Metacognition in the Classroom: The Complete Teacher's Guide
The complete guide to metacognition in the classroom. Evidence from the EEF shows +7 months progress. Includes ready-to-use strategies for every subject and key stage.


Metacognition helps learners progress seven months faster (Education Endowment Foundation). It is the best strategy in their toolkit. Flavell (1979) found three components. Many teachers see it as vague advice. This guide covers research and classroom activities for each component. This makes learner behaviour visible.
Metacognition means thinking about thinking. The term was introduced by John Flavell (1979), a developmental psychologist at Stanford, who defined it as "one's knowledge concerning one's own cognitive processes or anything related to them." In plain terms, it is the mental activity we use to oversee, direct, and evaluate our own learning. A learner who realises they have not understood a paragraph and decides to reread it is using metacognition. A learner who copies notes without noticing they cannot explain them is not.
Flavell (1979) noted three parts. Metacognitive knowledge is what a learner knows about learning strategies. It covers task types and what works best (Flavell, 1979). Metacognitive regulation actively manages thinking during work, like planning and checking progress (Flavell, 1979). Metacognitive experience is a learner's real-time feeling about how learning progresses (Flavell, 1979).
Metacognitive knowledge, skills and experience interact (Flavell, 1979). Learners may choose poor strategies if metacognitive knowledge is weak (Bjork et al., 2013). Good knowledge paired with poor monitoring means learners may lose focus (Nelson & Narens, 1990). Address all components when teaching metacognition (Zimmerman, 2000). Do not just ask for end-of-lesson reflections.
The EEF (2018) report shows metacognition helps learners. This approach gives learners seven months extra progress. Findings hold true across age groups, subjects, and needs. Studies by the EEF (2018) support this teaching method.
Hattie (2009) found self-reported grades had a very high effect size (d = 1.44). This shows learners' awareness links to achievement. Learners knowing their strengths study better. They also persevere and use feedback well.
Dunlosky et al. (2013) found elaborative interrogation, self-explanation, and practice testing help learners learn. Dunlosky et al. (2013) also showed rereading and highlighting lead to poor recall. Learners commonly choose less effective revision methods.
The cost of poor metacognition shows up most visibly in assessments. Learners who revise by reading through notes typically feel confident before an exam and perform worse than they expected. Learners who revise using retrieval practice feel less confident during revision but consistently outperform on the exam. This gap between perceived and actual learning is what Koriat and Bjork (2006) called an illusion of knowing. Teaching metacognition means teaching learners to distrust the feeling of fluency as a signal of learning.
Flavell (1979) identified three types of metacognitive knowledge. Person knowledge is what a learner thinks about their learning strengths. Task knowledge involves understanding different demands of varied tasks. Strategy knowledge means knowing which approaches work best (Flavell, 1979).
A concrete classroom example: in a Year 10 history lesson on the causes of the First World War, a learner with strong person knowledge recognises that they understand the political causes but are shakier on the economic ones. Strong task knowledge tells them that the essay format will require them to weigh and compare causes, not just list them. Strong strategy knowledge leads them to use a comparison graphic organiser to clarify the relationship between causes before drafting. Without any one of these three, the learner's preparation is less efficient.
Learners use metacognition in lessons. Planning uses prior knowledge and selects strategies (EEF, 2018). Monitoring checks understanding; learners see failed strategies. Evaluating judges work and reflects on strategies. Teach this cycle clearly (EEF, 2018).
Focus more on metacognitive experience in class. Flavell (1979) said it includes feelings about learning. Efklides (2006) showed confusion means a learner's method isn't working. Teach learners to view confusion as helpful data. Dunlosky & Metcalfe (2009) suggested modelling problem-solving.
EEF (2018) lists seven directly taught strategies, like spaced and retrieval practice. Learners actively process information; they shouldn't just receive it. Metacognition is vital; otherwise, these are just techniques (EEF, 2018).
Planning strategies are the most neglected of the three phases. Before a task, teach learners to ask: what do I already know about this? What do I not know? What does this task actually require me to do? What approach will I use, and why? A simple pre-task planning template can prompt this. In a science lesson, a teacher might spend two minutes before a written explanation task asking learners to write one thing they know confidently, one thing they are unsure of, and one strategy they will use to check their explanation is accurate. This activates metacognitive knowledge before learners begin, rather than leaving them to dive in unreflectively.
Learners miss understanding checks, which stops monitoring. Willingham (2009) says instructions need comprehension checks. Rosenshine (2012) advises teachers to pause and ask learners what confuses them. Red, amber, green cards show learner confidence. Naming confusion helps learners develop metacognitive skills.
Evaluating strategies at the end of tasks need to move beyond "did I finish?" to "did I understand, and how do I know?" A useful post-task prompt sequence is: what was the hardest part of this task? What strategy did I use, and did it work? What would I do differently next time? These three questions map directly onto metacognitive evaluation. For written work, learners can annotate their own drafts before receiving teacher feedback, identifying sentences they are unsure about. This calibrates their self-assessment against the teacher's feedback and builds metacognitive accuracy over time.
