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Guidebook

Education

What the research says, in six sections, with every claim resting on at least five peer-reviewed sources and every paper linked.

In short

  • Showing up is the strongest single predictor of grades in the pooled studies, ahead of admission scores and study skills.
  • Believing you can do the work and keeping going when it is dull predict university grades more than any personality trait.
  • Procrastination is nearly universal and measurably costs grades; it is a self-regulation problem, and if-then plans with mental contrasting reduce it.
  • Feedback works when it says where you are, where you are going and what to do next; a grade alone is the weakest kind.
  • Sleep, timing and a manageable load are academic variables: irregular sleep alone delayed students' body clocks by hours and lowered their marks.

Fundamentals

What predicts grades, what feedback is for, and why sleep is on the syllabus.

The short list of what predicts grades comes first, because it decides where effort goes. Feedback follows, since it is how a student learns where they stand, and sleep closes the section because it turns out to be an academic variable rather than a lifestyle one.

What predicts grades

The largest pooled analyses of what predicts university grades agree on a short list. Class attendance is the strongest single predictor, stronger than admission tests or school grades. Performance self-efficacy, the belief that you can do the work, effort regulation, the ability to keep working when it is dull, and the grade you are aiming for follow it. Study skills and habits contribute a moderate, separate share. Personality traits other than conscientiousness matter little.

Sources for this passage: 12345

Feedback and how to use it

Feedback is among the most powerful influences on achievement, and among the most variable. The kind that works answers three questions: where am I going, how am I doing, and what next. Grades without those answers do little, and praise does less. The best feedback is often self-generated: a closed-book test tells you what you know far more honestly than the feeling at the end of a reading session, which is inflated.

Sources for this passage: 678910

Sleep and timing are academic variables

Students who slept irregularly had body clocks delayed by nearly three hours and lower grades than regular sleepers who slept the same total. Among students at a demanding university, sleep duration, quality and consistency in the weeks before exams explained around a quarter of the variance in results. Sleepiness is one of the most common reasons students fall behind, sleep consolidates what was learned that day, and chronic short sleep degrades attention without the student noticing.

Sources for this passage: 1112131415

Why it matters

Attendance, procrastination and the ideas that are smaller than advertised.

Attendance is cheap and large; procrastination is common and costly; grit and mindset are real and small. The three blocks put numbers on each so that the term's effort lands where it pays.

Attendance, in numbers

Attendance correlates with grades at around point four across the pooled studies, and mandatory attendance policies raise average grades. The reason is not only exposure: classes that use active learning raised exam scores by about six per cent and cut failure rates by more than a third compared with lecturing, and none of that reaches the empty seat. Attending is the cheapest academic intervention available to a student.

Sources for this passage: 151632

Procrastination costs

Around four in five students procrastinate, and it costs: across pooled studies, procrastination correlates negatively with grades, most strongly when performance is measured objectively. Its roots are task aversiveness, distance of the deadline and low confidence, not laziness. Time-management practice is associated with better performance and, more strongly, with lower stress and better wellbeing. Adolescents taught to contrast their goal with its obstacles and to make if-then plans completed more practice work.

Sources for this passage: 171819220

Mindset and grit, in proportion

Two ideas dominate advice about school, and both are smaller than advertised. Growth-mindset beliefs correlate weakly with achievement, and interventions have small effects concentrated in lower-achieving students; in a national trial, a short online programme raised the grades of lower-achieving students by a tenth of a grade point. Grit predicts success, but largely because it overlaps with conscientiousness, and its perseverance facet is the useful part. Effort regulation, the plain ability to keep working, is the better-supported target.

Sources for this passage: 212223242

How to improve

Four changes a student can make this term.

Go, and go prepared; plan the term rather than the night; keep the load humane; and study the way the evidence says. The first three make room for the fourth, which the Learning tab's guidebook covers in detail.

Go, and go prepared

Attend everything you can, and treat lectures as retrieval opportunities rather than transcription: read before, test yourself after, and use the questions in class. Active learning is where the gains are, so participate where the format allows. Ask for feedback on where you are relative to the goal and what to do next, not just a mark.

Sources for this passage: 116675

Plan the term, not the night

Put deadlines, exams and the spaced review sessions they need into the calendar at the start of the term, so that spacing is scheduled rather than hoped for. Make if-then plans for the moments procrastination starts: when the lecture ends, I go to the library. Mental contrasting, picturing the result and then the obstacle, made those plans work for students. Time-management practice helps grades a little and stress a lot.

Sources for this passage: 1917252026

Keep the load humane

Overload shows up first as short sleep and slipping attendance, then as grades. The tab flags more than six active classes because the pooled evidence links effort regulation and manageable demands with results, and sleep loss and procrastination with their loss. Dropping a class in time is a planning decision, not a failure.

