national convening of higher-education institutions across South Africa.

In the second phase of the research, the four participating universities produced open educational resources on good, blended learning practice to share with universities countrywide. The UFS was responsible for the development of online assessment resources and general best-practice guidelines for the use of blended learning. Anneri says: “While we had laid solid foundations for the effective use of online assessment at the UFS prior to 2016 through the investment in online assessment software and staff development in online assessment design, we learnt many valuable lessons during that time. It provided momentum for the establishment of formal online assessment procedures and refinement of best-practice guidelines. This research project gave us an opportunity to share our work on a national platform.” The number of lecturers that use online assessment in their modules has grown considerably at the UFS since 2016. In 2016, 211 online assessments were completed on Questionmark (UFS online assessment programme) and in 2018, this number had grown to 743. Institutional Blackboard use data shows that at least one online assessment tool is used in 47% of all modules on Blackboard.

Resources developed by the other participating institutions include a self-evaluation app that academics can use to reflect on their existing blended learning practices, and an online utility that assists lectures and course designers to plan blended learning modules.

Anneri also coordinated the development of the national website, which was launched at the Flexible Futures conference hosted by the University of Pretoria on 9-10 September 2019. The website and resources were praised at the conference for being a timely response to a critical need in the higher education community in South Africa.

News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


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