Kruger and Dunning (1999) showed new learners often overrate their knowledge. Expert learners underrate their abilities. Therefore, good self-assessment relies on metacognition.
Bjork (1994) found metacognition strategy transfer is sometimes weak. Learners may find it hard to plan, monitor, and evaluate across subjects. Nelson (1996) suggested that integration helps learning. Dunlosky (2009) recommends using relevant language and examples.
Learners check their understanding of maths problems before calculating (Schoenfeld, 1992). They might draw diagrams or note key information (Pape, 2004). "Worked example comparison" tasks help learners (Star et al., 2015). Learners compare solutions to find errors, which aids evaluation.
In English, metacognition most naturally applies to reading comprehension and writing planning. Before reading a challenging text, teachers can model "reading like a detective": what do the title and subheadings tell me? What genre is this, and what does that mean for how I read it? During reading, the "say something" technique asks learners to pause at marked points and articulate what they understand so far, what surprised them, and what they predict will come next. These are metacognitive monitoring behaviours made concrete and social.
Metacognition matters for science learners. They must know "explain why" questions need causal reasoning. Learners should grasp that recall tasks differ from application tasks (Zohar, 1999). Thinking strategies let learners plan and monitor their learning more precisely (Whitebread et al., 2015; Krätzig & Arbuthnott, 2006).
Weinstein et al. (2000) found metacognitive planning helps learners choose a stance before reading. Learners check sources for support, problems, or contradictions. Perry (1998) and Atherton (2003) showed annotations clarify this, aiding teaching and argument building.
Zimmerman (2002) describes self-regulated learning as forethought, performance, and self-reflection. These steps are similar to planning, monitoring, and evaluation. Zimmerman (2002) noted motivation drives self-regulation. Self-efficacy, goals, and outcome reactions influence this.
Learners need metacognition and motivation to succeed. The EEF (2018) found that maths learners avoid thinking about their learning if disengaged. The EEF (2018) recommend teaching growth mindset with metacognition to improve learner outcomes.
Dweck (2006) and Flavell (1979) provide teachers with classroom ideas. Growth mindset and metacognition boost learner progress.
Brown (1987) showed executive function, like working memory, supports learner self-regulation. Learners struggle to remember goals with weak memory. Teaching structures reduce cognitive load. Checklists support successful strategies (Bjork, 1994; Flavell, 1979).
This connects closely with research on theory of knowledge, which provides further classroom strategies for teachers.
Schraw and Dennison (1994) made the Metacognitive Awareness Inventory. It checks older learners' metacognitive knowledge and control. Their work showed these skills grow at different speeds. A learner may know retrieval helps but reread anyway. Instruction should target both areas for better learning.
Hart's (1965) research shows learners sense stored information, even if they cannot recall it. Teaching learners to recognise this feeling builds metacognitive awareness. This helps learners distinguish between feeling of knowing and actual recall.
Structured tools are the most reliable way to make metacognitive processes visible and teachable. When thinking is invisible, neither the teacher nor the learner can see where it is going wrong. When it is made explicit through a graphic organiser, a thinking routine, or a self-assessment prompt, both can observe, discuss, and improve it.
Graphic organisers are the most versatile metacognitive tool. A KWL chart (Know, Want to know, Learned) structures the planning and evaluating phases of a task. A Cornell notes template with a summary section at the bottom requires learners to compress and evaluate their own notes. A comparison table forces learners to make their own criteria for comparison explicit before filling it in. The metacognitive value of these tools comes from requiring learners to externalise their thinking before, during, or after a task, creating an artefact that can be reviewed and improved.
Project Zero routines improve learner thinking, research suggests. "See-Think-Wonder" helps learners observe carefully before forming ideas (Harvard University). "Think-Puzzle-Explore" uses knowledge to make learners question things (Project Zero). "I Used to Think, Now I Think" allows learners to consider changes in understanding. These routines give clear thinking steps, so you don't need to invent your own (Project Zero).
Thinking maps add a further layer: each map type corresponds to a specific cognitive task. A circle map (brainstorming context), a tree map (classifying), a brace map (analysing part-whole relationships). Teaching learners which map to choose for which task is itself metacognitive strategy knowledge. A learner who reaches for a flow map when they need to sequence a process, rather than drawing random boxes and arrows, is applying metacognitive knowledge about task demands and appropriate tools.
Metacognitive knowledge includes 'what', 'how', and 'when/why' (Paris et al., 1983). Learners find conditional knowledge (when and why) difficult. However, Paris et al. (1983) found it best supports knowledge transfer.
