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16 August 2024 Photo Supplied
Dr Peet van Aardt
Dr Peet van Aardt is the head of the UFS Writing Centre and the Coordinator of the Initiative for Creative African Narratives (iCAN).

Opinion article by Dr Peet van Aardt, Centre for Teaching and Learning and Head of the UFS Writing Centre, University of the Free State. 


The use and permittance of artificial intelligence tools such as ChatGPT at the University of the Free State (UFS) should be discouraged, writes Dr Peet van Aardt.

A decade ago, academics were encouraged to find ways to incorporate social media platforms like Facebook and Twitter in their teaching. Seeing as students were spending so much time on these platforms, the idea was that we need to take the classroom to them. Until they found out young people do not use social media to study, but rather to create and share entertainment content.

During the late 2000s, News24.com, the biggest news website in Africa, went on a mission to nurture and expand what was known as “community journalism” because everybody started owning smartphones, the news outlet’s leadership thought it was the opportunity to provide a platform for people to share photos, videos and stories of news events that took place around them. Until they realised that the vast majority of people didn’t want to contribute to journalism; they merely wanted to consume it.

Lest we assume students will use AI in a responsible and productive manner, at the UFS Writing Centre we find that students over-rely on ChatGPT in their assignments and essays. We should do everything in our power to discourage its use because it threatens what we do at a university on three levels.

It’s an educational issue

There are five main academic literacies we want to teach our students: reading, writing, speaking, listening and critical thinking. When students prompt ChatGPT to write their essay for them, immediately the reading and writing literacies are discarded because the student does not write the essay, nor do they read any source material that would help them form an argument. Critical thinking goes out the window, because it is merely a copy-and-paste job they are performing. And speaking? We see in the Writing Centre that students who use ChatGPT cannot discuss their “work”. The student voice is being killed.

There are lecturers who take the approach of motivating students to use prompted content from ChatGPT in order to critique and discuss the AI output. This is fine, should the students be operating at a level where their academic literacies have been established. In short: for postgraduate use it might be acceptable. Undergraduate students need to go through the process of becoming scholars and master their subject matter before they can be expected to critique it. It is basic pedagogy, and our duty as staff at the UFS, because it aligns with the Graduate Attribute of Critical Thinking.

It’s a moral issue

In addition to the academic literacies we attempt to instil in our students are attributes of ethical reasoning and written communication. The fact that AI tools “scrape” the internet for content without any consent from the content creators means that it is committing plagiarism. It is theft – “the greatest heist in history” as some refer to it. Do we want our students to develop digital skills and competencies on immoral grounds? Because often this is the reason given when students are encouraged or allowed to use AI: “The technology is there, and therefore we must learn to go with the flow and let the students to use it.” By this reasoning one can make the argument that the UFS rugby team (go, Shimlas!) must use performance-enhancing substances because it will make the players faster, stronger and “the technology is there”.

Academics also face a moral dilemma as there seems to brew a view that fire should be fought with fire: that AI can assist and even lead in tasks such as plagiarism detection, assessment and content development. But fighting fire with fire just burns down the house. Let us not look to AI to lessen our workload.

It’s an economic issue

Technology in education should be used to level the playing field. Companies develop online tools with a primary goal of making money – despite what the bandwagon passengers in the East and West promise us. Their operations cost a lot of money, and so they release free versions to get people hooked on it, and then they develop better products and place them behind a paywall. What this then means is that students who can afford subscription costs get access to the premium product, while the poor students get left behind. How can we assess two students who cannot make use of the same version of a tool? This will widen the gap in performance between students from different economic backgrounds. And consider the deletion of the authentic student voice (as alluded to earlier), these AI tools just represent a new platform for colonisation and therefore have no place in our institution.

OK, so what?

Lecturers who want advice on how to detect overreliance on AI tools can have a look at this video, which forms part of the AI Wayfinder Series – a brilliant project by the UFS’s Interdisciplinary Centre for Digital Futures and the Digital Scholarship Centre. These centres also have other helpful resources to check out.

But as an institution we need to produce a policy on how to deal with the threat and possibilities of AI. (Because in society and in certain disciplines it can make a contribution – just not for undergraduate studies in a university context.) Currently, a team that includes staff from the Faculty of Law and that of Economic and Management Sciences is busy drafting guidelines which departments can implement. Then, after a while, a review of these guidelines-in-practice can be done to lead us on the path of establishing a concrete policy.

If we as educators consider the facts that the use of AI tools impede the development of academic literacies (on undergraduate level), it silences local, authentic voices and it can create further economic division among our student community, we should not promote its use at our institution. Technology is not innovative if it does not improve something.

Dr Peet van Aardt is the Head of the UFS Writing Centre and the Coordinator of the Initiative for Creative African Narratives (iCAN). Before joining the UFS in 2014 he was the Community Editor of News24.com. 

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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