Digital vs paper flashcards: which is better for you?

What both get right

A flashcard, on paper or on a screen, asks you to recall before you check. That's active recall, and it's what makes flashcards work. Neither format is magic; the habit is.

Flashcards are popular for good reason. In a 2012 study of 415 students in an introductory psychology course, Jonathan Golding and colleagues found that almost 70% used flashcards for at least one exam, and students who used them for all three exams scored significantly higher than those who didn't use them or used them only some of the time. That's a correlation, not proof, but it fits everything we know about retrieval practice.

Side by side

Does writing by hand help you remember?

Many people believe handwriting is better for memory, often citing a 2014 study by Pam Mueller and Daniel Oppenheimer titled “The pen is mightier than the keyboard”. Students who took lecture notes on laptops wrote down more words verbatim and did worse on conceptual questions than students who wrote by hand.

The finding hasn't held up well. In 2019, Kayla Morehead, John Dunlosky and Katherine Rawson replicated and extended it, and concluded that saying which method is better was premature; when students could review their notes before the test, the groups did equally well. In 2021, Heather Urry and colleagues ran a direct replication and a small meta-analysis of similar studies: laptop users again took more verbatim notes, but did no worse on the quiz, and the results “do not support the idea that longhand note taking improves immediate learning”.

Those studies were about taking notes, not making flashcards, but the lesson carries over. What helps is the thinking: choosing what matters and putting it in your own words. Producing an answer yourself beats reading it, a finding known as the generation effect, whether you use a pen or a keyboard. And the bigger benefit of flashcards comes later, from reviewing them, which is the same on paper and on screen.

How students actually use flashcards

The research on how students use flashcards on their own points to two habits that cost them, and both are easier to avoid with an app.

Reviewing in small stacks

In a 2009 study by Nate Kornell, students learned word pairs from flashcards either in one large stack, so each card came back after a long gap, or in four small stacks studied one after another. Spacing beat massing for 90% of the participants, yet after the first session 72% believed massing had worked better. A survey of 374 students by Kathryn Wissman, Katherine Rawson and Mary Pyc found the same blind spot: students understood that practising more helps, but not that longer gaps between practice help.

Dropping cards too early

Almost every student sets aside cards they think they know. In four experiments, Kornell and Robert Bjork found that being allowed to drop flashcards had small but consistently negative effects on learning: students dropped cards they hadn't really learned, and undervalued further practice. A paper deck makes dropping effortless; a scheduler brings every card back when it's due, however sure you felt.

Scheduling: the biggest difference

On paper, scheduling is up to you. The Leitner system is the classic method: boxes reviewed at growing intervals, cards moving up when you remember them. It works, but every card in a box gets the same gap, and a long deck means a lot of bookkeeping.

Apps give each card its own interval. FSRS, the algorithm FlashCardz uses, predicts when you're about to forget each card and schedules it just before. In our simulation of a year of reviews, it kept a 96% chance of recall at the end of the year with about ten reviews per card; Leitner boxes either needed 2.7 times as many reviews for similar recall, or let recall fall to 79% once cards left the last box.

Images, diagrams and big decks

For anatomy, histology, maps, charts and diagrams, the picture is the question. On paper, that means drawing or printing and cutting. Digital cards can use the figure straight from your lecture slides, and image occlusion hides one label at a time so you name each in turn.

Deck size is the other divide. A few hundred cards fit in a box; a medical or law course can mean thousands, built up over years. At that size, the time an app saves on scheduling, searching and carrying becomes the main argument. How many flashcards a day shows what large decks cost in daily reviews.

The phone problem

The best argument for paper is that it isn't a phone. Notifications interrupt, and one quick check can turn into twenty minutes. That part needs no study to prove.

A popular 2017 study by Adrian Ward and colleagues went further and claimed that the mere presence of your smartphone on the desk, even switched off, reduces your available cognitive capacity. A preregistered direct replication by Ana Cecilia Ruiz Pardo and John Paul Minda in 2022 found no such effect. So the phone on the table isn't draining your brain; what it does when it lights up is the problem.

• Turn on a focus mode or do-not-disturb while you study.
• Use a study app full screen, and keep other apps closed.
• If you can't resist the phone, study on a laptop or tablet, or use paper for that session.

When paper wins

• A small deck for one test: a few dozen cards, a week away.
• Subjects where drawing the card is part of learning it, such as a pathway or a structure.
• Study sessions where your phone is the problem.
• When you like the ritual: if it keeps you studying, it's working.

Use the Leitner system to schedule them, and keep the whole deck in one shuffled stack rather than small piles.

When digital wins

• Most university courses: hundreds of cards across several subjects, over months.
• Reviews that need scheduling around exam dates.
• Diagrams and images from your slides.
• Studying in short gaps: on the bus, between lectures.
• Checking an answer against its source when you're unsure.

A spaced repetition app keeps all of it in order, and an AI flashcard generator removes the hours of typing.

Moving from paper to an app

1. Keep the cards that matter: the hard ones and the ones you'll need for later courses.
2. Type them in, or import a spreadsheet of questions and answers.
3. For the rest of the course, let AI make cards from the same lecture slides instead of retyping your old ones.
4. Add the images: crop the figures from your slides rather than redrawing them.
5. Start reviewing every day; the app will space the old cards out quickly once you show you know them.

The best of both

Write your own cards for the topics you find hardest, since deciding what to write is part of learning them, and let AI draft the rest from your slides. Then let an algorithm schedule all of them, so nothing is dropped too early or reviewed too soon.

FlashCardz does both. Its card maker puts your PDF beside the card, keeps the page each card came from, crops images and makes image-occlusion cards, and is free on every plan. On Plus, AI writes cards from your own files, each quoting the line it came from. Every card is scheduled with FSRS, and you can import your Anki decks or a spreadsheet.