Most learning curves in the education system today are very bumpy and don't adapt well to the specific student. Students get stuck on big bumps or get bored and demotivated at plateaus.
AI has potential to smooth out all curves so that students can learn faster and maximize time in flow.
I've spent literally thousands of hours thinking about this (and working on it). The future of education will be as different from today as today is to 300 years ago.
Kids used to get smacked with a stick if they spelled a word wrong.
The point is that the education system has come a long way in utilizing STEM to make education more efficient (helping students advance faster and further with less resources) and it will continue to go a long way further.
People thought the threat of physical violence was a good way to teach. We have learned better. What else is there for us to learn? What have we already learned but just don't have the resources to apply?
I've met many educators who have told me stories of ambitions learning goals for students that didn't work because there weren't the time or resources to facilitate them properly.
Often instructors are stuck trading off between inauthentic assessments that have scalable evaluation methods or authentic exercises that aren't feasible to evaluate at scale and so evaluation is sparse, incomplete or students only receive credit for completion.
AI has potential to smooth out all curves so that students can learn faster and maximize time in flow.
I've spent literally thousands of hours thinking about this (and working on it). The future of education will be as different from today as today is to 300 years ago.
Kids used to get smacked with a stick if they spelled a word wrong.