How to study in ways that actually work — using what science knows about memory, attention, and understanding to learn more in less time. Most students study hard but study badly. The research on effective learning is clear, widely available, and almost completely absent from classrooms. This changes that.
Learning how to learn at Early Years level is primarily about building the foundational beliefs about intelligence and effort that determine whether children engage productively with challenge. Carol Dweck's research on growth mindset — the belief that intelligence and ability can grow with effort, as opposed to a fixed mindset in which they are seen as permanent traits — is the most directly relevant body of research for this age group. Children as young as three and four already show fixed or growth mindset tendencies, largely shaped by the praise and feedback they receive. The most important pedagogical change a teacher can make is to praise the process rather than the outcome: not you are so clever but I can see how hard you worked on that, or you kept trying even when it was difficult. The second key idea for this age is that making mistakes is essential to learning — not a sign of failure but the necessary friction through which understanding grows. Classrooms where mistakes are treated as useful information rather than embarrassments produce dramatically better learning outcomes over time. In low-resource contexts, the growth mindset message is particularly powerful: the belief that intelligence is fixed tends to disadvantage students who have fewer material resources, since it implies that their circumstances reflect their capacities. The belief that intelligence grows with effort puts agency back in the hands of students and teachers, regardless of what resources are available. No materials are needed for any activity below.
Two drawings showing a clear before and after — in the difficult moment, the child might show frustration or confusion; in the easier moment, concentration or success. The completion names a specific difficulty and a specific help (practising more, asking someone, watching someone do it, trying a different way).
The what helped me is the most important part. Ask: would that same thing help you with other difficult things? Is there a pattern in what helps you learn?
Something I could not do before but can do now is read a full page of a book without stopping. I got better at it by reading every evening before sleep, even when it was hard, and asking my mother to help with words I did not know. Next I want to learn to swim properly and I will do it by going to the river with my uncle on Saturdays and practising until I can do it without holding on.
Award marks for specificity in all four completions. Vague answers (I practised) should be pushed for more detail (I practised by doing what, when, how often?). The plan for future learning is the most important part — it builds the habit of treating learning as something you design, not something that happens to you.
Some children are just clever and others are not — and this does not change.
Intelligence is not a fixed quantity you are born with. It is more like a set of skills that grow with practice and the right kind of effort. Research by Carol Dweck and others shows that children who believe their intelligence can grow — who have a growth mindset — achieve significantly more over time than children who believe it is fixed, regardless of their starting point. The most important thing a teacher can say to a struggling child is not you are not very good at this but you have not got there yet — and here is what will help.
If you have read something or heard it explained, you have learned it.
Exposure is not the same as learning. Hearing or reading something produces a very shallow memory trace that fades quickly. Real learning requires active engagement — trying to recall, explaining in your own words, applying to a new situation, being tested. The uncomfortable feeling of not being able to remember something you thought you knew is not a sign of failure — it is the beginning of real learning. Research consistently shows that the act of trying to remember something (retrieval practice) strengthens memory far more than re-reading or re-listening.
Praising children for being clever motivates them to learn.
Research by Carol Dweck shows that praising children for being clever actually reduces their motivation and resilience. When children are told they are clever, they become motivated to protect that identity — which means avoiding challenges where they might fail and appear not-clever. Praising children for effort, strategy, and persistence produces children who seek out challenges and persist through difficulty. The shift from you are so clever to you worked really hard on that or you tried a completely different approach when the first one did not work is one of the most important changes any teacher or parent can make.
Learning how to learn at primary level introduces students to the genuine science of effective learning — a body of research that is among the most robust and practically important in all of psychology, and almost completely unknown to the students who need it most. The core findings, summarised.
The act of trying to recall something from memory strengthens that memory far more than re-reading or re-listening. Every time you successfully retrieve a piece of information, you make it easier to retrieve in the future. This is why testing — if treated as a learning tool rather than only an evaluation tool — is one of the most powerful things a classroom can do. Low-stakes frequent testing (quizzes, self-testing, partner questioning) produces dramatically better retention than equivalent time spent re-reading.
Memories fade over time in a predictable pattern described by Ebbinghaus's forgetting curve. The most efficient way to counteract this is to review material at increasing intervals — shortly after first learning it, then a few days later, then a week later, then a month later. Cramming the night before a test produces short-term retention that evaporates within days. Spaced practice produces long-term retention.
