It’s interesting how the idea that ‘learning can be fun’ has been translated into the gamification of education, which in turn has devolved into making games that are essentially about practice pages that are ‘fun and interactive’.
I think AI has the ability to change this. Learning can be less about practice questions and more about deeper learning. Instead of playing a game with progressively harder, very predictable levels, the learning could authentically go where a student is interested. Two students could start the same, entertaining journey but end up learning and achieving vastly different outcomes. Not just higher math skills, but rather practical learning. A puzzle trying to determine the wiring of some gadget could lead to teaching basic electronics and it could lead to learning about electrical engineering.
The more used approach in machine assisted learning is to have specific goals and be responsive to the learner’s ability. The more advanced approach is to have general objectives and to be responsive to the learner’s interests.
It’s not just the outcomes of these that are drastically different, it’s also the entire approach to what it means to say, ‘Learning can be fun’.
