Academia tries to stem the flood of AI-written papers, but students and experts argue the problem is the system, not the technology.
Quotes by Chen Bareket
Selected excerpts from the interview.
We've been talking for years about changing teaching methods in schools, but academia keeps testing written papers as if we're in the nineties. As long as that's the situation, it's clear students will choose shortcuts.
Let students use these tools, but require them to explain their choices, analyze the outputs, rewrite, think. When the assignment turns from a final product into a process, when you check not only what was submitted but also the way there, learning becomes meaningful again.
If in the past the degree was a passport to the professional world, today it sometimes becomes a symbol of a system that has lost the ability to measure real knowledge. Perhaps the solution lies not in fighting AI more, but in a deep understanding that academia itself needs to be rebuilt.
Banning a new tool leaves the old learning model untouched. We prefer to redesign the process so the tool can be used while thinking, explanation and accountability remain with the learner.