Subset learning (Learn vs. Review)

Frequently, you may want to review only a selected portion of your collection. This may happen, for example, when you want to refresh memory before a specific exam, or to review the material related to a topic of current interest. In such circumstances, use subset learning to learn or review a portion of material which may be outstanding or not.

You can do subset learning in the contents window to review a selected branch of knowledge, or in the browser to review a selected subset of your collection.

Here are the three main ways of subset learning:

  • (subset) Learn (Ctrl+L) will execute all outstanding repetitions in a subset
  • Review all will execute all outstanding repetitions and well as force mid-interval repetitions on all elements in a subset (except those elements that have already been reviewed today). Review of non-outstanding elements is equivalent to Learning : Execute repetition (Shift+Ctrl+R) available from the element menu
  • Review topics works like Review all but it does not include items, i.e. it forces a review of all topics in a subset (except topics that have already been reviewed today)

All the above options are available on Process branch> : Learning submenu of the contents menu, or Process browser> : Learning submenu of the browser menu.

In the simplest case of subset learning, the button Learn at the bottom of the contents window can be used to execute outstanding repetitions on a selected branch of the knowledge tree. For example, to make repetitions in the Medical Sciences branch, click that branch and then click Learn. Using Learn in the contents window is like using learn in the element window, except only elements belonging to the selected branch will be considered in making repetitions.

The parameter Subset in the statistics window indicates the progress of repetitions in subset learning. This field displays the number of items, the number of topics, and the number of pending elements in subset learning. The name in the parentheses describes the currently processed subset.

Example 1

If you would like to review the material related to Auguste Comte (1798-1857) do as follows:
  1. Press Ctrl+F and paste Auguste Comte in the search box
  2. Press Enter or click Find (this will search your collection and open a browser with the results)
  3. Choose one of the subset learning options:
    • to prevent forgetting: press Ctrl+L or choose Process browser : Learning : Learn to review only the outstanding material. This will help you review only the items that are most likely to be forgotten and a portion of topics that have been scheduled for review for today
    • to learn new things: choose Process browser : Learning : Review topics to review all topics related to Auguste Comte
    • to maximize the review (e.g. before an important deadline): choose Process browser : Learning : Review all to review all topics and to force a repetition on all items related to Auguste Comte. Remember that premature review of items may paradoxically slow down your long-term learning

Example 2

If your history exam is approaching and you cannot cope with all repetitions in the collection, make sure that at least your daily portion of history is thoroughly reviewed:
  1. Select History branch in the contents window
  2. Click Learn at the bottom of the contents window
Repeat the procedure daily. However, in the last 3-5 days, you could follow that yet with Process branch : Learning : Review all to protectively refresh the material that would optimally be scheduled after the exam. Important! This strategy is not recommended for long-term learning! It departs from the optimum timing for review to consolidate memories. It should only be reserved for situation when burning school situation forces you to neglect your long-term planning.

You can also choose Learning : Learn branch on the element menu to begin branch learning for one of the ancestors of the currently displayed element. You can use this method if you encounter interesting material that you would like to refresh more thoroughly before you proceed with your standard learning process.

If you have final drill enabled, remember that subset learning does not keep a separate final drill queue and elements that score less than Good (4) are put to the global final drill queue.

See also: Subset operations