Deck 13; 4096 Cards
In the preceding example, the benchmarks begin at 1 for the first
deck, which is doubled in the second deck and so on. When a new term is
introduced to deck one, the student will review that term until it is
correctly recognized and is moved to deck two. The term has now
sprouted in the student's short-term memory, but if it is not reviewed,
then it can easily be forgotten within a few seconds. Deck two,
however is also a micro deck, having a bench mark of only two
cards. Because deck two's benchmark won't be reached until it has two
cards, the software will automatically fill deck one with a card from
the "to learn" deck. This card will be reviewed and placed into deck
two as well. Deck two now has two cards in it, it's benchmark is
reached, so the program automatically switches to deck two. Because
there are only two cards, the student will review a card that
should still be in his or her short-term memory. As the term
progresses through the decks it is also moving deeper into the
student's memory and the interval between seeing a term and reviewing
it grows longer. In this manner, the term makes a very smooth
transition from outside the students knowledge base to his or her long
term memory.
If a student notices that that he is incorrectly answering a
number of cards when they reach a certain deck, this indicates that two
much time is passing before the card is reviewed and that means that
the benchmark on the deck is set too high. The student can remedy this
by lowering the benchmark on the deck, thereby shortening the review
interval to within the students memory retention.
This is where the focus of the discussion shifts from micro decks to accuracy ratios.
If the program monitors how often a student answered cards from
any given deck correctly, the accuracy ratio could be recorded next to
the deck for the student to see. Let's say the student wants to have a
minimum accuracy of 70% for any given deck, then once he sees that his
accuracy dips below 70% he can decrease the size of the deck his or her
accuracy returns to a healthy level. This way, the student can adjust
the program to match his or her own personally ability to retain and
memorize information.
To take this concept one step further it would be nice if the
student was able to set accuracy benchmarks as well. For example, the
student could set an accuracy benchmark of no less that 70% on a deck.
If the accuracy of that deck fell below the benchmark, the program
would automatically lower the benchmark on the deck, thereby shortening
the review interval and increasing the accuracy ratio.
What would also be nice would be the ability to set a maximum
accuracy limit. Let's say the student sets a maximum accuracy limit of
97%, but is answering the questions with an accuracy of 98%, the
program would then increase the size of the deck until the student's
accuracy rate was back below 97%. This step decreases the occurrence
of unnecessarily reviewing terms that are already memorized
sufficiently for that deck. Reviewing terms that are not in need of
review also wastes time. By setting a maximum accuracy limit, time
will not be wasted by endlessly reviewing terms that are already
solidly placed in the memory of the student. The benchmarks would flux
and change as the software adapted to and "learned" the students
ability to memorize new terms.
I believe that the use of micro decks and accuracy ratios would
greatly speed up the memorization process, thereby increasing the rate
of language acquisition!!!