Structured reflection journals, used weekly rather than as a one-off task, build metacognitive evaluation as a habit. The most effective prompts are specific: "Write one thing you understood in today's lesson that you would be able to explain to someone else without looking at your notes. Write one thing you are still unsure about. Write what you plan to do before next lesson to address the gap." Generic prompts ("What did you learn today?") produce surface responses; specific prompts produce metacognitive thinking.
This connects closely with research on habits of mind, which provides further classroom strategies for teachers.
Metacognition is harder to assess than subject knowledge, but it is observable if you know what to look for. The most reliable indicators are behavioural: does the learner pause before beginning a complex task and appear to be planning? Do they check their work mid-task? Do they ask specific questions about what the task requires rather than just beginning? Do they revise their approach when an initial strategy is not working? These observable behaviours are more valid indicators of metacognitive regulation than self-report questionnaires alone.
Flavell (1979) showed metacognition supports learners. Schraw and Dennison (1994) gave teachers useful techniques. Researchers provide practical classroom strategies for metacognition. This helps teachers start metacognition activities with learners.
Calibration checks, before and after tasks, assess learners easily. Ask learners to rate their confidence (1-3) before starting, (Bjorkman, 1994). Learners compare confidence with results afterwards. A mismatch reveals a calibration gap (Hacker et al, 2000). Consistent accuracy shows metacognitive growth over time (Winne & Hadwin, 1998).
A judgment of learning (JOL) is a learner's prediction of how well they will remember material on a future test. Nelson and Narens (1990) found that delayed JOLs, made after a short gap rather than immediately, are far more accurate and help learners calibrate their revision effort.
Use think-alouds to check learner metacognition (Veenman, 2011). Learners say their thoughts aloud as they solve problems. Listen for planning, monitoring, and evaluating language. Its lack signals poor metacognitive skills (Zimmerman, 2000). Model think-alouds before learners attempt them (Flavell, 1979).
Portfolio assessment shows learner progress well, unlike tests. Planning sheets and self-assessments help learners monitor their own learning (EEF, 2018). Teachers note learners become more aware of their learning when they assess metacognition.
Flavell (1979) says metacognition actively manages thinking. It goes beyond simple reflection. Learners who list lesson points show reflection. Nelson and Narens (1990) think reflection alone may limit gains. End-of-lesson reflection can help learners consolidate knowledge.
A second misconception is that younger children cannot benefit from metacognitive instruction. The research does not support this. Brown et al. (1983) demonstrated that children as young as five can learn to monitor their own comprehension during story reading. EEF evidence confirms that primary-age learners show significant gains from metacognitive strategy instruction. The instruction needs to be concrete and language-rich, with teachers modelling metacognitive language explicitly. "I'm going to think out loud so you can hear what I'm doing in my head" is accessible to a Year 1 class. The concepts are simpler, but the principle is identical.
Flavell (1979) thought metacognition depends on the subject. Learners might find English techniques hard to use in maths. Explaining concepts changes between subjects. Subject-specific teaching works better than general skills (researchers).
This connects closely with research on learning to learn, which provides further classroom strategies for teachers.
Self-marking can teach learners to think about their learning. Sadler (1998) found unguided self-marking assesses superficially. White & Frederiksen (1998) say learners judge reasoning, not just right answers. Andrade & Valtierra (2001) showed structured methods boost thinking skills better.
Ennis (1993) and Halpern (1998) suggest practical strategies for critical thinking. Teachers can use these to help learners develop key reasoning skills. Willingham's (2007) research shows prior knowledge boosts learner thinking.
Without a supportive classroom culture, individual strategies show limited results. Learners need classrooms where admitting "I don't understand" sparks curiosity. Changing minds with new evidence should be intellectual strength. Frame difficulty as a normal part of learning, not a failure (Costa & Kallick, 2008; Dweck, 2006).
Classroom language is the most direct tool for building this culture. Teachers who consistently use metacognitive language model the behaviour they want learners to adopt. "I'm going to think about what I already know before we start" is metacognitive planning. "I noticed I made an error here and I want to understand why" is metacognitive evaluation. "This is confusing me, so I'm going to try a different approach" is metacognitive monitoring. When learners hear this language daily, they acquire the vocabulary and the habits that go with it. This is especially important for learners from disadvantaged backgrounds, who are less likely to have encountered this language at home.
Classroom routines that build in metacognitive moments are more reliable than activities that depend on teacher memory. A two-minute planning prompt before every extended writing task. A mid-task check-in question built into every practical activity. A post-task "what was hard and what did you do about it?" question before moving to the next lesson segment. When metacognitive pauses are structurally built into lesson design rather than added when time permits, they become normal and expected. Learners who experience them consistently across subjects and years develop them as genuine habits rather than performed responses.
Teachers should focus on scaffolding and metacognition. Scaffolding which replaces learner effort creates dependency. Teachers should prompt learners to monitor themselves, as in work by Vygotsky (1978). Scaffolding that supports effort builds independence, like in Wood et al.'s (1976) research. Effective instruction gradually reduces support, as learners gain skill.