Sources for this passage: 219131117

Study like the evidence says

The Studying tab's guidebook covers the techniques in detail; the short version is self-testing, spacing and interleaving, with sleep between sessions, and no rereading marathons. Practice testing and distributed practice are the two techniques rated highest in the learning-science review, and they are what turn attendance into grades.

Sources for this passage: 78272829

Common pitfalls

The three habits that lose a term.

Skipping the dull classes, the all-nighter and waiting to feel ready each remove the thing the previous section relied on: the room, the sleep and the start. The fixes are structural, not motivational.

Skipping the boring classes

The classes that feel skippable are the ones where attendance does its quiet work, because the exam questions and the emphasis live in the room. Attendance is the strongest predictor in the pooled data regardless of how interesting the class was rated, and active-learning sessions in particular cannot be recovered from notes.

Sources for this passage: 116532

The all-nighter

A night without sleep before an exam loses the consolidation of everything studied that day and blunts attention for the exam itself; two weeks of short nights leaves a student as impaired as one full night awake. Irregular sleep in term time delayed students' body clocks by hours and lowered their grades. Sleep is the last thing to cut, not the first.

Sources for this passage: 1311151412

Waiting to feel ready

Procrastination is driven by how a task feels now, not by its importance. The fix is structural: a fixed start cue, a small first step, and a plan for the obstacle. If-then plans and mental contrasting reduced it in students, and time-management practice reduces the stress that feeds it. Feeling ready arrives after starting, not before.

Sources for this passage: 1718252019

Myths

Ideas about school that the evidence cuts down to size.

Grit, mindset and talent each make a large claim; the pooled data give each a smaller answer than advertised and hand the large effects back to attendance, self-efficacy and effort. That is good news, because those are the ones a student controls.

Grit and mindset explain success

Both are real and both are small. Grit's predictive power comes mostly from conscientiousness, which was already known to matter, and mindset interventions move grades by a tenth of a point in the students who were struggling, and not at all in the rest. Neither replaces attendance, self-efficacy and effort regulation, the predictors with the largest pooled effects.

Sources for this passage: 242122232

Talent decides

Prior ability matters and it is not the whole story. The predictors a student controls, attendance, the belief they can do the work, effort regulation and study habits, carry large shares of the variance in grades, and teaching format moves results for everyone in the room. The lower-achieving students in the mindset trial were the ones who gained, which is the opposite of a fixed-talent story.

Sources for this passage: 1612322

Measuring progress

What the tab tracks and the signals to watch each week.

The tab keeps the grade, the plan and the load for each class, and the strip reacts when one slips. The second block names the three warnings that appear before a grade does, which is when a term can still be turned.

Grades, plans and load

The tab tracks the grade in each active class, whether each class has a term and an end date, and how many classes run at once. The strip reacts to grades below a B, to unplanned classes and to more than six in a term. Monitoring progress toward a goal raises the chance of reaching it, most when it is recorded, which is what the grade fields are for, and feedback only works when you know where you stand.

Sources for this passage: 2130196

Signals to watch each week

Missed classes, late nights and work started the day before it is due are the three earliest warnings, and each is visible before a grade drops. A weekly look at attendance, sleep and the calendar catches the term before the term catches you.

Sources for this passage: 11117618

Tips you may see in the app

The line under the tab picks one of these for your own numbers. Each rests on the same standard of evidence.

  • Attendance predicts grades more strongly than admission scores; go, even to the dull ones.Class attendance is the strongest single predictor of university grades in the pooled studies, ahead of admission tests and school grades, and active-learning classes cut failure rates by more than a third compared with lecturing.

    Sources for this passage: 151632

  • Ask for feedback that says where you are, where you are going and what to do next.Feedback is among the most powerful influences on achievement when it answers three questions, where am I going, how am I doing and what next; a mark alone does little and praise does less.

    Sources for this passage: 671098

  • Turn every lecture into a closed-book test afterwards; what you can retrieve shows up.Retrieval practice produced better retention than restudying in pooled analyses of hundreds of experiments; what you can pull out of memory with the notes closed is what shows up in the exam.

    Sources for this passage: 9873132

  • Put the exams and their spaced reviews in the calendar on day one; spacing is scheduled.The best gap between review sessions is about ten to twenty per cent of how long the material has to last, so the reviews an exam needs are known on day one; time-management practice helps grades a little and stress a lot.

    Sources for this passage: 262719257

  • An if-then plan for the moment procrastination starts: lecture ends, I go to the library.If-then plans that link a situation to a response roughly double follow-through in the pooled trials, and adolescents taught to contrast their goal with its obstacle and plan for it completed more practice work.

    Sources for this passage: 2520173318

  • Irregular sleep alone delayed students' body clocks by hours and lowered their marks.Students who slept irregularly had body clocks delayed by nearly three hours and lower grades than regular sleepers who slept the same total; a fixed wake time is an academic tool.

