spaced-repetition

You can implement a spaced repetition algorithm for flashcards by modifying the SPACED_REPETITION_INTERVALS constant to adjust review scheduling logic and track learning progress within the provided scripts.

A spaced repetition review system calculates memory retention intervals by tracking flashcard states and review history in a database schema, then adjusting future review dates based on the modified interval constants.

Yes, you can customize review scheduling intervals for your study material by modifying the SPACED_REPETITION_INTERVALS constant in the source code to match your desired memory retention frequency.

Yes, you need a database schema to track flashcard review history because the system integrates with database structures to store flashcard states and log learning progress for the interval calculations.

The best way to test spaced repetition logic for educational content is using the included scripts and references to facilitate understanding, modification, and testing of the review scheduling and interval calculations.

Modifying spaced repetition intervals affects learning progress tracking because the algorithm relies on these constants to schedule optimal review timings, directly altering how mastered content is revisited for retention.