Hattie (2009) linked metacognition with self-regulation. This benefits schools. Shared language improves learner results. Use common terms for planning, monitoring, and evaluation. The EEF's (2018) guide assists departments with metacognition. Teachers require no specialist training.
Thinking frameworks improve learners' metacognition. De Bono's Six Thinking Hats (de Bono) helps learners consider evidence and risks. Learners move past usual thought patterns this way. Bloom's Taxonomy, recall to evaluation, offers similar benefits.
What makes the difference between teachers who see genuine metacognitive growth in their classes and those who do not is rarely the choice of specific strategy or tool. It is consistency, explicitness, and the willingness to value the process of thinking as much as its products. Learners learn to think about their thinking when teachers persistently, visibly, and without embarrassment think about theirs.
These five studies and reports form the core evidence base for metacognitive instruction in classroom settings. Each is directly relevant to practising teachers.
Flavell (1979) showed metacognition helps learners understand their thinking. Nelson (1990) found cognitive monitoring lets learners check understanding. Pintrich (2002) proved these skills improve learner outcomes. Zohar & Dori (2012) saw these strategies benefit learners in all subjects.
Flavell, J. H. (1979)
Flavell (1979) defined metacognition, a key idea in learning. His framework includes knowledge, regulation, and experience. Teachers understand and use metacognition (Flavell, 1979) for learners.
Metacognition and Self-Regulated Learning: Guidance Report View guidance ↗
Policy guidance
Education Endowment Foundation (2018)
The EEF's work gives seven recommendations for teachers, plus classroom examples. They rate the strength of research behind each. Metacognition works for learners of all ages and subjects (EEF). Implementing it school-wide could help learners gain seven months progress (EEF).
Bjork et al. (2013) suggest effective learning techniques. Cognitive psychology provides helpful strategies. Dunlosky et al. (2013) found techniques improve learner results. Roediger and Karpicke (2006) show retrieval practice helps learners remember longer.
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., and Willingham, D. T. (2013)
Dunlosky et al. (2013) rated ten study techniques, finding rereading and highlighting ineffective. Poor learner self-assessment explained these techniques' low scores. Retrieval practice and elaboration scored highly (Dunlosky et al., 2013). Teachers can use this to support effective learner study skills.
Becoming a Self-Regulated Learner: An Overview View study ↗
Peer reviewed
Zimmerman, B. J. (2002)
Zimmerman (2000) described forethought, performance, and self-reflection in his model. This connects thinking about thinking to the learner's drive. Zimmerman (2000) said learners gain from self-belief, self-evaluation, and metacognition. The EEF supports teaching that builds thinking skills and a growth mindset.
Assessing Metacognitive Awareness View study ↗
Peer reviewed
Schraw, G. and Dennison, R. S. (1994)
Schraw and Dennison (1994) found knowledge and regulation are key learner skills. The Metacognitive Awareness Inventory helps teachers understand learner thinking. Zohar (2004) showed effective teaching supports all learners' success.
This week, choose one lesson where learners complete an extended task. Before they begin, ask them to spend two minutes writing down what they already know about the topic, what the task is actually asking them to do, and which strategy they plan to use. At the end, ask them to note what was harder than they expected and what they would do differently next time. Collect the planning slips and compare them with the finished work. The gap between what learners planned and what they actually produced will tell you more about their metacognitive regulation than any end-of-unit assessment.
Metacognition means learners think about their own thinking. In class, learners understand their learning and manage it. They plan, monitor, and evaluate their work (Flavell, 1979). This helps learners understand new material actively (Brown, 1987; Zimmerman, 2000).
EEF research shows metacognition is a top classroom strategy. It can boost learner progress by seven months a year. This gain holds true across ages and subjects (Education Endowment Foundation).
Researchers Dunlosky and Metcalfe (2009) say teachers show learners how they think. Model planning, monitoring and evaluation skills during lessons. Testing knowledge first works well, according to Karpicke and Blunt (2011).
Teachers often teach thinking skills without subject links. Reflection happens at the end, missing planning help (Bjork et al., 2013). Some may mistake poor awareness for bad behaviour (Flavell, 1979).
Learners often suffer from an illusion of knowing because they rely on ineffective study strategies like rereading notes. These methods feel easy and create a false sense of fluency. By switching to active retrieval practice, learners develop a much more accurate understanding of what they actually know.
Metacognition supports all subjects and learners. Hattie (2009) found explicit strategy instruction benefits SEND and neurodivergent learners. The EEF (2018) reported science and maths gains. Learners plan their problem-solving (Flavell, 1979).
Metacognitive reading strategies help learners check their understanding. They pause to summarise, question, and predict, (See, Think, Wonder) and (Think, Pair, Share) help learners reflect easily. (Researchers, various dates) find these methods work well.
