#incremental_learning #learning #supermemo
The Supermemo algorithm ensures 95% knowledge
retention by default. That fraction can be increased at the cost of higher cost in time (i.e. more frequent review).
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The Supermemo algorithm ensures 95% knowledge retention by default. That fraction can be increased at the cost of higher cost in time (i.e. more frequent review). Retention can also be reduced to increase the overall speed of learning. In heavily overloaded collections, 95% retention figure refers only to top-priority material. To save time, low Original toplevel document
Incremental learning - SuperMemo Helpng index with items that have the same cloze keywords separated, or just see how thus gained knowledge works in practice)
you can look at learning parameters in SuperMemo to see how different approaches to learning affect your progress
<span>Advantages of incremental reading
In incremental learning, you learn fast, you acquire massive loads of knowledge, retain memories for life, remember almost all that you have learned, understand things better, develop harmoniously in all directions, enhance your creativity, and all that while having incredible fun! If that sounds too good to be true, please read more below or just give it a solid try.
Massive learning
Incremental learning offers a possibility of studying a huge number of subjects in parallel. In traditional reading, very often, one book or academic subject must be completed before studying another. With incremental learning, there is virtually no limit on how many subjects you can study at the same time. The volume of processed knowledge can be staggering. Only the availability of time and your memory capacity will keep massive learning in check.
Lifetime memories
As incremental learning is based on spaced repetition, all memories that you form while learning will be indefinitely protected from forgetting. See: General principles of SuperMemo. Only SuperMemo makes it possible to implement incremental reading. Incremental reading requires continual retention of knowledge. Depending on the volume of knowledge flow in the program, the interval between reading individual portions of the same article may extend from days to months and even years. SuperMemo (repetition spacing) provides the foundation of incremental reading, which is based on stable memory traces that would not fade between the bursts of reading
High retention
In incremental learning, the review of the learning material is governed by a spaced repetition algorithm known as the SuperMemo method. The algorithm ensures 95% knowledge retention by default. That fraction can be increased at the cost of higher cost in time (i.e. more frequent review). Retention can also be reduced to increase the overall speed of learning. In heavily overloaded collections, 95% retention figure refers only to top-priority material. To save time, low priority material may be reviewed less frequently, resulting in lesser retention.
Comprehension
One of the limiting factors in acquiring new knowledge is the barrier of understanding. Building knowledge in your brain is like assembling a jigsaw puzzle. Some pSummary
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