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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

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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