We may be using the term AI too casually.
“Artificial Intelligence” may be valid as a technical label. But in education, much of what we call AI may be closer to Artificial Intellect.
Why?
Because intellect deals with memory, knowledge, patterning, repetition, and processing what is already known.
But intelligence, in the deeper human sense, includes perception, discernment, creativity, and the ability to meet something new directly.
AI is powerful. It can retrieve, organize, summarize, and generate outputs with extraordinary speed and efficiency.
But efficiency is not the same as intelligence.
That is why the real question in schools is not simply whether students should use AI.
The real questions are:
What am I using AI for?
To learn? Or to avoid learning?
What am I becoming through using it?
More competent? Or more dependent?
Is it helping me build skill?
Or replacing the very process through which skill is built?
AI can be a powerful support for learning.
But it can also become a shortcut.
And that is the danger:
high-quality output, low-quality growth.
So perhaps the conversation we need is not only about what AI can do.
It is about what its use is doing to the student.
That is the real question.
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