How to think about your own thinking — understanding how you learn, monitoring your understanding, and adjusting your approach when something is not working. One of the highest-impact skills a student can develop, and one that can be taught in any classroom regardless of resources.
Metacognition at Early Years level is about introducing the idea that thinking is something we can observe and talk about — not just something that happens to us. Young children are natural metacognitive thinkers in some ways: they know when they do not understand something, they notice when a strategy is not working, and they ask for help. The goal is to make these instincts conscious and to give children simple language for talking about their thinking. The most powerful teaching move at this level is thinking aloud. When you model your own thinking process — saying I am not sure about this, let me try a different way, or I made a mistake — I need to go back — you show children that thinking is visible, adjustable, and something that good learners actively manage. In low-resource contexts, metacognition is especially valuable because it costs nothing. A child who can monitor their own understanding and adjust their approach does not need expensive materials or individual tutoring — they carry their learning tools inside them. Avoid the word metacognition with young children. Use: thinking about your thinking, how do you know, what helped you learn that, and what could you try instead.
Any drawing of a child in a thinking or learning situation, with a completion that describes an active strategy: I try again, I ask my teacher, I try a different way, I draw a picture to help me. The goal is to connect difficulty to an active response rather than giving up or waiting.
Look for an active verb in the completion — try, ask, draw, say, think. Passive responses such as I wait or I do not know suggest the child has not yet connected difficulty to agency. Discuss gently: what could you try next time?
I learn best when it is quiet and someone shows me how first. One thing that helps me remember is saying the thing out loud three times.
Accept any genuine self-observation — there are no wrong answers. The value is in the reflection, not the specific strategy. Celebrate unusual or creative answers — a child who says I learn best when I can move around is showing real self-knowledge.
If I do not understand something, it means I am not clever.
Not understanding something is the starting point of learning — not a sign of failure. Every person who is now good at something once did not understand it. The important thing is what you do when you do not understand: do you give up, or do you try a different way and ask for help?
Learning is something that just happens — you cannot control it.
You have more control over your learning than you think. Choosing to try again, asking a question, finding a quieter place to think, drawing a picture to help you understand — all of these are decisions that change how well you learn. Good learners make these decisions on purpose.
The fastest learner is the best learner.
Learning speed is not the same as learning depth. A child who takes longer but thinks carefully, checks their understanding, and notices their mistakes often learns more than a child who finishes quickly without reflecting. Slow and thoughtful is often better than fast and careless.
Metacognition is thinking about your own thinking — specifically, the awareness and regulation of your own learning processes. It is one of the highest-impact interventions identified in educational research. The Education Endowment Foundation estimates that metacognition and self-regulation add the equivalent of seven or eight months of additional learning progress per year, at very low cost. It is therefore especially valuable in low-resource contexts. Metacognition has three main components.
Before a task, thinking about what it requires, what strategies might work, and what resources are available.
During a task, checking understanding, noticing when something is not working, and adjusting the approach.
After a task, reflecting on what worked, what did not, and what to do differently next time. A key concept is metacognitive knowledge — what students know about themselves as learners, about learning tasks, and about strategies. This knowledge develops slowly through experience and reflection.
They overestimate their understanding, choose ineffective strategies (such as re-reading instead of retrieval practice), and do not adjust when something is not working.
The fluency illusion — something feels familiar so students believe they have learned it, when in fact familiarity is not the same as being able to use the knowledge; and the confidence-competence gap — students who struggle most tend to be least accurate about their own understanding. Teaching metacognition means building habits and language, not just explaining the concept. The most effective approach is to model metacognitive thinking explicitly and regularly, and to build reflection into the structure of lessons — not as an add-on but as a core component.
I am good at concentrating for a long time when I am interested in a topic, and I am good at asking questions when I do not understand. I find it hard to start tasks when I do not know where to begin, and I tend to avoid checking my work because I do not like finding mistakes. One strategy that worked well for me was making a summary in my own words after reading — it showed me immediately what I had understood and what I had missed. A habit I want to change is re-reading my notes instead of testing myself — I know from this lesson that testing works better, even though it feels harder.
