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#incremental_learning #learning

Reading overload

Overload occurs when the student has more outstanding items or topics to review than (s)he can handle. Few users can sustain more than 200 item repetitions per day. When the Outstanding parameter in the Statistics window starts going above that number, overload is likely.

Overload can best be handled with Auto-postpone. However, a one-time big load can be resolved efficiently with Postpone (delaying all elements), or Mercy (spreading all review in time).

You can also postpone a specific topic with all its extracts using the following method:

  1. Go to the topic in question
  2. Press Ctrl+Space to open the topic, its extracts, and clozes in the browser
  3. Choose Process browser> : Postpone on the browser menu

Note that you may need to use Learning : Locate extracts on the element menu if you have moved portions of your learning material to other branches.

See also:

Auto-sort and auto-postpone

As long as you prioritize your learning material well, you should make your life easier by checking the following 2 options:

Auto-postpone always leaves a number of top-priority elements in the queue. The purpose of the postpone is to get rid of the main mass of low-priority material and focus on top-priority material. You are most likely to use Postpone after a day of learning, while Auto-postpone is executed before your learning day begins. This is why it never affects today's material, and does not postpone top-priority material from previous days. If you have Auto-postpone checked on the menu, you will always start the day with all the repetitions scheduled for that day, and a number of unexecuted top-priority repetitions from previous days. Even though Auto-postpone increases the intervals and reduces the retention of low-priority material, it also makes you benefit from the spacing effect. Research shows that longer intervals may paradoxically increase the speed of learning (up to a certain point). This comes from the fact that the default retention in SuperMemo (around 95%) is higher than the retention that delivers the largest number of items remembered per unit of time invested.

You can start with default settings of the sorting criteria, however, if you feel you make insufficient progress with items (e.g. high forgetting index), you can reduce the proportion of topics. If the inflow of new material is too slow, you can increase the proportion of topics. If your priorities are imperfect, increase the degree of randomization. If you think you miss too many high priority items (see: Tools : Statistics : Analysis : Use : Priority protection from the main menu), reduce the randomization. By trial and error, you will arrive at your optimum. Even after you find your optimum, keep experimenting with different randomization and topic levels. This will help you avoid various cognitive biases that develop through the routine of learning. It may also be helpful to execute random review from time to time (just to get a general feel of your overall progress).

With Auto-sort and Auto-postpone, you will nearly never have to worry about material overload. Each time you start SuperMemo for the first time on a given day, it will first postpone repetitions that you failed to execute on previous days. It will use default postpone criteria which you can always modify (e.g. with Learn : Postpone : All elements). After postponing the backlog of repetitions, SuperMemo will sort today's repetitions and those that were left outstanding by Auto-postpone. Auto-sort will use sorting criteria specified earlier with Learn : Sorting : Sorting criteria.

With Auto-postpone and Auto-sort, you can always begin your day with a manageable portion of material sorted by priority. Your learning sequence will be optimized with no action on your part (i.e. no options to choose, and no keys to press).

Overload hints

  • With or without Auto-postpone, your only sure remedy against forgetting is always the same: complete your repetitions!
  • Auto-postpone affects all days except for today. If you have low-priority topics scheduled for today, Auto-postpone will delay them only tomorrow and only if you do not review them today. This is to ensure that low-priority topics also have a chance to enter repetitions as determined by your Randomization/Prioritization balance in the sorting criteria
  • In the Postpone dialog, Skip the following number of top priority elements skips only elements that were skipped by Skip conditions on the Parameters tab. It will not protect elements from being postponed if they are not protected by the postpone criteria. Whatever the value of this parameter, you can still have all your elements postponed. You can best view it as a pro-postpone parameter that is used to force extra postpones (not an anti-postpone parameter that protects your from extra postpones). Skip here means "skip postpone protections" not "skip postpones"
  • Simulate in Postpone can be used to tell you how well your current postpone criteria work. It ignores Skip the following number of top priority elements because this parameter needs no simulation (it will always enforce skipping the said number of elements protected from Postpone by the postpone criteria)

Subset review

Subset review is a review of a portion of the learning material (e.g. before an exam). The portion may be identified with search, by branch selection in Contents, by concept group, and other means that determine a subset of elements. The reviewed subset material may be sorted by its sequence in the knowledge tree (Contents), priority, difficulty, interval, recency, etc.

