The timely practice app ensures that learners are more likely to retain their learning by timely practice of questions.
The app schedules the reviews - i.e. a practice question - using increasing interval retrieval practice or spaced repetition system (SRS) to maximise retention of learning with the minimum number of questions.
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if the question is answered independently and accurately the app increases the interval;
if the question is answered but needs incorrectly and the teacher judged it needed feedback (because the learner is not accurate or has forgotten or muddled some of the steps) the app decreases the interval;
if the question is not answered (despite the learner having enough lesson time, and the teacher deciding that feedback might work) then the need for feedback is urgent and the app will dramatically decrease the interval;
if the teacher decides that the question is not answered well enough and feedback won’t be worth it (we call this best learned later) then the app will remove the layer from the retrieval practice pool and put it in the best learned later pool;
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The layers in the best learned later pool wait until the teacher decides to teach them again.
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The timely practice app calculates the new depth of learning (the duration that the learner is known to have reliably remembered the layer for - if the layer was asked very late the app will increase this depth - but may not increase it to the actual wait, as the app won’t always consider the actual wait a reliable indicator), calculates the ready date (the earliest date the app thinks the next question from the layer should be asked - so that the duration the learner will be able to remember the layer for is stretched) and calculates the overdue date (the date the app would like the next question from the layer to be asked by - so the learner won’t have forgotten how to answer questions within the layer)
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The timely practice app calculates the new depth of learning (the duration that the learner is known to have reliably remembered the layer for - if the layer was asked very late this won’t be adjusted this time, if the layer was asked within the ready to overdue date range then this duration will be reduced), calculates the ready date (the earliest date the app thinks the next question from the layer should be asked - so that the learner will still be able to remember the feedback and layer for) and calculates the overdue date (the date the app would like the next question from the layer to be asked by - so the learner won’t have forgotten the feedback and how to answer questions within the layer)
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