Award marks for genuine and specific self-knowledge — not generic claims like I am a hard worker but observable behaviours and patterns. The habit to change should connect to something from the lesson, not just a general aspiration. Strong answers will show accurate self-assessment — both honest about weaknesses and genuinely confident about strengths, without false modesty or overconfidence.
I need to learn the causes of the First World War for a test next week. I already know that the assassination of Franz Ferdinand was a trigger and that there were alliances between countries. I do not yet understand why the alliances made a local conflict into a world war, or the difference between long-term causes and the immediate trigger. I will use retrieval practice — I will read my notes once, then close them and write down everything I can remember, then check what I missed. I will do this twice. I will know it worked if at the end I can explain the causes clearly in my own words without looking at my notes.
Award marks for: a genuine and specific learning goal — not study everything; honest assessment of what is already known versus what is not; a named strategy with a genuine reason for choosing it — not just I will study harder; a specific and measurable success criterion at the end. Strong answers will choose a strategy from the lesson rather than defaulting to re-reading, and will set a success criterion that requires active demonstration of learning — explaining, writing, or testing — rather than just finishing.
Re-reading notes is a good way to study.
Re-reading is one of the least effective study strategies according to research — but it feels effective because familiar content seems easy. The fluency illusion tricks us into thinking we know something because it looks familiar. Testing yourself — trying to remember without looking — is far more effective, even though it feels harder. The difficulty is a sign that learning is happening.
If I work hard and concentrate, I do not need to think about how I am learning.
Effort and concentration are necessary but not sufficient. Working hard with the wrong strategy produces much less learning than working smart with the right one. Metacognition means choosing strategies deliberately, checking whether they are working, and changing approach when they are not — regardless of how much effort is being applied.
Good learners do not need to check their understanding — they just know.
Research consistently shows the opposite. Expert learners monitor their understanding more frequently and more accurately than novices — not less. The ability to notice confusion, identify gaps, and seek clarification is a mark of sophistication, not weakness. Students who think they understand everything are usually the ones making the most unnoticed errors.
Making mistakes means I did not learn properly.
Making mistakes is how learning happens — not a sign that it failed. What matters is what you do with a mistake: ignore it, or analyse it. A student who makes ten mistakes and examines each one learns far more than a student who makes two mistakes and moves on without reflection. Mistakes are the most useful information a learner has.
Secondary metacognition teaching should engage with the cognitive science behind learning — giving students a genuine understanding of how memory, understanding, and skill development work, so they can make informed decisions about how to study. This knowledge is especially empowering for students in low-resource contexts who cannot rely on expensive tutoring or large quantities of materials. The science of learning: memory is not a recording — it is a reconstruction. Each time we remember something, we rebuild it from fragments. This means retrieval practice — actively recalling rather than passively re-reading — strengthens memory more than any other strategy. Spaced practice — spreading learning over time rather than cramming — produces far better long-term retention. Interleaving — mixing up different topics or problem types rather than practising one type repeatedly — produces better transfer and discrimination between concepts. Elaborative interrogation — asking why and how questions about content — deepens understanding. These are the highest-impact low-cost strategies identified in cognitive science. Calibration is the accuracy of a student's self-assessment — how well their confidence matches their actual performance. Research consistently shows that students are poorly calibrated, and that the students who most overestimate their understanding are often those who understand the least — the Dunning-Kruger effect applied to learning. Improving calibration requires frequent low-stakes testing and honest self-assessment practice. Transfer — applying knowledge to new situations — is the ultimate goal of education but is much harder than it looks. Students can reproduce what they were taught without being able to use it in a new context. Metacognition supports transfer by making the underlying principles of knowledge visible, not just the specific examples. Identity and motivation: students who see themselves as learners — not as clever or not clever, but as people who learn through effort — are more likely to use metacognitive strategies, persist through difficulty, and recover from setbacks. This connects to growth mindset but goes further: it is about the student having an accurate model of how learning works and believing that their strategies make a difference.