For more, see Subset learning

If you want to change selection, open document below and click on "Move attachment"

Incremental learning - SuperMemo Help
pics and concepts, you can also use tasks in incremental learning. Tasks are jobs sorted by Value/Time or Value/Price ratio. For an extensive comparison of items, topics, concepts and tasks in SuperMemo, see: Element types in SuperMemo. <span>Reading overload Overload occurs when the student has more outstanding items or topics to review than (s)he can handle. Few users can sustain more than 200 item repetitions per day. When the Outstanding parameter in the Statistics window starts going above that number, overload is likely. Overload can best be handled with Auto-postpone. However, a one-time big load can be resolved efficiently with Postpone (delaying all elements), or Mercy (spreading all review in time). You can also postpone a specific topic with all its extracts using the following method: Go to the topic in question Press Ctrl+Space to open the topic, its extracts, and clozes in the browser Choose Process browser> : Postpone on the browser menu Note that you may need to use Learning : Locate extracts on the element menu if you have moved portions of your learning material to other branches. See also: Priority queue Mercy Postpone Auto-sort and auto-postpone As long as you prioritize your learning material well, you should make your life easier by checking the following 2 options: Learn : Sorting : Auto-sort repetitions that results in sorting your outstanding queue by priority at the start of each day. Learn : Postpone : Auto-postpone that results in postponing outstanding repetitions of lower priority at that start of each day. It ensures you do not get overloaded, and it ensures that you minimize delays for top priority material. Auto-postpone always leaves a number of top-priority elements in the queue. The purpose of the postpone is to get rid of the main mass of low-priority material and focus on top-priority material. You are most likely to use Postpone after a day of learning, while Auto-postpone is executed before your learning day begins. This is why it never affects today's material, and does not postpone top-priority material from previous days. If you have Auto-postpone checked on the menu, you will always start the day with all the repetitions scheduled for that day, and a number of unexecuted top-priority repetitions from previous days. Even though Auto-postpone increases the intervals and reduces the retention of low-priority material, it also makes you benefit from the spacing effect. Research shows that longer intervals may paradoxically increase the speed of learning (up to a certain point). This comes from the fact that the default retention in SuperMemo (around 95%) is higher than the retention that delivers the largest number of items remembered per unit of time invested. You can start with default settings of the sorting criteria, however, if you feel you make insufficient progress with items (e.g. high forgetting index), you can reduce the proportion of topics. If the inflow of new material is too slow, you can increase the proportion of topics. If your priorities are imperfect, increase the degree of randomization. If you think you miss too many high priority items (see: Tools : Statistics : Analysis : Use : Priority protection from the main menu), reduce the randomization. By trial and error, you will arrive at your optimum. Even after you find your optimum, keep experimenting with different randomization and topic levels. This will help you avoid various cognitive biases that develop through the routine of learning. It may also be helpful to execute random review from time to time (just to get a general feel of your overall progress). With Auto-sort and Auto-postpone, you will nearly never have to worry about material overload. Each time you start SuperMemo for the first time on a given day, it will first postpone repetitions that you failed to execute on previous days. It will use default postpone criteria which you can always modify (e.g. with Learn : Postpone : All elements). After postponing the backlog of repetitions, SuperMemo will sort today's repetitions and those that were left outstanding by Auto-postpone. Auto-sort will use sorting criteria specified earlier with Learn : Sorting : Sorting criteria. With Auto-postpone and Auto-sort, you can always begin your day with a manageable portion of material sorted by priority. Your learning sequence will be optimized with no action on your part (i.e. no options to choose, and no keys to press). Overload hints With or without Auto-postpone, your only sure remedy against forgetting is always the same: complete your repetitions! Auto-postpone affects all days except for today. If you have low-priority topics scheduled for today, Auto-postpone will delay them only tomorrow and only if you do not review them today. This is to ensure that low-priority topics also have a chance to enter repetitions as determined by your Randomization/Prioritization balance in the sorting criteria In the Postpone dialog, Skip the following number of top priority elements skips only elements that were skipped by Skip conditions on the Parameters tab. It will not protect elements from being postponed if they are not protected by the postpone criteria. Whatever the value of this parameter, you can still have all your elements postponed. You can best view it as a pro-postpone parameter that is used to force extra postpones (not an anti-postpone parameter that protects your from extra postpones). Skip here means "skip postpone protections" not "skip postpones" Simulate in Postpone can be used to tell you how well your current postpone criteria work. It ignores Skip the following number of top priority elements because this parameter needs no simulation (it will always enforce skipping the said number of elements protected from Postpone by the postpone criteria) Subset review Subset review is a review of a portion of the learning material (e.g. before an exam). The portion may be identified with search, by branch selection in Contents, by concept group, and other means that determine a subset of elements. The reviewed subset material may be sorted by its sequence in the knowledge tree (Contents), priority, difficulty, interval, recency, etc. For more, see Subset learning Hints and tips Importing articles Importing articles from Wikipedia is easiest: to search for Wikipedia articles press Ctrl+F3, type in some keywords, choose Wikipedia,


Summary

statusnot read reprioritisations
last reprioritisation on suggested re-reading day
started reading on finished reading on

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