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Questions from these layers will be scheduled by the timely practice app . according to the retrieval practice cycle
The app, ideally, waits for between ready and overdue number of days between one practice and the next.
The purpose is to embed the learning more deeply into the learners long term memory rather than allow forgetting to happen.
The diagram below shows the layers learning within timely practice cycle
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The retrieval practice cycle is as follows from the teacher and learner perspective:
the teacher creates a timely practice assignment - which asks the learner a questions on some layers (chosen by the app) from the ready layers,
the learner completes the assignment - asking for help if they need it,
the teacher assess the assignment,
etc
The retrieval practice cycle is as follows from the timely practice app and layers perspective:First the teacher assess a question from a layer,
if the question is answered independently and accurately the app increases the interval;
if the question is answered but needs 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 ;
The layers in the retrieval practice pool wait until they are chosen to go into a timely practice assignment again.
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
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| title | what happens when the interval (wait between one question and the next) is decreased |
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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
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