In university towns, professors are fighting a new view Plagiat Panic: The fear that students allow ChatGPT and other generative AI tools are thinking about them.
But one educational researcher said that the real crisis does not deceive – this is that higher education continues to test the very very AI skills work bestWhile neglecting others, this cannot.
In an essay for a conversation, published on Sunday, Anitius Lubbe, associate professor of the North-West University in South Africa, said that universities were “focused only on Police “You have Use instead of asking a more fundamental question: do students really study.
Most of the assessments, she wrote, still rewards memorization and training – “precisely those tasks that AI performs best.”
Lubbe warned that if universities are rethought, how they teach and evaluate students, they risk producing Graduates who can use artificial intelligence But do not criticize his conclusion.
“This should include the ability to evaluate and analyze the text created by A-Creation,” she wrote. “This is the skill that is necessary for critical thinking.”
Instead of Prohibition AIAccording to Lubbe, universities must use it to teach what the cars cannot do – thoughts, judgment and ethical reasoning.
She offers five ways in which teachers can fight back:
1. To teach students to evaluate the result of AI as a skill
She said that professors should force students to interrogate the results of generative tools and ask them to determine where, the generated AI, is inaccurate, biased or small before they can use it in their own work.
According to her, this is how students learn critically about information, and not just consume it.
2. The purpose of the frames at several levels of thinking
Instead of allowing AI to handle each stage of the project, she urged teachers to develop tasks that direct students gradually deeper levels of thinking – moving from the main understanding to the analysis and, ultimately, to their original creation – therefore they cannot simply delegate the entire process of the machine.
3. Promote the ethical and transparent use of AI
Students, according to her, must understand that responsible use begins with disclosure, explaining when, how and why they used tools such as ChatGPT.
She said that openness not only creates integrity, but also helps to demistify AI as a training partner instead of secret weapons.
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4. Encourage the consideration of rivals, as well as
According to her, when students criticize projects generated by AI, they learn to evaluate both technology and human thinking behind it.
This process, in her opinion, restores a sense of dialogue and cooperation, which erases pure automation.
5. Realist Reflection, not just the results
She said that grades should take into account how students used AI – regardless of whether they documented their process, justified their choice or demonstrated training by comparing the reasoning of the machine.
“But concentration of attention only on police activities misses a big problem: are students really studying,” Lyubbe wrote.
Wider academic anxiety
The warning of Lubbe repeats the wider concern among teachers that students quietly outsource thinking with AI.
Last week, Kimberly Hardsetl, a business professor at the University of Northumbria, wrote that AI allows students to “make complex results without a cognitive trip, traditionally necessary for their creation”, calling it ”Intellectual revolution“This risks transferring control over knowledge of great technologies.
While HardCastle Fears AI releases a critical thought, a former venture capitalist who became a teacher, Ted Dintersmith warned that schools are already teaching students to think like cars – a mistake, he said, will leave them unprepared on the labor market, where “two or three people who are good in AI will replace 20 or 30.”
Last week he said BI that there are already schools “train children to remotely follow in the footsteps of artificial intelligenceHaving made “erroneous, expensive versions of Chatgpt” instead of teaching creativity, curiosity and cooperation – the very skills of the car cannot be reproduced.