Thinking frameworks help learners, especially with digital tools. Higgins et al. (2004) found regular practice improves self-regulation skills. Use these strategies consistently for better learner metacognition.
Metacognition helps learners progress seven months faster (Education Endowment Foundation). It is the best strategy in their toolkit. Flavell (1979) found three components. Many teachers see it as vague advice. This guide covers research and classroom activities for each component. This makes learner behaviour visible.
Metacognition means thinking about thinking. The term was introduced by John Flavell (1979), a developmental psychologist at Stanford, who defined it as "one's knowledge concerning one's own cognitive processes or anything related to them." In plain terms, it is the mental activity we use to oversee, direct, and evaluate our own learning. A learner who realises they have not understood a paragraph and decides to reread it is using metacognition. A learner who copies notes without noticing they cannot explain them is not.
Flavell (1979) noted three parts. Metacognitive knowledge is what a learner knows about learning strategies. It covers task types and what works best (Flavell, 1979). Metacognitive regulation actively manages thinking during work, like planning and checking progress (Flavell, 1979). Metacognitive experience is a learner's real-time feeling about how learning progresses (Flavell, 1979).
Metacognitive knowledge, skills and experience interact (Flavell, 1979). Learners may choose poor strategies if metacognitive knowledge is weak (Bjork et al., 2013). Good knowledge paired with poor monitoring means learners may lose focus (Nelson & Narens, 1990). Address all components when teaching metacognition (Zimmerman, 2000). Do not just ask for end-of-lesson reflections.
The EEF (2018) report shows metacognition helps learners. This approach gives learners seven months extra progress. Findings hold true across age groups, subjects, and needs. Studies by the EEF (2018) support this teaching method.
Hattie (2009) found self-reported grades had a very high effect size (d = 1.44). This shows learners' awareness links to achievement. Learners knowing their strengths study better. They also persevere and use feedback well.
Dunlosky et al. (2013) found elaborative interrogation, self-explanation, and practice testing help learners learn. Dunlosky et al. (2013) also showed rereading and highlighting lead to poor recall. Learners commonly choose less effective revision methods.
The cost of poor metacognition shows up most visibly in assessments. Learners who revise by reading through notes typically feel confident before an exam and perform worse than they expected. Learners who revise using retrieval practice feel less confident during revision but consistently outperform on the exam. This gap between perceived and actual learning is what Koriat and Bjork (2006) called an illusion of knowing. Teaching metacognition means teaching learners to distrust the feeling of fluency as a signal of learning.
Flavell (1979) identified three types of metacognitive knowledge. Person knowledge is what a learner thinks about their learning strengths. Task knowledge involves understanding different demands of varied tasks. Strategy knowledge means knowing which approaches work best (Flavell, 1979).
A concrete classroom example: in a Year 10 history lesson on the causes of the First World War, a learner with strong person knowledge recognises that they understand the political causes but are shakier on the economic ones. Strong task knowledge tells them that the essay format will require them to weigh and compare causes, not just list them. Strong strategy knowledge leads them to use a comparison graphic organiser to clarify the relationship between causes before drafting. Without any one of these three, the learner's preparation is less efficient.
Learners use metacognition in lessons. Planning uses prior knowledge and selects strategies (EEF, 2018). Monitoring checks understanding; learners see failed strategies. Evaluating judges work and reflects on strategies. Teach this cycle clearly (EEF, 2018).
Focus more on metacognitive experience in class. Flavell (1979) said it includes feelings about learning. Efklides (2006) showed confusion means a learner's method isn't working. Teach learners to view confusion as helpful data. Dunlosky & Metcalfe (2009) suggested modelling problem-solving.
EEF (2018) lists seven directly taught strategies, like spaced and retrieval practice. Learners actively process information; they shouldn't just receive it. Metacognition is vital; otherwise, these are just techniques (EEF, 2018).
Planning strategies are the most neglected of the three phases. Before a task, teach learners to ask: what do I already know about this? What do I not know? What does this task actually require me to do? What approach will I use, and why? A simple pre-task planning template can prompt this. In a science lesson, a teacher might spend two minutes before a written explanation task asking learners to write one thing they know confidently, one thing they are unsure of, and one strategy they will use to check their explanation is accurate. This activates metacognitive knowledge before learners begin, rather than leaving them to dive in unreflectively.
Learners miss understanding checks, which stops monitoring. Willingham (2009) says instructions need comprehension checks. Rosenshine (2012) advises teachers to pause and ask learners what confuses them. Red, amber, green cards show learner confidence. Naming confusion helps learners develop metacognitive skills.
Evaluating strategies at the end of tasks need to move beyond "did I finish?" to "did I understand, and how do I know?" A useful post-task prompt sequence is: what was the hardest part of this task? What strategy did I use, and did it work? What would I do differently next time? These three questions map directly onto metacognitive evaluation. For written work, learners can annotate their own drafts before receiving teacher feedback, identifying sentences they are unsure about. This calibrates their self-assessment against the teacher's feedback and builds metacognitive accuracy over time.
