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by Royce-CMR
33 days ago
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I was home schooled - so my perspective of education is at best, unique. I finished a dual major undergrad at 18, got an MBA at 21. Based on my own experiences and those of people I’ve watched, I have three points. Sample size of 1 and all that; but it’s a lowkey passion topic for me. - The argument that AI is “the next calculator” and education testing and overall methods need to adapt, is true. - The distance between learning concepts to passing memorization tests(or worse, non-reality test specific logic) has grown significantly in my lifetime, and the AI education problems are really a mix of the cascade impacts of this issue + the AI impacts on conventional education measures. - The problem with students who use AI to get past (often arbitrary) difficult courses or testing scenarios may look like one problem compensating aka solving for another (and I love AI for it!) but the parallel problem of AI (and our education system baseline) enabling students to normalize non-cognitive drone like approaches to any problem is super problematic. The last point is an admittedly recent eye opening moment for me. Working with younger students recently, they are shocked at anything less than a fully clearly defined problem (education system training) and anytime thinking is required, they go to AI (which is fine!) and they can’t think beyond the AI output (which is super not fine!) The latter has been astonishing for myself and coworkers and really has us reconsidering our young talent programs. |
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