Bryan Bischof (Head of AI at Theory Ventures) reframes AI in education: the real test isn't "can a model ace this assignment?" but "can it actually help a student learn when it counts?"
His semester test: can AI one-shot the entire course? Answer's always no. But here's the nuance—assignments easy for models can still let students fake learning. Just because GPT knows the content doesn't mean the student absorbed it.
The shift: stop asking "what can AI answer?" Start asking "can AI guide a student to the right outcome when they actually need to apply the knowledge?"
It's about collaboration at decision time, not just content regurgitation. The model becomes a co-pilot for understanding, not a cheat code for grades.
His semester test: can AI one-shot the entire course? Answer's always no. But here's the nuance—assignments easy for models can still let students fake learning. Just because GPT knows the content doesn't mean the student absorbed it.
The shift: stop asking "what can AI answer?" Start asking "can AI guide a student to the right outcome when they actually need to apply the knowledge?"
It's about collaboration at decision time, not just content regurgitation. The model becomes a co-pilot for understanding, not a cheat code for grades.