AI marking in Australian universities is rapidly becoming a reality, with several institutions allowing staff to use generative artificial intelligence to grade student assignments. But critics warn this could pose an existential threat to higher education.
Armin Alimardani, a senior lecturer in law and technology at Western Sydney University, has blue hair, is fresh-faced, wears a smart watch and describes himself as “a tech enthusiast”. He is an unlikely sentinel, perhaps, to warn that a drift towards academics using generative AI to help mark students’ assignments could pose an existential threat to higher education. Alimardani has been studying and experimenting with AI for years – he is speaking from Palermo in Italy, where he is attending a series of university workshops on the technology. He says colleagues have been asking him lately if it could help lighten the burden of grading. Alimardani finds this talk “extremely concerning”.
“We’ve got to be really careful where we are stepping here,” he says. “Because I think there’s always a risk, at the moment, for higher education to collapse”.
AI Marking: A Fork in the Road for Universities
AI being used to mark assignments is no theoretical prospect – but a fork in the road at which universities have suddenly found themselves confronted. Alimardani’s is among several universities in Australia that allow staff to use AI in marking assessments and giving students feedback. Though limited, fellow critics say such use of AI risks universities replacing the work of human academics on campuses with algorithms in datacentres – and that it could create a so-called “slop-cycle”, in which AI-generated feedback leads to AI-generated student work, further eroding academic standards.
The debate is not just about efficiency. It strikes at the heart of what a university education is for. If students are graded by machines, what does that say about the value of a degree? And if academics outsource marking to AI, are they abdicating their responsibility to provide meaningful, personalised feedback that helps students learn?
The Promise and Peril of AI in Higher Education
Proponents argue that AI can help overworked staff manage large class sizes and provide timely feedback. With rising student numbers and limited resources, AI offers a tempting solution. But critics like Alimardani warn that the risks far outweigh the benefits. They point to issues of accuracy, bias, and the potential for AI to miss nuanced arguments or creative insights that a human marker would catch.
Moreover, the use of AI in marking could accelerate a trend towards standardisation and commodification of education, where students are treated as data points rather than individuals. This could undermine the very purpose of higher education: to foster critical thinking, creativity, and a love of learning.
Comparing Human and AI Marking
To understand the differences, consider the following comparison:
| Aspect | Human Marking | AI Marking |
|---|---|---|
| Accuracy | High, with contextual understanding | Variable, depends on training data |
| Bias | Can be mitigated through awareness | Can perpetuate and amplify biases |
| Feedback Quality | Personalised, nuanced | Standardised, may lack depth |
| Cost | High | Low |
| Scalability | Limited | High |
Key Takeaways
- AI marking is already being used in some Australian universities, but its use is limited and controversial.
- Critics warn of an existential threat to higher education if AI replaces human academics in assessment.
- The “slop-cycle” could lead to a downward spiral in academic standards.
- Human marking offers personalised feedback that AI cannot replicate.
- Universities must carefully consider the ethical and pedagogical implications before expanding AI marking.
FAQ
What is AI marking?
AI marking refers to the use of generative artificial intelligence tools to assess student assignments and provide feedback, often in place of human academics.
Is AI marking allowed in Australian universities?
Some Australian universities permit staff to use AI in marking, though its use is limited and subject to guidelines. The practice is controversial and not universally accepted.
What are the risks of AI marking?
Risks include inaccurate or biased grading, loss of personalised feedback, erosion of academic standards, and the potential replacement of human academics with algorithms.
The debate over AI marking is far from settled. As universities grapple with the possibilities and pitfalls, one thing is clear: the decisions made today will shape the future of higher education for generations to come.
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