Concept: natural selection in biology. First attempt: natural selection is when animals that are better at surviving have more babies, so over time the animals get better at surviving. Where the explanation broke down: when I tried to explain why the better animals have more babies, I could not say clearly what better means — better at what? I also could not explain how this leads to new species rather than just better versions of the same one. What I did: I went back to my notes and found that better means better adapted to the specific environment, and that the environment can change — so what is better in one place or time is not better in another. I also read about how small changes build up over very long periods into large differences. Improved explanation: natural selection works because individuals in a population vary — they are not all the same. Some variations help an individual survive and reproduce in its specific environment. Those individuals pass on their characteristics to their offspring. Over many generations, the characteristics that help survival become more common. If environments change, different characteristics become useful — which is why animals in different environments look and behave differently. What this taught me: I thought I understood natural selection because I could repeat the definition. But when I tried to explain it simply, I found I could not connect the steps — I had memorised words without understanding the mechanism. The Feynman technique made this gap visible immediately.
Award marks for: a genuine first attempt that reveals real understanding rather than a polished explanation; honest and specific identification of where the explanation broke down — vague answers like it got complicated do not count; a clear account of what was done to fill the gap; a genuinely improved second explanation that addresses the identified weakness; and a reflective conclusion that identifies something real about the student's own understanding. Strong answers will show that the gap was specific and the improvement was targeted — not just more information but a better connection between ideas.
Intelligence is fixed — some people are naturally good at learning and others are not.
Decades of research show that the strategies a learner uses matter far more than any fixed ability. Retrieval practice, spaced practice, and elaboration improve learning outcomes consistently across different ability levels. The belief that intelligence is fixed is itself damaging — students who hold this belief are less likely to use effective strategies, less likely to persist through difficulty, and recover less well from setbacks.
If studying feels easy and comfortable, it is working well.
The opposite is usually true. The strategies that feel easiest — re-reading, highlighting, working through familiar material — produce the least durable learning. The strategies that feel hardest — retrieval practice, interleaving, tackling unfamiliar problems — produce the most. The feeling of difficulty is not a sign that something is wrong — it is a signal that your brain is working. Cognitive scientists call this desirable difficulty.
Metacognition is a skill for high-achieving students — struggling students need to focus on content first.
Research shows the opposite. Students who struggle most have the most to gain from metacognitive training because they are most likely to be using ineffective strategies without knowing it. Metacognition does not require high ability — it requires awareness and habit. Teaching struggling students to monitor their understanding and choose better strategies often produces faster improvements than additional content instruction alone.
Once you have learned something, you have learned it — you do not need to return to it.
Memory decays rapidly without retrieval. Research on the forgetting curve shows that most information is lost within days of learning unless it is retrieved and reinforced. Spaced practice — returning to content at increasing intervals — is one of the most powerful tools for building durable long-term memory. Learning is not a one-time event but a repeated process of retrieval and reconstruction.
Key texts and resources: John Dunlosky et al., Improving Students' Learning With Effective Learning Techniques (2013) — the landmark review that rated ten common study strategies by effectiveness; freely available as a PDF and directly teachable to students. Robert Bjork's research on desirable difficulties is accessible through his UCLA lab website. The Education Endowment Foundation Teaching and Learning Toolkit (educationendowmentfoundation.org.uk) rates metacognition and self-regulation as the highest-impact low-cost intervention available — essential reading for teachers. Peter Brown, Henry Roediger, and Mark McDaniel, Make It Stick: The Science of Successful Learning (2014) — the most readable account of the science; chapters 1 to 3 are most directly useful for classroom application. For the Feynman technique: Richard Feynman's own accounts of his learning approach are collected in Surely You're Joking, Mr. Feynman (1985). For calibration and Dunning-Kruger: the original Kruger and Dunning paper Unskilled and Unaware of It (1999) is freely available online. For growth mindset as it connects to metacognition: Carol Dweck, Mindset (2006) — though teachers should be aware of the subsequent research complexity around growth mindset interventions in classroom settings. For practical classroom implementation: the Metacognition and Self-regulated Learning guidance report published by the Education Endowment Foundation (2018) provides specific, practical strategies for teachers at all levels and is freely downloadable.
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