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How to Build Study Techniques and a Study Plan

Table of Contents

  • The Techniques Worth Using

  • Techniques that Don't Hold Up as Well

  • Common Misconceptions About Studying

  • Applying these Techniques by Subject Type

  • Why a Study Plan Matters More Than Technique

  • StudySim: Turn Your Own Material Into a Plan

  • A Basic Plan Template

  • FAQ

Most study advice repeats the same handful of tips without explaining why they work, how strong the evidence actually is, or how to build them into a routine instead of a list you read once and forget. The clearest research on this comes from a 2013 review by cognitive scientist John Dunlosky and colleagues at Kent State University, published in Psychological Science in the Public Interest, which evaluated ten common study techniques against actual evidence rather than intuition or tradition.

A 2021 meta-analysis in Frontiers in Education reanalyzed the same ten techniques with a larger set of studies and reached largely the same conclusions, which is part of why this review has held up as the standard reference point for over a decade. Below is what the research actually supports, in the researchers' own tiers of high, moderate, and low utility, followed by a practical way to build the strongest techniques into a plan using StudySim's study guide, notecard, quiz, and podcast tools.

Chart ranking study techniques by research effectiveness into high, moderate, and low utility tiers

The Techniques Worth Using

1. Practice Testing (Active Recall)

Instead of re-reading notes, which feels productive but builds weak, passive familiarity, active recall means closing the material and trying to retrieve it from memory: answering a flashcard, explaining a concept out loud, or taking a practice quiz. Dunlosky's review rated this technique, which researchers call "practice testing," as having the highest utility of everything studied, alongside distributed practice below. The effect holds across ages, subjects, and even different types of tests, which is part of why it earned the strongest rating of the ten techniques reviewed rather than a qualified or context-dependent one.

Testing yourself early, before you feel ready, is part of the same technique: it surfaces exactly what you don't know while there's still time to fix it, instead of finding the gap during the actual exam. This is the exact mechanism behind flashcards and practice quizzes, which is why tools like StudySim's notecards and quizzes are built around retrieval rather than just presenting a summary to reread.

2. Distributed Practice (Spaced Repetition)

Reviewing material once and then again right before the exam is far less effective than spacing reviews out over days or weeks, with each review timed to happen right around when you'd otherwise start forgetting. This is why cramming produces short-term recognition but poor long-term retention: the information was never encoded strongly enough to survive the gap between studying and testing. Distributed practice was rated alongside practice testing as the strongest-evidence technique in Dunlosky's review, and it compounds well with active recall: spacing out retrieval attempts, rather than spacing out re-reading, is where the research shows the biggest effect. A StudySim notecard deck or quiz generated once from your own material can be reused across several spaced sessions rather than needing to be rebuilt each time, which is closer to how the research actually recommends using it.

3. Elaborative Interrogation

This technique means asking yourself "why" a fact or concept is true, then generating your own explanation rather than accepting the fact as given. Dunlosky's review rated it moderate utility: the effect is real and generalizes reasonably well across subjects and age groups, but it works best when you already have some baseline knowledge to connect the new fact to, and the explanation has to come from you rather than being handed to you by a textbook or an instructor. A useful pairing here is prior knowledge plus a "why" prompt: after learning a new concept from a study guide, pausing to ask why it's true, or why it follows from something you already knew, adds a layer of processing that straight retrieval alone doesn't.

4. Self-explanation

Closely related to elaborative interrogation, self-explanation means talking through how new information connects to what you already know, or narrating the steps you took to reach an answer while solving a problem. Dunlosky's review also rated this moderate utility, with evidence that it works across a range of subjects and age groups, though it can take more time to implement well and may benefit from some upfront guidance on what a good self-explanation actually looks like. In practice, this looks like pausing after each notecard or quiz question, correct or not, and explaining out loud why the answer is what it is, not just confirming whether you got it right.

5. Interleaving

Instead of drilling one topic exhaustively before moving to the next, mixing related topics or problem types within a single study session forces you to actually identify which method or concept applies, rather than just repeating the same motion. It's worth being accurate about where this ranks: Dunlosky's review rated interleaved practice as moderate utility, not in the same top tier as active recall and spaced practice, useful and evidence-backed, but with less consistent support across different subjects and study conditions. The strongest evidence for interleaving specifically comes from math and problem-solving domains, where mixing problem types more closely resembles what an actual exam looks like than blocked, single-type practice does.

6. The Pomodoro Technique

Working in focused blocks, typically 25 minutes, followed by a short break, keeps attention from degrading over a long study session and makes starting feel less daunting than committing to "study for three hours." It's worth noting this is a different category of technique than the five above: Pomodoro is a focus and time-management method, not one of the memory-encoding techniques Dunlosky's review evaluated, so it pairs well with active recall and spacing rather than competing with them for the same job. A useful way to think about it: Pomodoro controls whether you sit down and do the studying at all; the techniques above control how effective that time actually is once you do.

