Wordsbee Method
Vocabulary learning that keeps score after the first win.
Wordsbee is built around a simple idea: a learner has not finished a word when they recognize it once. They finish when they can recall it today, next month, and much later when the word appears in real reading.
- 30 daysMaster
- 8 monthsRetained
- 16 monthsLegend
Every word keeps a learning state, so the next session is based on what the learner actually did, not a fixed checklist.
The path to long-term recall
Master
Reach 100% on the active program
about 1 month
The first goal is controlled coverage: every word in the program is seen, practiced, and answered correctly enough times to move out of active learning.
Retained
Review before the word fades
next 8 months
Wordsbee schedules revision after mastery so difficult words return at the right time. The objective is not a streak; it is durable recall.
Legend
Keep command over the full set
another 8 months
The final stage is long-term maintenance. Words appear less often, but the app still tracks whether the learner can recall them after time has passed.
What the algorithm tracks
Wordsbee stores progress at the meaning, word, collection, and program level. That matters because vocabulary learning is not just “did the student open the page?” The system needs to know what they saw, what they answered, and what should come back later.
- Which definition was last viewed
- Which example was last viewed
- Quiz attempts and retries
- Words answered correctly
- Words due for review
- Collection and program progress
SAT vocabulary is the first program, not the limit.
The same learning engine can support future Wordsbee programs. SAT vocabulary is starting with curated collections, multiple definitions, examples, and quizzes; the tracking model is designed so new programs can use the same mastery path.