Insights, tutorials, and updates from the GenAI team
SM-20 is better than ordinary spaced repetition algorithms because it is built for one difficult task: predicting the right review moment for a specific learner, a specific item, and a specific memory state. It is not a fixed interval system. It is not a simple flashcard timer. It is a next-generation SuperMemo algorithm designed to […]
A spaced repetition algorithm decides when a learner should review a piece of information again. Its goal is simple: show the right item at the right time, before it is forgotten, but not so often that learning becomes inefficient. This timing makes a flashcard app, language platform, exam tool, or corporate training system much more effective than a simple list of exercises.
A good flashcard app is not just a digital stack of cards. It is a learning system that decides what the user should review, when they should see it again, and how quickly new knowledge can move into long-term memory. The interface may look simple, but the real value comes from the algorithm behind it.
Spaced repetition is a learning method that shows information again at the moment when the learner is close to forgetting it. Instead of reviewing everything every day, the system schedules each item at expanding intervals: first soon after learning, then after a longer break, and later only when memory needs another prompt. This makes study time more efficient, because attention goes to the material that actually needs practice.