How is practice adaptive?

The practice for each episode has a large pool of items (1000s!) that target the specific set of learning outcomes covered by the lesson. The next item a student sees is sampled from that pool algorithmically. That next item selected is most heavily impacted by: a prescribed ordering and separate weighting of the relevant learning outcomes, and then the individual student’s history of items seen, as well as his/her performance on those. 

There is also randomness purposefully built in to provide sufficient variety and to not make overly broad assumptions about what a student may or may not be able to do successfully, which also nicely provides a measure of retention.

If practice is adaptive and “infinite”, how does a student know when to stop?

We recommend students strive to continue practicing, even over multiple sessions, until their mastery bar reaches the Star marking proficiency, or beyond. 

However, reaching that level of mastery will certainly take different numbers of questions for different students, and Amplify Fractions offers smart, and friendly messaging to students not only when they have done well and are deemed ready to proceed to the next episode, but also when they appear to be struggling or stagnant. The program will suggest they take a break and come back with fresh eyes later, or seek out some additional help from the lesson or their teacher before continuing to do any more practice problems.

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