The Best Way to Study for Nursing School, According to Learning Science

“How should I study for nursing school?” has a better evidence base than most study advice suggests. Across learning research, retrieval practice and distributed practice repeatedly outperform another pass of passive review. The size of the benefit varies by learner, material, feedback, and schedule, so this is a practical synthesis—not a claim that one routine is universally best.

First, the bad news about your highlighter

The most-cited review of study techniques — Dunlosky and colleagues (2013), in Psychological Science in the Public Interest — graded ten common methods on the evidence. Rereading, highlighting, and summarizing landed at low utility. The two winners, by a wide margin: practice testing and distributed (spaced) practice. That finding would reorganize almost every nursing student’s week if they believed it, so let’s look at the evidence and its limits.

Rereading fails because familiarity masquerades as knowledge. The third pass through a chapter feels easier, and your brain reads that ease as “I know this” — but recognizing content on a page and producing it in a blank-stem exam question are different skills, and only one of them is on the NCLEX.

Finding 1: Testing yourself IS the studying

In the classic experiment (Roediger & Karpicke, 2006, Psychological Science), students who studied a passage once and then repeatedly tested themselves on it remembered substantially more a week later than students who spent the same time repeatedly re-studying it — even though the re-studiers felt more confident. Karpicke and Blunt (2011, Science) pushed it further: retrieval practice beat concept mapping, the darling of active-learning workshops, on both fact recall and inference. A 2017 meta-analysis (Adesope et al., Review of Educational Research) confirmed the pattern holds across ages, materials, and test formats.

The mechanism matters for how you apply it: the act of pulling a fact out of your head strengthens the memory — including when you pull wrong and then see the answer. Questions are not how you check whether studying worked. Questions are the studying. We build the entire app around this finding.

Finding 2: When you review matters as much as whether

Memory becomes less accessible with delay, and successful later retrieval can strengthen access again. One well-supported response is spacing: Cepeda and colleagues’ (2006) large quantitative synthesis in Psychological Bulletin found distributed practice reliably beats massed practice — cramming — for retention. The useful gap depends on how long the learner needs to retain the material; the literature supports distributed review more strongly than any universal sequence of exact intervals.

Nobody can run this schedule by hand across 550 clinical concepts. It is a bookkeeping problem, which is why it is the one part of studying you should actually outsource to software — here is how our scheduler runs it.

Finding 3: Mix it up, even though it feels worse

Blocked practice — forty cardiac questions in a row — feels smooth and productive. Interleaved practice — cardiac mixed with renal and endocrine — feels harder and scores worse during practice, then wins on the delayed test (Rohrer & Taylor, 2007). The reason is diagnostic: when every question is cardiac, you never practice the exam’s real first step, which is figuring out what kind of problem this is. The Bjorks call this family of effects “desirable difficulties” (Bjork & Bjork, 2011): conditions that slow you down today and pay out on test day.

Finding 4: Difficulty should be challenging and achievable

Difficulty is desirable in a window, not without limit. A 2019 Nature Communications paper on the “Eighty Five Percent Rule” derived an approximately 85% optimum for particular classification-learning models and tasks. It was not a nursing-student trial, so 85% is not a magic NCLEX target. The useful takeaway is narrower: challenge should still provide enough successful, informative attempts for learning to progress. This is why starting at full NCLEX difficulty in week one is a science error, not a badge of honor — and why practice should adapt to you, per topic, as you climb.

Finding 5: Feedback teaches — if it explains

Feedback is among the strongest influences on learning that education research has measured (Hattie & Timperley, 2007), but the kind matters: “correct/incorrect” alone is weak. What moves you is knowing why the wrong answer was wrong — which, on a well-written question, means a rationale on the distractor you actually picked, read while your reasoning is still warm.

The method, assembled

1. Study as questions from minute one. First exposure can be a video or a quick read — then immediately into retrieval, not a fourth pass through the slides.
2. Small units, high reps. One fact per attempt beats one chapter per sitting. Thirty retrievals in ten minutes is a real session.
3. Let a scheduler own the calendar. You decide to show up; the spacing algorithm decides what’s due.
4. Interleave by default. Mixed practice daily; blocked practice only when first learning a topic.
5. Adjust difficulty from your performance. If nearly every item is a guess, step down and build the components; if nearly every item is automatic, step up. Treat 85% as design inspiration, not a validated nursing cutoff.
6. Read the rationale on every miss, especially the option you chose.
7. Measure weekly, adjust weekly. A CAT readiness exam tells you where next week’s minutes go.

You can run this method with index cards and discipline. Most students don’t — because the bookkeeping (what’s due, what difficulty, what’s weak) eats the study time. That bookkeeping is precisely what we automated: learning flows are findings 1–5 turned into a session that is already built when you open the app — retrieval-first cards, spaced returns, an adaptive difficulty ladder, and a rationale on every option. The science is public; the system just runs it for you. Here is the design-decision-by-design-decision mapping.

Direct evidence links

• Retrieval practice in nursing education: scoping review (25 studies)
• Distributed and retrieval practice in health professions education: systematic review
• Spaced digital education in health professions: systematic review and meta-analysis
• Practice testing meta-analysis (Adesope et al., 2017)

References

• Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques. Psychological Science in the Public Interest, 14(1), 4–58.
• Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255.
• Karpicke, J. D., & Blunt, J. R. (2011). Retrieval practice produces more learning than elaborative studying with concept mapping. Science, 331(6018), 772–775.
• Adesope, O. O., Trevisan, D. A., & Sumeracki, M. (2017). Rethinking the use of tests: A meta-analysis of practice testing. Review of Educational Research, 87(3), 659–701.
• Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354–380.
• Rohrer, D., & Taylor, K. (2007). The shuffling of mathematics problems improves learning. Instructional Science, 35(6), 481–498.
• Bjork, E. L., & Bjork, R. A. (2011). Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. In Psychology and the Real World (pp. 56–64). Worth Publishers.
• Wilson, R. C., Shenhav, A., Straccia, M., & Cohen, J. D. (2019). The Eighty Five Percent Rule for optimal learning. Nature Communications, 10, 4646.
• Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112.