Optimal learning and a sweet spot for difficulty
Theories of optimal learning show that we learn best when it is not too easy and not too hard.
- The zone of proximal development states that we maximise learning when tasks are slightly beyond what we can do.
- The zone of learnability shows that If texts are too easy, you won't invest much effort in creating a mental model. When it is harder, the struggle forces you to retrieve background knowledge.
- The model of deliberate practice argues that when a skill becomes automatic, we plateau at levels of ability far below our potential.
- Learned industriousness states difficulty plays a role in motivation.
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