Kruger and Dunning (1999) showed new learners often overrate their knowledge. Expert learners underrate their abilities. Therefore, good self-assessment relies on metacognition.
Bjork (1994) found metacognition strategy transfer is sometimes weak. Learners may find it hard to plan, monitor, and evaluate across subjects. Nelson (1996) suggested that integration helps learning. Dunlosky (2009) recommends using relevant language and examples.
Learners check their understanding of maths problems before calculating (Schoenfeld, 1992). They might draw diagrams or note key information (Pape, 2004). "Worked example comparison" tasks help learners (Star et al., 2015). Learners compare solutions to find errors, which aids evaluation.
In English, metacognition most naturally applies to reading comprehension and writing planning. Before reading a challenging text, teachers can model "reading like a detective": what do the title and subheadings tell me? What genre is this, and what does that mean for how I read it? During reading, the "say something" technique asks learners to pause at marked points and articulate what they understand so far, what surprised them, and what they predict will come next. These are metacognitive monitoring behaviours made concrete and social.
Metacognition matters for science learners. They must know "explain why" questions need causal reasoning. Learners should grasp that recall tasks differ from application tasks (Zohar, 1999). Thinking strategies let learners plan and monitor their learning more precisely (Whitebread et al., 2015; Krätzig & Arbuthnott, 2006).
Weinstein et al. (2000) found metacognitive planning helps learners choose a stance before reading. Learners check sources for support, problems, or contradictions. Perry (1998) and Atherton (2003) showed annotations clarify this, aiding teaching and argument building.
Zimmerman (2002) describes self-regulated learning as forethought, performance, and self-reflection. These steps are similar to planning, monitoring, and evaluation. Zimmerman (2002) noted motivation drives self-regulation. Self-efficacy, goals, and outcome reactions influence this.
Learners need metacognition and motivation to succeed. The EEF (2018) found that maths learners avoid thinking about their learning if disengaged. The EEF (2018) recommend teaching growth mindset with metacognition to improve learner outcomes.
Dweck (2006) and Flavell (1979) provide teachers with classroom ideas. Growth mindset and metacognition boost learner progress.
Brown (1987) showed executive function, like working memory, supports learner self-regulation. Learners struggle to remember goals with weak memory. Teaching structures reduce cognitive load. Checklists support successful strategies (Bjork, 1994; Flavell, 1979).
This connects closely with research on theory of knowledge, which provides further classroom strategies for teachers.
Schraw and Dennison (1994) made the Metacognitive Awareness Inventory. It checks older learners' metacognitive knowledge and control. Their work showed these skills grow at different speeds. A learner may know retrieval helps but reread anyway. Instruction should target both areas for better learning.
Hart's (1965) research shows learners sense stored information, even if they cannot recall it. Teaching learners to recognise this feeling builds metacognitive awareness. This helps learners distinguish between feeling of knowing and actual recall.
Structured tools are the most reliable way to make metacognitive processes visible and teachable. When thinking is invisible, neither the teacher nor the learner can see where it is going wrong. When it is made explicit through a graphic organiser, a thinking routine, or a self-assessment prompt, both can observe, discuss, and improve it.
Graphic organisers are the most versatile metacognitive tool. A KWL chart (Know, Want to know, Learned) structures the planning and evaluating phases of a task. A Cornell notes template with a summary section at the bottom requires learners to compress and evaluate their own notes. A comparison table forces learners to make their own criteria for comparison explicit before filling it in. The metacognitive value of these tools comes from requiring learners to externalise their thinking before, during, or after a task, creating an artefact that can be reviewed and improved.
Project Zero routines improve learner thinking, research suggests. "See-Think-Wonder" helps learners observe carefully before forming ideas (Harvard University). "Think-Puzzle-Explore" uses knowledge to make learners question things (Project Zero). "I Used to Think, Now I Think" allows learners to consider changes in understanding. These routines give clear thinking steps, so you don't need to invent your own (Project Zero).
Thinking maps add a further layer: each map type corresponds to a specific cognitive task. A circle map (brainstorming context), a tree map (classifying), a brace map (analysing part-whole relationships). Teaching learners which map to choose for which task is itself metacognitive strategy knowledge. A learner who reaches for a flow map when they need to sequence a process, rather than drawing random boxes and arrows, is applying metacognitive knowledge about task demands and appropriate tools.
Metacognitive knowledge includes 'what', 'how', and 'when/why' (Paris et al., 1983). Learners find conditional knowledge (when and why) difficult. However, Paris et al. (1983) found it best supports knowledge transfer.
Structured reflection journals, used weekly rather than as a one-off task, build metacognitive evaluation as a habit. The most effective prompts are specific: "Write one thing you understood in today's lesson that you would be able to explain to someone else without looking at your notes. Write one thing you are still unsure about. Write what you plan to do before next lesson to address the gap." Generic prompts ("What did you learn today?") produce surface responses; specific prompts produce metacognitive thinking.
