In declarative learning, unlike in procedural learning, we can accomplish maximum speed of learning if we minimize the review of the material with a view to a selected level of knowledge retention. For each selected retention level, there is an optimum review schedule that can easily be computed (as in SuperMemo). Maximum speed of learning is reached if we allow 20-25% of the material to be forgotten by the time of review.
For higher retention levels, knowledge acquisition rate is slowed by the rapidly increasing frequency of review. For lower retention levels, knowledge acquisition is slowed by forgetting. In practise, for excellent long-term results we elect to remember anywhere between 80 to 98% of the learned material.
For most important material, we choose higher retention at the cost of lower knowledge acquisition rate (i.e. Learning speed). The existence of the optimum schedule of review and the optimum knowledge representation makes it possible to determine the natural limit ... more.
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