    Sources for this passage: 1211131415

  • Too many classes at once shows first in sleep and attendance; dropping one is planning.Overload shows up first as short sleep and slipping attendance, then as grades; the tab flags more than six active classes, and dropping one in time is a planning decision, not a failure.

    Sources for this passage: 219131117

Sources

Every study this guidebook rests on, in the order it is first cited.

  1. 1

    Credé M, Roch SG, Kieszczynka UM (2010). Class attendance in college: a meta-analytic review of the relationship of class attendance with grades and student characteristics. Review of Educational Research.

    Meta-analysisOpen the paper (doi:10.3102/0034654310362998)doi:10.3102/0034654310362998

  2. 2

    Richardson M, Abraham C, Bond R (2012). Psychological correlates of university students' academic performance: a systematic review and meta-analysis. Psychological Bulletin.

    Meta-analysisOpen the paper (doi:10.1037/a0026838)doi:10.1037/a0026838

  3. 3

    Robbins SB, Lauver K, Le H, Davis D, Langley R, Carlstrom A (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin.

    Meta-analysisOpen the paper (doi:10.1037/0033-2909.130.2.261)doi:10.1037/0033-2909.130.2.261

  4. 4

    Credé M, Kuncel NR (2008). Study habits, skills, and attitudes: the third pillar supporting collegiate academic performance. Perspectives on Psychological Science.

    Meta-analysisOpen the paper (doi:10.1111/j.1745-6924.2008.00089.x)doi:10.1111/j.1745-6924.2008.00089.x

  5. 5

    Schneider M, Preckel F (2017). Variables associated with achievement in higher education: a systematic review of meta-analyses. Psychological Bulletin.

    ReviewOpen the paper (doi:10.1037/bul0000098)doi:10.1037/bul0000098

  6. 6

    Hattie J, Timperley H (2007). The power of feedback. Review of Educational Research.

    ReviewOpen the paper (doi:10.3102/003465430298487)doi:10.3102/003465430298487

  7. 7

    Dunlosky J, Rawson KA, Marsh EJ, Nathan MJ, Willingham DT (2013). Improving students' learning with effective learning techniques: promising directions from cognitive and educational psychology. Psychological Science in the Public Interest.

    ReviewOpen the paper (doi:10.1177/1529100612453266)doi:10.1177/1529100612453266

  8. 8

    Adesope OO, Trevisan DA, Sundararajan N (2017). Rethinking the use of tests: a meta-analysis of practice testing. Review of Educational Research.

    Meta-analysisOpen the paper (doi:10.3102/0034654316689306)doi:10.3102/0034654316689306

  9. 9

    Roediger HL, Karpicke JD (2006). Test-enhanced learning: taking memory tests improves long-term retention. Psychological Science.

    TrialOpen the paper (doi:10.1111/j.1467-9280.2006.01693.x)doi:10.1111/j.1467-9280.2006.01693.x

  10. 10

    Koriat A, Bjork RA (2005). Illusions of competence in monitoring one's knowledge during study. Journal of Experimental Psychology: Learning, Memory, and Cognition.

    TrialOpen the paper (doi:10.1037/0278-7393.31.2.187)doi:10.1037/0278-7393.31.2.187

  11. 11

    Okano K, Kaczmarzyk JR, Dave N, Gabrieli JDE, Grossman JC (2019). Sleep quality, duration, and consistency are associated with better academic performance in college students. npj Science of Learning.

    StudyOpen the paper (doi:10.1038/s41539-019-0055-z)doi:10.1038/s41539-019-0055-z

  12. 12

    Phillips AJK, Clerx WM, O'Brien CS, et al. (2017). Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing. Scientific Reports.

    StudyOpen the paper (doi:10.1038/s41598-017-03171-4)doi:10.1038/s41598-017-03171-4

  13. 13

    Hershner SD, Chervin RD (2014). Causes and consequences of sleepiness among college students. Nature and Science of Sleep.

    ReviewOpen the paper (doi:10.2147/NSS.S62907)doi:10.2147/NSS.S62907

  14. 14

    Walker MP, Stickgold R (2004). Sleep-dependent learning and memory consolidation. Neuron.

    ReviewOpen the paper (doi:10.1016/j.neuron.2004.08.031)doi:10.1016/j.neuron.2004.08.031

  15. 15

    Van Dongen HPA, Maislin G, Mullington JM, Dinges DF (2003). The cumulative cost of additional wakefulness: dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. Sleep.

    TrialOpen the paper (doi:10.1093/sleep/26.2.117)doi:10.1093/sleep/26.2.117

  16. 16

    Freeman S, Eddy SL, McDonough M, et al. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences.

    Meta-analysisOpen the paper (doi:10.1073/pnas.1319030111)doi:10.1073/pnas.1319030111

  17. 17

    Steel P (2007). The nature of procrastination: a meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin.