This connects closely with research on habits of mind, which provides further classroom strategies for teachers.
Metacognition is harder to assess than subject knowledge, but it is observable if you know what to look for. The most reliable indicators are behavioural: does the learner pause before beginning a complex task and appear to be planning? Do they check their work mid-task? Do they ask specific questions about what the task requires rather than just beginning? Do they revise their approach when an initial strategy is not working? These observable behaviours are more valid indicators of metacognitive regulation than self-report questionnaires alone.
Flavell (1979) showed metacognition supports learners. Schraw and Dennison (1994) gave teachers useful techniques. Researchers provide practical classroom strategies for metacognition. This helps teachers start metacognition activities with learners.
Calibration checks, before and after tasks, assess learners easily. Ask learners to rate their confidence (1-3) before starting, (Bjorkman, 1994). Learners compare confidence with results afterwards. A mismatch reveals a calibration gap (Hacker et al, 2000). Consistent accuracy shows metacognitive growth over time (Winne & Hadwin, 1998).
A judgment of learning (JOL) is a learner's prediction of how well they will remember material on a future test. Nelson and Narens (1990) found that delayed JOLs, made after a short gap rather than immediately, are far more accurate and help learners calibrate their revision effort.
Use think-alouds to check learner metacognition (Veenman, 2011). Learners say their thoughts aloud as they solve problems. Listen for planning, monitoring, and evaluating language. Its lack signals poor metacognitive skills (Zimmerman, 2000). Model think-alouds before learners attempt them (Flavell, 1979).
Portfolio assessment shows learner progress well, unlike tests. Planning sheets and self-assessments help learners monitor their own learning (EEF, 2018). Teachers note learners become more aware of their learning when they assess metacognition.
Flavell (1979) says metacognition actively manages thinking. It goes beyond simple reflection. Learners who list lesson points show reflection. Nelson and Narens (1990) think reflection alone may limit gains. End-of-lesson reflection can help learners consolidate knowledge.
A second misconception is that younger children cannot benefit from metacognitive instruction. The research does not support this. Brown et al. (1983) demonstrated that children as young as five can learn to monitor their own comprehension during story reading. EEF evidence confirms that primary-age learners show significant gains from metacognitive strategy instruction. The instruction needs to be concrete and language-rich, with teachers modelling metacognitive language explicitly. "I'm going to think out loud so you can hear what I'm doing in my head" is accessible to a Year 1 class. The concepts are simpler, but the principle is identical.
Flavell (1979) thought metacognition depends on the subject. Learners might find English techniques hard to use in maths. Explaining concepts changes between subjects. Subject-specific teaching works better than general skills (researchers).
This connects closely with research on learning to learn, which provides further classroom strategies for teachers.
Self-marking can teach learners to think about their learning. Sadler (1998) found unguided self-marking assesses superficially. White & Frederiksen (1998) say learners judge reasoning, not just right answers. Andrade & Valtierra (2001) showed structured methods boost thinking skills better.
Ennis (1993) and Halpern (1998) suggest practical strategies for critical thinking. Teachers can use these to help learners develop key reasoning skills. Willingham's (2007) research shows prior knowledge boosts learner thinking.
Without a supportive classroom culture, individual strategies show limited results. Learners need classrooms where admitting "I don't understand" sparks curiosity. Changing minds with new evidence should be intellectual strength. Frame difficulty as a normal part of learning, not a failure (Costa & Kallick, 2008; Dweck, 2006).
Classroom language is the most direct tool for building this culture. Teachers who consistently use metacognitive language model the behaviour they want learners to adopt. "I'm going to think about what I already know before we start" is metacognitive planning. "I noticed I made an error here and I want to understand why" is metacognitive evaluation. "This is confusing me, so I'm going to try a different approach" is metacognitive monitoring. When learners hear this language daily, they acquire the vocabulary and the habits that go with it. This is especially important for learners from disadvantaged backgrounds, who are less likely to have encountered this language at home.
Classroom routines that build in metacognitive moments are more reliable than activities that depend on teacher memory. A two-minute planning prompt before every extended writing task. A mid-task check-in question built into every practical activity. A post-task "what was hard and what did you do about it?" question before moving to the next lesson segment. When metacognitive pauses are structurally built into lesson design rather than added when time permits, they become normal and expected. Learners who experience them consistently across subjects and years develop them as genuine habits rather than performed responses.
Teachers should focus on scaffolding and metacognition. Scaffolding which replaces learner effort creates dependency. Teachers should prompt learners to monitor themselves, as in work by Vygotsky (1978). Scaffolding that supports effort builds independence, like in Wood et al.'s (1976) research. Effective instruction gradually reduces support, as learners gain skill.
