AdaptivStudy · one of three study modes

Recall

the practice mode, built on active recall

Answer real questions in waves; each one retires only once it truly sticks.

See what makes it different

What is active recall?

Active recall, also called retrieval practice, is a learning method where you actively retrieve an answer from memory instead of passively re-reading it, which builds a stronger, more durable memory trace than review alone.

Recall drills your set's practice questions (multiple choice, true or false, fill in the blank, select all that apply, and ordering), never flashcards. It runs them in waves, and a question leaves the rotation only after you answer it correctly enough times in a row, so your effort concentrates on whatever has not stuck yet.

How does Recall use active recall?

Questions, not cards

Recall works on your set's questions: multiple choice, true or false, fill in the blank, select all that apply, and ordering. You answer from memory with the on-screen input and confirm it. There is no card to flip; that is Retain's format.

Waves inside levels

Questions run in waves within Bloom-banded levels. Each pass narrows the pool as questions retire, so the rotation steadily shrinks down to whatever still needs work.

Retire-on-streak

A question retires after a set number of correct answers in a row, and you choose how strict: 1 of 1, 2 of 2, or 3 of 3. At 2/2 or 3/3, a single lucky guess will not retire it.

Confidence tracking

Each question carries a confidence value from 0 to 100 that rises and falls with your answers, giving the wave a sense of how close each question is to retiring.

Resume exactly

Stop mid-wave and come back later. The exact wave order is saved after every answer, so you return to the same place in the same order, with no re-shuffle.

Why does active recall work?

Active recall works because retrieving information from memory strengthens it more than rereading does, an effect researchers call the testing effect. In a classic 2006 experiment, students who read a prose passage once and then took three written recall tests on it remembered 61% of it a week later, while students who reread the same passage four times without testing remembered only 40% (Roediger and Karpicke, Psychological Science, 2006). That study used written recall, but the benefit is not tied to one format: a meta-analysis of 159 comparisons found that answering test questions reliably beats restudying (Rowland, Psychological Bulletin, 2014), and a review of 188 experiments found multiple-choice practice questions produced gains at least as large as short-answer ones (Adesope, Trevisan, and Sundararajan, Review of Educational Research, 2017). Recall's retire-on-streak design leans on a further finding: practicing each item until you have recalled it correctly to a set criterion, then proving it again in later sessions, is what makes retention durable (Rawson and Dunlosky, 2011).

See how all three modes fit together, and everything else inside AdaptivStudy, on our about page.

At a glance

Format
Questions, never flashcards
Structure
Waves inside Bloom-banded levels
Retirement
Consecutive-correct, default 2 of 2
Configurable
1/1 · 2/2 · 3/3
Confidence
0 to 100 per question
XP
+10 per retired question

Frequently asked questions

What kinds of questions does Recall use?

Multiple choice, true or false, fill in the blank, select all that apply, and ordering. Recall never uses flashcards, which are Retain's format. Every Recall item asks you to produce or select an answer from memory and then confirm it, so you are practicing retrieval, not reading.

Is active recall better than re-reading notes?

For long-term retention, yes. Re-reading feels productive because the material feels familiar, but that familiarity does not predict how well you can recall it later. Retrieval practice, answering a question from memory, consistently outperforms passive re-reading in controlled studies, an effect known as the testing effect.

What is the testing effect?

The testing effect is the finding that retrieving information from memory, such as answering a practice question, produces stronger and more durable learning than simply restudying the same information. It holds across question formats: recall-style questions show the largest gains in meta-analyses, and multiple-choice questions also produce reliable, durable benefits over rereading. Recall's retire-on-streak design leans on it directly: every question is answered from memory, and it retires only after you get it right enough times in a row.

How does Recall know when a question is truly learned?

A question retires only once you have answered it correctly a set number of times in a row, configurable as 1/1, 2/2, or 3/3. Requiring a streak instead of a single correct answer filters out lucky guesses, so retirement reflects real recall.

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