    Meta-analysisOpen the paper (doi:10.1037/0033-2909.133.1.65)doi:10.1037/0033-2909.133.1.65

  18. 18

    Kim KR, Seo EH (2015). The relationship between procrastination and academic performance: a meta-analysis. Personality and Individual Differences.

    Meta-analysisOpen the paper (doi:10.1016/j.paid.2015.02.038)doi:10.1016/j.paid.2015.02.038

  19. 19

    Aeon B, Faber A, Panaccio A (2021). Does time management work? A meta-analysis. PLOS ONE.

    Meta-analysisOpen the paper (doi:10.1371/journal.pone.0245066)doi:10.1371/journal.pone.0245066

  20. 20

    Duckworth AL, Grant H, Loew B, Oettingen G, Gollwitzer PM (2011). Self-regulation strategies improve self-discipline in adolescents: benefits of mental contrasting and implementation intentions. Educational Psychology.

    TrialOpen the paper (doi:10.1080/01443410.2010.506003)doi:10.1080/01443410.2010.506003

  21. 21

    Sisk VF, Burgoyne AP, Sun J, Butler JL, Macnamara BN (2018). To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses. Psychological Science.

    Meta-analysisOpen the paper (doi:10.1177/0956797617739704)doi:10.1177/0956797617739704

  22. 22

    Yeager DS, Hanselman P, Walton GM, et al. (2019). A national experiment reveals where a growth mindset improves achievement. Nature.

    TrialOpen the paper (doi:10.1038/s41586-019-1466-y)doi:10.1038/s41586-019-1466-y

  23. 23

    Duckworth AL, Peterson C, Matthews MD, Kelly DR (2007). Grit: perseverance and passion for long-term goals. Journal of Personality and Social Psychology.

    StudyOpen the paper (doi:10.1037/0022-3514.92.6.1087)doi:10.1037/0022-3514.92.6.1087

  24. 24

    Credé M, Tynan MC, Harms PD (2017). Much ado about grit: a meta-analytic synthesis of the grit literature. Journal of Personality and Social Psychology.

    Meta-analysisOpen the paper (doi:10.1037/pspp0000102)doi:10.1037/pspp0000102

  25. 25

    Gollwitzer PM, Sheeran P (2006). Implementation intentions and goal achievement: a meta-analysis of effects and processes. Advances in Experimental Social Psychology.

    Meta-analysisOpen the paper (doi:10.1016/S0065-2601(06)38002-1)doi:10.1016/S0065-2601(06)38002-1

  26. 26

    Cepeda NJ, Vul E, Rohrer D, Wixted JT, Pashler H (2008). Spacing effects in learning: a temporal ridgeline of optimal retention. Psychological Science.

    TrialOpen the paper (doi:10.1111/j.1467-9280.2008.02209.x)doi:10.1111/j.1467-9280.2008.02209.x

  27. 27

    Cepeda NJ, Pashler H, Vul E, Wixted JT, Rohrer D (2006). Distributed practice in verbal recall tasks: a review and quantitative synthesis. Psychological Bulletin.

    Meta-analysisOpen the paper (doi:10.1037/0033-2909.132.3.354)doi:10.1037/0033-2909.132.3.354

  28. 28

    Rohrer D, Taylor K (2007). The shuffling of mathematics problems improves learning. Instructional Science.

    TrialOpen the paper (doi:10.1007/s11251-007-9015-8)doi:10.1007/s11251-007-9015-8

  29. 29

    Mazza S, Gerbier E, Gustin MP, et al. (2016). Relearn faster and retain longer: along with practice, sleep makes perfect. Psychological Science.

    TrialOpen the paper (doi:10.1177/0956797616659930)doi:10.1177/0956797616659930

  30. 30

    Harkin B, Webb TL, Chang BPI, Prestwich A, Conner M, Kellar I, Benn Y, Sheeran P (2016). Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence. Psychological Bulletin.

    Meta-analysisOpen the paper (doi:10.1037/bul0000025)doi:10.1037/bul0000025

  31. 31

    Karpicke JD, Blunt JR (2011). Retrieval practice produces more learning than elaborative studying with concept mapping. Science.

    TrialOpen the paper (doi:10.1126/science.1199327)doi:10.1126/science.1199327

  32. 32

    Rowland CA (2014). The effect of testing versus restudy on retention: a meta-analytic review of the testing effect. Psychological Bulletin.

    Meta-analysisOpen the paper (doi:10.1037/a0037559)doi:10.1037/a0037559

  33. 33

    Oettingen G (2012). Future thought and behaviour change. European Review of Social Psychology.

    ReviewOpen the paper (doi:10.1080/10463283.2011.643698)doi:10.1080/10463283.2011.643698

This summarises research for healthy adults. It is not medical advice and does not replace a professional.