Hattie (2009) linked metacognition with self-regulation. This benefits schools. Shared language improves learner results. Use common terms for planning, monitoring, and evaluation. The EEF's (2018) guide assists departments with metacognition. Teachers require no specialist training.
Thinking frameworks improve learners' metacognition. De Bono's Six Thinking Hats (de Bono) helps learners consider evidence and risks. Learners move past usual thought patterns this way. Bloom's Taxonomy, recall to evaluation, offers similar benefits.
What makes the difference between teachers who see genuine metacognitive growth in their classes and those who do not is rarely the choice of specific strategy or tool. It is consistency, explicitness, and the willingness to value the process of thinking as much as its products. Learners learn to think about their thinking when teachers persistently, visibly, and without embarrassment think about theirs.
These five studies and reports form the core evidence base for metacognitive instruction in classroom settings. Each is directly relevant to practising teachers.
Flavell (1979) showed metacognition helps learners understand their thinking. Nelson (1990) found cognitive monitoring lets learners check understanding. Pintrich (2002) proved these skills improve learner outcomes. Zohar & Dori (2012) saw these strategies benefit learners in all subjects.
Flavell, J. H. (1979)
Flavell (1979) defined metacognition, a key idea in learning. His framework includes knowledge, regulation, and experience. Teachers understand and use metacognition (Flavell, 1979) for learners.
Metacognition and Self-Regulated Learning: Guidance Report View guidance ↗
Policy guidance
Education Endowment Foundation (2018)
The EEF's work gives seven recommendations for teachers, plus classroom examples. They rate the strength of research behind each. Metacognition works for learners of all ages and subjects (EEF). Implementing it school-wide could help learners gain seven months progress (EEF).
Bjork et al. (2013) suggest effective learning techniques. Cognitive psychology provides helpful strategies. Dunlosky et al. (2013) found techniques improve learner results. Roediger and Karpicke (2006) show retrieval practice helps learners remember longer.
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., and Willingham, D. T. (2013)
Dunlosky et al. (2013) rated ten study techniques, finding rereading and highlighting ineffective. Poor learner self-assessment explained these techniques' low scores. Retrieval practice and elaboration scored highly (Dunlosky et al., 2013). Teachers can use this to support effective learner study skills.
Becoming a Self-Regulated Learner: An Overview View study ↗
Peer reviewed
Zimmerman, B. J. (2002)
Zimmerman (2000) described forethought, performance, and self-reflection in his model. This connects thinking about thinking to the learner's drive. Zimmerman (2000) said learners gain from self-belief, self-evaluation, and metacognition. The EEF supports teaching that builds thinking skills and a growth mindset.
Assessing Metacognitive Awareness View study ↗
Peer reviewed
Schraw, G. and Dennison, R. S. (1994)
Schraw and Dennison (1994) found knowledge and regulation are key learner skills. The Metacognitive Awareness Inventory helps teachers understand learner thinking. Zohar (2004) showed effective teaching supports all learners' success.
This week, choose one lesson where learners complete an extended task. Before they begin, ask them to spend two minutes writing down what they already know about the topic, what the task is actually asking them to do, and which strategy they plan to use. At the end, ask them to note what was harder than they expected and what they would do differently next time. Collect the planning slips and compare them with the finished work. The gap between what learners planned and what they actually produced will tell you more about their metacognitive regulation than any end-of-unit assessment.
Metacognition means learners think about their own thinking. In class, learners understand their learning and manage it. They plan, monitor, and evaluate their work (Flavell, 1979). This helps learners understand new material actively (Brown, 1987; Zimmerman, 2000).
EEF research shows metacognition is a top classroom strategy. It can boost learner progress by seven months a year. This gain holds true across ages and subjects (Education Endowment Foundation).
Researchers Dunlosky and Metcalfe (2009) say teachers show learners how they think. Model planning, monitoring and evaluation skills during lessons. Testing knowledge first works well, according to Karpicke and Blunt (2011).
Teachers often teach thinking skills without subject links. Reflection happens at the end, missing planning help (Bjork et al., 2013). Some may mistake poor awareness for bad behaviour (Flavell, 1979).
Learners often suffer from an illusion of knowing because they rely on ineffective study strategies like rereading notes. These methods feel easy and create a false sense of fluency. By switching to active retrieval practice, learners develop a much more accurate understanding of what they actually know.
Metacognition supports all subjects and learners. Hattie (2009) found explicit strategy instruction benefits SEND and neurodivergent learners. The EEF (2018) reported science and maths gains. Learners plan their problem-solving (Flavell, 1979).
Metacognitive reading strategies help learners check their understanding. They pause to summarise, question, and predict, (See, Think, Wonder) and (Think, Pair, Share) help learners reflect easily. (Researchers, various dates) find these methods work well.
Thinking frameworks help learners, especially with digital tools. Higgins et al. (2004) found regular practice improves self-regulation skills. Use these strategies consistently for better learner metacognition.
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