When students study topics in blocks (all of topic A, then all of topic B), they typically find it easier but learn less. When topics are interleaved (some A, then some B, then back to A), it feels harder but produces better long-term retention and better ability to transfer knowledge to new situations. The difficulty is the learning. The illusion of knowing: familiarity feels like understanding. When we re-read something we have seen before, it feels familiar, and we mistake that feeling of familiarity for knowledge. Retrieval practice breaks this illusion — when you try to recall something and cannot, you discover what you actually do not know. This is why students who only re-read consistently overestimate how well they know material before a test, while students who regularly self-test have much more accurate self-knowledge. In low-resource contexts, all of these techniques are entirely free. Retrieval practice requires only memory and perhaps a partner. Spaced practice requires only organisation and intention. Interleaving requires only the willingness to mix topics rather than blocking them. The knowledge in this skills topic is worth more to students in resource-poor environments precisely because it requires nothing but information and practice.
I usually study in the evening after dinner, at the kitchen table, for about forty-five minutes. I read through my notes and then read them again, and sometimes I copy things out. Looking at what I have learned today, I think I am already doing a small amount of retrieval practice when I try to remember things on my walk to school, but I had not thought of it as studying before. I am definitely not doing spaced repetition — I study for a test the night before and then never look at that material again, which means I forget most of it within a week. The one change I will make this week is to close my notes after reading them once and write down everything I can remember before checking. It will feel harder but I understand now that the difficulty is the point.
Award marks for genuine and specific honesty — not what sounds impressive but what is actually true. The specific change must be genuinely actionable — naming a technique, a time, and a subject. Strong answers will show understanding of why the change is likely to work, not just what the change is.
Dear friend, the problem is not that you are stupid — it is that you are working very hard using methods that the research shows do not work well. Re-reading your notes makes the material feel familiar, but familiar is not the same as known. When you close the book and try to remember what you just read — and it feels really hard — that discomfort is not failure, it is your brain building the memory properly. Try this instead: read your notes once, close them, and write down everything you can remember. Then check what you missed. Do this for twenty minutes rather than two hours of re-reading and I promise your test results will improve. The research is very clear on this — and the fact that you are working this hard tells me you absolutely have the dedication to do well.
Award marks for genuine empathy before advice, specific use of at least one research-based technique, explanation of why it works rather than just what to do, and a hopeful and honest tone. Strong answers will address both the motivational crisis (you are not stupid) and the practical problem (your study method is inefficient) without being condescending.
Re-reading your notes is the best way to study.
Re-reading is one of the least effective study strategies identified by learning science. It feels productive because the material looks familiar — but familiarity is not the same as being able to recall and use knowledge. Research consistently shows that retrieval practice (closing the book and trying to remember), spaced repetition, and teaching others produce dramatically better long-term retention than re-reading. Students who switch from re-reading to retrieval practice typically see significant improvements in test performance with less total study time.
Cramming the night before a test is an effective study strategy.
Cramming produces short-term retention that serves immediate recall during a test but disappears within days. The information is held in working memory rather than consolidated into long-term memory, which requires sleep and spaced repetition to occur. Students who cram consistently fail to build the cumulative knowledge that later learning depends on, because each topic is forgotten before the next builds on it. Spaced study over days and weeks produces both better test performance and durable long-term knowledge.
Studying one topic completely before moving to another is the most efficient approach.
Blocking — completing all practice on one topic before moving to the next — feels more efficient and more comfortable than interleaving. But research consistently shows it produces worse long-term retention and worse ability to apply knowledge to new problems. Interleaving — mixing topics — forces the brain to identify which approach is appropriate for each problem, building the discriminative knowledge that is needed for genuine understanding. The discomfort of interleaving is the learning.
If learning feels difficult, you are doing it wrong.
The opposite is true: difficulty is a sign that learning is happening. Techniques that produce the most durable learning — retrieval practice, interleaving, spaced repetition — all feel harder than less effective alternatives. This mismatch between feeling and learning is one of the most important insights in learning science. Students and teachers tend to prefer comfortable, fluent learning conditions — which are actually less effective. The uncomfortable feeling of not being able to remember something, of mixing up similar problems, of returning to material you thought you had finished — these are signals that your brain is working hard to build lasting memory.
Secondary learning how to learn engages students with the deeper neuroscience and psychology of learning, with the crucial question of metacognition — knowing what you know — and with the structural and motivational conditions that enable or prevent effective learning.
Memory formation occurs in two stages. Initial encoding — which happens during learning — creates fragile traces in the hippocampus. Consolidation — which happens largely during sleep — transfers these traces to the neocortex for long-term storage. This is why sleep is not a luxury for learners but a biological necessity: without adequate sleep, long-term memory consolidation does not occur properly. A student who studies for six hours and sleeps for four will typically retain less than a student who studies for four hours and sleeps for eight. The testing effect: the finding that retrieval practice produces better learning than re-study (the testing effect) is one of the most robust findings in cognitive psychology — replicated hundreds of times across ages, cultures, and subject matters. The mechanism is well understood: retrieval forces the brain to reconstruct a memory rather than simply recognise it, which strengthens the memory trace. Every low-stakes quiz, self-test, or partner question is not a test of learning but an act of learning.
