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FullRecall

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FullRecall is a software that can help you memorize knowledge effectively by scheduling optimal intervals between repetitions. Uses artificial neural network, which gradually grasps your forgetting curve to schedule the best time for an item to come up for a review – a day when you'll be close to forgetting the information.
FullRecall also uses "Power of Question" and CPL (Critical Path Learning) method, based on J. Andrew Shaw's ATOL theory, to maximize learning efficiency. CPL "gets most of its effectiveness from using tight feedback loops and enforcing information accuracy" – FullRecall lets you immediately check if your recall is correct, reinforcing always only the correct answer.
You can also ask FullRecall for "hint" (next character in the answer) or type answer by keyboard and FullRecall gives you instant feedback whether just pressed letter is right.
The software is similar to common flashcard programs: knowledge is stored in question-answer pairs. In review mode you are presented questions, one by one. To every question you think about an answer, and after a while you are confronted with the correct answer. Then you pick a grade to evaluate how well you remembered it. That grade gives FullRecall a feedback.
FullRecall also stores other data (number of total reviews of item, current interval, etc.), given also current grade is able to schedule next optimal review (and later try to learn itself if there was a mistake: if scheduled interval was too long or too short – i.e. if your grade on the next review is below or above "good"). With FullRecall you can learn new things fast, without worrying about repetitions of what you remember – FullRecall assures that even if you forget something – you'll be soon reminded about it.
Here are some key features of "FullRecall":
· program is lightweight, optimized for speed, to save your time
· scheduling of items is done by ANN that learns itself about your pace of learning and grading-habits; scheduling have an auto-final-drill (items you had problems with shows up the same day until ANN decides your grade was enough to schedule item for another day); small randomness in scheduling (to not bore you with the same sequence of items on another day) takes into account how many items are already scheduled on considered days
· Unicode support
· support for images (in all popular formats: PNG, GIF, JPG, BMP, and more)
· XML and tab-delimited file format support
· support for categories; every category can have own its background color
· basic formatting (bold, underline, strikeout)
· possibility to do everything from keyboard
· multi-platform (Windows 98/ME/NT4.0/2000/XP/2003, Linux, FreeBSD, Pocket-PC; planned versions for PalmOS and MacOSX)
· network import/export
· auto-backup in zip file format in a directory/path of your choice
· license (the commercial one, if you'll decide to buy full version) is bound to a person not a computer, so you can use FullRecall on many different computers, in many different places: network synchronization, small FullRecall size and quick installation make work with FullRecall in different places easy
· graphical and textual statistics
· automatic warning about badly formulated items that you keep forgetting even though intervals are low, suggesting what to do
· auto-grab-clipboard mode to facilitate in fast creating question-answer collections without direct interaction with FullRecall
· search supporting regular expressions
· further and constant development
Limitations:
· database size limit up to 500 elements
· no network import/export: you cannot keep your learning database on a FullRecall server
· no possibility to merge databases

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