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16 July 2025 | Story Martinette Brits | Photo Kaleidoscope Studios
Michael von Maltitz
Prof Michael von Maltitz challenges current science education paradigms at the inaugural NAS Research Conference, urging a shift from grade-driven learning to fostering critical thinking, curiosity, and human intelligence in the era of AI and the Fourth Industrial Revolution.

In his keynote address at the inaugural NAS Research Conference on 1 July 2025, Prof Michael von Maltitz delivered a wide-ranging and compelling critique of the current state of science education. Speaking to an audience of researchers and academics, he challenged assumptions about learning, assessment, and the role of artificial intelligence (AI) in higher education – offering both caution and practical guidance.

Prof Von Maltitz – from the Department of Mathematical Statistics and Actuarial Science at the University of the Free State (UFS) – opened with an overview of the industrial revolutions leading up to the current Fourth Industrial Revolution, characterised by artificial intelligence, connectivity, and data-driven automation. He warned against remaining entrenched in this phase of development, arguing that AI, while powerful, is not truly intelligent. “AI … is … artificial,” he said. “It is based on brute-forcing very large numbers of very basic operations at blazing speeds, linking external inputs to stored information. And so, it’s not intelligent. It’s just strong.”

He cautioned that the unchecked use of AI – driven by efficiency, not understanding – risks entrenching systems that prioritise ease and profit over education and well-being. “Everything is profit-driven at the moment. Everything, and I mean … everything. Really. It is this greed that keeps us firmly stuck in the Fourth Industrial Revolution.”

This, he suggested, makes the vision of a Fifth Industrial Revolution both necessary and urgent. The next phase, he argued, should be one that centres on sustainability, equity, human-machine collaboration – and critically – the development of human intelligence and critical thinking. “There should be something here about ‘building human intelligence’ or ‘critical thinking’. This would truly make the Fifth Industrial Revolution about bettering humanity.”

 

When the measure becomes the mission

Central to his address was the idea of ‘broken proxies’ – the phenomenon where a measurement designed to approximate a goal becomes the goal itself, distorting the original purpose. He illustrated this concept using examples ranging from GDP and crime statistics to social media algorithms, before turning to science education. Here, grades and degrees, once indicators of knowledge and progress, have become ends in themselves.

“The only things that are important to students are grades and degrees, because the incentives are linked to grades and degrees, and so, obviously, all effort will go towards grades and degrees.”

Prof Von Maltitz reflected on his own academic journey, describing how he excelled at exams and accumulated qualifications, yet absorbed little meaningful knowledge in the process. “I played the grades game, and nothing stuck in long-term memory, as is the case with many of our students today,” he said. “Why? Well, there were merit bursaries, degrees, and awards up for offer, not for learning, but for performing well.”

This system, he argued, incentivises performance over understanding and leaves students vulnerable to shortcuts – particularly through generative AI. “Under the assumption that rewards are linked to grades and not education, if you offer a student an assessment method that can be gamed … it will be gamed.”

Referencing a recent MIT study, he warned of the cognitive toll of over-reliance on AI. “They showed that, over four months, the AI users’ brains became systematically less active, especially when asked at the end of the study to do a brain-only essay. They had lower brain function in every area. In four months, they had become significantly ‘dumber’ than their counterparts in the other arms of the study.”

 

Rebuilding curiosity and competence

Despite this sobering analysis, the address was not without optimism. Prof Von Maltitz urged delegates to reimagine education by shifting away from content-heavy teaching and rigid assessment structures. He called for a renewed focus on curiosity, conscious incompetence, and lifelong learning. “Are our students able to self-assess, identify weaknesses and gaps in their knowledge bases, seek answers, and build their own learning paths? Are they humble enough to say, ‘I don’t know’, and curious enough to go and find the answers?”

To support this vision, he proposed four practical steps: redefining teaching goals, distilling module content to its essentials, focusing on graduate attributes such as critical thinking and communication, and reassessing how learning is measured. He encouraged alternatives to traditional exams, including portfolios, interviews, peer assessment, and real-world problem solving.

“We don’t have to pretend to teach students everything in a particular field – but rather we show them what is out there to be learned,” he said.

“Education should not be about teaching everything,” he concluded, “but about showing students what can be known, how to learn, and where to go next.”

 

About Prof Von Maltitz

Prof Von Maltitz is Associate Professor in the UFS Department of Mathematical Statistics and Actuarial Science. He has a long-standing connection with the university, having been a student at the UFS since the start of his BSc, which he completed with distinction in 2003. Over the following years, he obtained a BCom Honours in 2004, MCom in Economics in 2005, BSc Honours in Mathematical Statistics in 2006, MSc in Mathematical Statistics in 2007, and completed his PhD in 2015 while already lecturing.

His research interests span statistics education, sequential regression multiple imputation, incomplete data, and multivariate statistics. He is also known for his strong focus on student engagement and the re-engineering of teaching and learning. His extensive contributions to the field have been recognised through multiple awards for excellence in education.

News Archive

Fire as a management tool questionable in arid and semi-arid grassland areas
2015-03-24

Wild fire in the grassland
Photo: Supplied


The influence of fire on the ecosystem in the higher rainfall ‘‘sour’’ grassland areas of southern Africa has been well established. However, less information is available for arid and semi-arid ‘‘sweet’’ grassland areas, says Prof Hennie Snyman, Professor in the Department of Animal, Wildlife, and Grassland Sciences, about his research on the short-term impact of fire on the productivity of grasslands in semi-arid areas.

Sour and sweet grassland areas can be defined as receiving either higher or lower than approximately 600 mm of rainfall respectively. In quantifying the short-term impact of fire on the productivity of grasslands in semi-arid areas, a South African case study (experimental plot data) was investigated.

“Burned grassland can take at least two full growing seasons to recover in terms of above- and below-ground plant production and of water-use efficiency (WUE). The initial advantage in quality (crude protein) accompanying fire does not neutralise the reduction in half of the above-ground production and poor WUE occurring in the first season following the fire.

“The below-ground growth is more sensitive to burning than above-ground growth. Seasonal above-ground production loss to fire, which is a function of the amount and distribution of rainfall, can vary between 238 and 444 kg ha -1 for semi-arid grasslands. The importance of correct timing in the utilisation of burned semi-arid grassland, with respect to sustained high production, cannot be overemphasised,” said Prof Snyman.

In arid and semi-arid grassland areas, fire as a management tool is questionable if there is no specific purpose for it, as it can increase ecological and financial risk management in the short term.

Prof Snyman said: “More research is needed to quantify the impact of runaway fires on both productivity and soil properties, in terms of different seasonal climatic variations. The information to date may already serve as valuable guidelines regarding grassland productivity losses in semi-arid areas. These results can also provide a guideline in claims arising from unforeseen fires, in which thousands of rands can be involved, and which are often based on unscientific evidence.”

For more information or enquiries contact news@ufs.ac.za

 

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