Techniques That Don't Hold Up as Well

Highlighting and re-reading feel productive but were both rated low utility in Dunlosky's review, and the 2021 Frontiers meta-analysis reached the same conclusion with a larger set of studies. Two other commonly used techniques, summarization and the keyword mnemonic, also landed in the low-utility tier. None of these are useless as a first pass through unfamiliar material, understanding what you're reading has to come before you can test yourself on it, but they shouldn't be the technique you rely on for actual review before an exam. The pattern across all four low-utility techniques is similar: they feel like studying because they keep you in contact with the material, but they don't require the kind of effortful retrieval that the higher-rated techniques do.

Common Misconceptions About Studying

A few beliefs about studying persist despite running against the research above:

  • "If it feels hard, I'm doing it wrong." The opposite is closer to true. Difficulty during retrieval, sometimes called desirable difficulty in the research, is part of what makes practice testing and spaced practice effective. Easy, fluent review (like re-reading) feels better in the moment but produces weaker retention.

  • "Rereading a chapter twice is basically the same as testing myself on it." Rereading produces familiarity with the material, which can feel like knowledge but isn't the same as being able to retrieve it without prompts. The research consistently separates these two outcomes.

  • "Highlighting helps me remember what's important." It can help you identify what's important on a first pass, but the act of highlighting itself has weak evidence for improving retention, per Dunlosky's review.

  • "Cramming the night before is fine if I'm disciplined about it." Cramming can produce decent short-term recognition, enough to pass a quiz the next morning, but distributed practice research consistently shows that information studied in one massed session decays faster than information reviewed in spaced sessions.

  • "I just need to find my learning style (visual, auditory, etc.) and study that way." The idea that matching study material to a fixed personal "learning style" improves outcomes has been tested repeatedly and hasn't held up well in controlled studies, even though it remains a popular belief. The techniques in this article generalized across learners in Dunlosky's review regardless of a self-reported learning style, which is a large part of why they're recommended broadly rather than as a menu to pick from based on personal preference.

Applying These Techniques by Subject Type

The research above doesn't recommend the exact same mix for every subject, and the Frontiers meta-analysis specifically notes that some techniques generalize better to certain kinds of material than others.

For fact-heavy subjects (vocabulary, anatomy, historical dates, legal terms): practice testing and distributed practice do most of the work. Flashcard-style retrieval is a close match for how the material is structured, one fact or term to one answer, so a notecard deck reviewed on a spaced schedule tends to be enough on its own, with elaborative interrogation layered in for facts that are easy to confuse with each other.

For math and problem-solving subjects: interleaving earns its keep here more than almost anywhere else, since the Frontiers review specifically found its strongest evidence in math classes, where mixing problem types forces you to identify which method applies before you can even start solving, closer to what an exam actually demands than working twenty of the same problem type in a row. Self-explanation, narrating your steps as you solve, also has stronger backing here than in purely factual subjects.

For conceptual or theory-heavy subjects (philosophy, upper-level science, systems-based material): elaborative interrogation and self-explanation tend to matter more relative to plain retrieval, since the goal is understanding how ideas connect rather than recalling isolated facts. A study guide that organizes concepts by relationship, rather than a flat list, is a better first-pass format here than for a vocabulary-heavy course.

Across all three, the same two techniques, practice testing and distributed practice, remain the foundation; the moderate-utility techniques are where the mix should shift based on what you're actually studying.

Why a Study Plan Matters More Than Technique

Knowing that active recall and spaced practice work doesn't help much if there's no plan for actually spacing the reviews out. A study planner's job is to turn "I should review this using spaced repetition" into specific sessions on specific days, since intentions to review "sometime before the exam" tend to collapse into a single cram session as the deadline gets closer.

A workable study plan generally needs three things:

  1. A first-pass format to get through new material: a study guide or summary, not just the raw textbook or lecture notes.

  2. A retrieval format for active recall: flashcards or practice questions, not passive re-reading.

  3. A schedule that spaces those retrieval sessions out over the days or weeks before the exam, rather than compressing them into the night before.

Most students have the raw material (PDFs, lecture notes, slides) but building the first two pieces by hand, writing a study guide, making flashcards, drafting a quiz, is exactly the part that eats the time you meant to spend actually reviewing. That's less a discipline problem than a tooling problem: the research doesn't require you to write your own flashcards by hand for retrieval practice to work, it just requires that retrieval actually happens.