Students who can accurately assess what they know and do not know learn more efficiently than those who cannot, because they can direct their study effort where it is actually needed. Most students have poor metacognitive accuracy — they consistently overestimate how well they know material. Techniques that improve metacognitive accuracy (retrieval practice, calibration exercises, practice tests with feedback) are among the most valuable educational interventions available.
The self-determination theory of Ryan and Deci identifies three fundamental psychological needs that, when met, produce intrinsic motivation and deep learning — autonomy (a sense of choice and self-direction), competence (a sense of growing ability), and relatedness (a sense of connection to others). These needs are at least as important as instructional technique for determining learning outcomes. In contexts where extrinsic motivation (exam results, employment) is dominant, supporting intrinsic motivation is both harder and more important.
People have fixed learning styles — visual, auditory, or kinaesthetic — and learn best when taught in their preferred style.
The learning styles hypothesis — one of the most widely believed ideas in education — has been tested extensively and consistently failed to find support. People do have preferences about how information is presented, and different types of content genuinely are better communicated through different modes. But the specific claim that matching instructional presentation to individual learning style preferences produces better learning outcomes has not been supported by controlled research. The most effective learning usually involves multiple modes — reading, hearing, visualising, practising — regardless of preference.
Intelligence is fixed and determines how much you can learn.
The evidence on the malleability of intelligence and learning capacity is clear: education, environment, deliberate practice, and effective learning strategies produce significant and measurable improvements in cognitive capacity across the lifespan. The brain is genuinely plastic — it changes in response to experience and learning. This does not mean that there are no differences in learning ease between individuals — there clearly are. But the practical implication is that effective study strategies produce better outcomes for almost everyone, regardless of starting point, and that the limits of what any individual can learn have not been established.
The purpose of education is to accumulate knowledge that will be recalled when needed.
The accumulation and recall of knowledge is one function of education but not its most important one. The deeper purpose is to develop the capacity to think — to understand, to analyse, to evaluate, to create, to solve new problems. This requires transfer, which is the ability to apply knowledge to new situations that were not part of the learning. Transfer is far harder to achieve than recall and requires different teaching and learning approaches — including interleaving, varied practice, and the deliberate application of concepts across different contexts. Education systems that focus exclusively on recall — as many high-stakes exam systems do — often produce students who can pass tests but cannot think with what they have learned.
More study time always produces better learning.
The relationship between study time and learning is highly non-linear and depends entirely on what happens during that time. An hour of retrieval practice produces dramatically more durable learning than four hours of re-reading. Studying when sleep-deprived produces almost no long-term retention. Studying material you already know well produces almost no benefit. The most efficient learners are not those who study longest but those who use evidence-based techniques, monitor their own understanding accurately, review at appropriate intervals, and protect their sleep. Time is a necessary but not sufficient condition for effective learning.
Key texts and resources: Peter Brown, Henry Roediger and Mark McDaniel's Make It Stick: The Science of Successful Learning (2014, Harvard University Press) is the most accessible and comprehensive summary of learning science for a general audience — essential reading for teachers and suitable for strong secondary students. Robert Bjork's research on desirable difficulties and the distinction between learning and performance is available through his UCLA lab and in many freely available review articles — searching desirable difficulties Bjork produces the key papers. Hermann Ebbinghaus's original work on the forgetting curve is freely available and historically fascinating. Carol Dweck's Mindset: The New Psychology of Success (2006, Random House) is the foundational text on growth and fixed mindset — readable and full of specific examples. For self-determination theory: Richard Ryan and Edward Deci's original papers are freely available; their book Self-Determination and Intrinsic Motivation in Human Behavior (1985) is the academic foundation. For practical application: the Learning Scientists website (learningscientists.org) provides free, peer-reviewed resources on the six most evidence-based learning strategies, in multiple languages, explicitly designed for students and teachers — one of the most valuable free educational resources available globally. The podcast Retrieval Practice (by Kate Jones) is also freely available and practically focused. For sleep and memory: Matthew Walker's Why We Sleep (2017, Scribner) is the most complete and accessible account of sleep science, including its implications for learning and memory. For metacognition: John Flavell's original work on metacognition is available in academic libraries; Stephen Fleming's Know Thyself (2021) is a more accessible recent treatment of metacognition and self-knowledge.
Your feedback helps other teachers and helps us improve TeachAnyClass.