More than 50% of Australian university assignments used AI. How should universities respond?
Last week, the U.S. software company Turnitin revealed 53.6% of Australian tertiary education submissions run through its system used some form of AI in the period from October 2025–April 2026. The company, whose plagiarism-detection technology is widely used in universities, als
The revelation that over 50% of Australian university assignments used AI is a significant development that warrants careful consideration from academic institutions. For engineering students, the use of AI in assignments can be a double-edged sword - on one hand, it can facilitate faster and more accurate completion of tasks, but on the other hand, it raises concerns about the authenticity of submissions and the ability of students to develop critical thinking and problem-solving skills. As engineering education places a strong emphasis on hands-on learning and practical application, the over-reliance on AI tools can undermine the very foundations of the discipline.
The widespread use of AI in university assignments also has broader implications for the engineering industry, where professionals are expected to possess a deep understanding of complex systems and principles. If students are relying heavily on AI to complete assignments, it is likely that they will not develop the necessary skills and knowledge to tackle real-world engineering challenges. Furthermore, the use of AI can also perpetuate existing biases and errors, which can have serious consequences in engineering applications where safety and precision are paramount. As such, universities must respond by developing strategies to detect and prevent the misuse of AI, while also promoting a culture of academic integrity and authenticity.
As universities grapple with the implications of AI use in assignments, it will be important to watch how they adapt their teaching and assessment methods to address these challenges. One potential approach could be to design assignments that require students to work in conjunction with AI tools, rather than relying solely on them. Additionally, universities may need to invest in new technologies and tools that can detect AI-generated content, while also providing students with guidance on the responsible use of AI in academic work. Ultimately, the key to navigating this new landscape will be to strike a balance between leveraging the benefits of AI while ensuring that students develop the skills, knowledge, and critical thinking abilities necessary to succeed in the engineering profession.
Originally reported by phys.org. EngineeringNews adds analysis for science & discovery readers.