StudySim: Turn your own material into a plan

StudySim is built around that gap. You create a study space for a class, unit, or exam, add your sources (PDFs, lecture notes, slides, audio, video, or a YouTube link), and generate:

  • A study guide for the first-pass read-through, organized into sections with key concepts.

  • Notecards for active recall, with a configurable card count.

  • A practice quiz with adjustable length, question types, difficulty, and timing, for self-testing.

  • A two-speaker podcast version of the material, with selectable host voices and length, useful for a spaced review session that doesn't require sitting at a screen: reviewing while commuting or walking, for example.

Every one of the four can run on one-click defaults if you don't want to configure anything. Because all four come from the same uploaded sources, building a spaced schedule is a matter of deciding when to do each review, not rebuilding the material every time. StudySim's site lists students at Harvard, Stanford, MIT, Princeton, Yale, Columbia, Penn, Cornell, Berkeley, and UCLA among its users.

StudySim.ai dashboard

One limitation worth being upfront about: StudySim generates the study material itself, guide, flashcards, quiz, podcast, but it doesn't currently build the calendar schedule around them. Spacing the reviews out over specific days is still something you set up yourself, using the plan template below or a calendar app.

A Basic Plan Template

This template maps directly onto the two highest-evidence techniques above: the early study guide pass gets you familiar with the material once, and everything after that is spaced retrieval practice rather than more re-reading.

  • 1-2 weeks out: First pass through a study guide generated from your notes and readings.

  • 1 week out: Build a notecard deck and start active recall sessions, a few minutes at a time, spaced across several days rather than one long session. Pair this with elaborative interrogation or self-explanation: after each card, take a few seconds to explain why the answer is correct, not just whether you got it right.

  • 3-4 days out: Take a practice quiz to identify weak spots.

  • 1-2 days out: Second quiz or a podcast review focused on whatever the first quiz revealed you were weak on. If the subject involves mixed problem types (math, science, coding), interleave them here rather than reviewing one problem type at a time.

  • Day before: Light review only: recall practice, not new material.

Once you've built a study guide and notecards for one exam this way, start a study space free and apply the same template to the next one.

FAQ

Which study technique is most effective?

Practice testing (active recall) and distributed practice (spaced repetition) have the strongest research support, per Dunlosky et al.'s 2013 review and the 2021 Frontiers meta-analysis that reexamined the same techniques. Elaborative interrogation, self-explanation, and interleaving have moderate support. Re-reading, highlighting, summarization, and the keyword mnemonic were all rated low utility in the same research, useful as a first pass through new material, but weak for actual review.

How far in advance should I start studying for an exam?

Spacing reviews over one to two weeks generally outperforms cramming the material into one or two long sessions right before the exam, consistent with the research on distributed practice.

Is the Pomodoro technique backed by the same research as active recall?

No, and it's worth being clear about that distinction. Pomodoro is a focus and time-management method; active recall and spaced repetition are memory-encoding techniques studied directly in the cognitive science research above. They solve different problems and work well together, but they're not the same kind of technique.

What's the difference between elaborative interrogation and self-explanation?

They're closely related. Elaborative interrogation means asking yourself why a specific fact is true and generating an explanation. Self-explanation is broader: explaining how new information connects to what you already know, or narrating your own reasoning while solving a problem. Both were rated moderate utility in Dunlosky's review, and both work best when you generate the explanation yourself rather than reading one someone else wrote.

Can StudySim generate a study plan for me?

StudySim generates study guides, notecards, quizzes, and podcasts from your own uploaded material, which you can schedule into a spaced review plan using the template above; it doesn't currently generate the calendar schedule itself.

Should I skip interleaving since it's rated lower than active recall and spacing?

Not necessarily. Moderate utility still means the research supports it, just with less consistency across subjects than the two highest-rated techniques. A practical approach: build a study plan around active recall and spaced practice first, since those have the strongest evidence, and layer in interleaving, mixing problem types within a single session, once the core schedule is in place, rather than treating it as optional filler.

Do these techniques work the same way for every subject?

The two highest-rated techniques, practice testing and distributed practice, generalize well across subjects. The moderate-utility techniques are where it's worth adjusting: interleaving has its strongest evidence in math and problem-solving subjects, while elaborative interrogation and self-explanation tend to matter more in conceptual or theory-heavy material where understanding how ideas connect is the actual goal, not just recalling isolated facts.

Nicole Harttman, Ph.D.
About the author
Nicole Harttman, Ph.D.
Nicole Harttman, PH.D.
Nicole is a linguist with a Ph.D. in Linguistics. She explores the subtle ways language influences thought, culture, and human connection, with particular attention to large language models and how AI systems interpret and produce human language. She translates complex ideas into clear, engaging writing for a wide audience.

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