Metacognition¶
Theory · All theories
Evidence · 448 claims (208 for, 217 mixed, 23 against) · 225 studies (109 causal, 48 associational, 25 review, 16 theoretical, 12 quant-synthesis, 10 qualitative, 5 design),q1–q4· 81 of 225 report an effect size · 441 claims rest on one study
Description¶
Metacognition is knowledge about, and the ability to regulate, one's own cognitive processes — realistically judging how difficult a task will be, monitoring whether a strategy is working, and adjusting accordingly. It is closely related to, but distinct from, Executive Function Development: executive function is the underlying capacity to control and coordinate cognition, while metacognition is specifically the learner's own knowledge about that cognition and the strategies available to direct it.
Metacognitive strategy use develops gradually. Bjorklund (2005) and Schneider, Kron-Sperl, and Hunnerkopf (2009) trace a steady increase in strategy use across elementary school, and identify three distinct ways a learner can fail to benefit from a strategy, which matter for diagnosing why a particular intervention isn't working rather than simply concluding "the strategy doesn't work":
- Mediation deficiency — the learner doesn't understand the strategy at all, even when taught it directly.
- Production deficiency — the learner understands and can use the strategy when prompted, but doesn't spontaneously produce it on their own without a cue.
- Utilization deficiency — the learner spontaneously uses the strategy, but it doesn't yet actually improve performance, often because executing the strategy itself consumes so much cognitive effort that little capacity is left over for the task it's meant to support; this is common early in learning a new strategy and tends to resolve with practice.
A rough age-8 inflection point has been observed in some longitudinal work: strategies acquired before around age 8 tend to show gradual, incremental improvement with practice, while strategies acquired after age 8 show more of an "all-or-nothing" jump once the child grasps them (Sodian & Schneider, 1999) — though this pattern should be treated as a descriptive tendency from a specific line of research rather than a firm developmental law.
Implications¶
Context¶
- A learner who fails to benefit from a taught strategy may be experiencing any of three distinct problems (not understanding it, not spontaneously using it, or using it without yet benefiting from it) — and each calls for a different instructional response: reteaching, prompting/cueing, or simply more practice
- Utilization deficiency in particular means a newly-taught strategy may show no visible benefit, or even a temporary cost, before it becomes beneficial — a discouraging early phase that shouldn't be mistaken for the strategy being ineffective
Target Learners¶
- Elementary-age children, where strategy use (rehearsal, organization, visualization, mnemonics) develops most visibly across this age range
- Learners of any age newly acquiring an unfamiliar cognitive strategy, where utilization deficiency is a predictable early-stage phenomenon rather than a sign the strategy has failed
Target Learning Objectives¶
- Realistic self-assessment of task difficulty and one's own current performance
- Spontaneous, self-initiated use of previously-learned strategies without needing an external prompt
- Efficient execution of a strategy so that it frees rather than consumes cognitive capacity
Claims¶
- Fluent bilingualism is linked to metalinguistic awareness of how the two languages relate [+M]
- Access to AI advice roughly doubled reported confidence in answers in one experiment [+W] — attached 2026-10-10 from Chiara Marcoccia et al. (2026), which proposed "Epistemia: acceptance of AI output for surface fluency lowers the metacognitive threshold for answering".
- Metacognitive evaluations of effort and performance, rather than objective performance, drive spontaneous offloading [+W] — attached 2026-10-10 from Yufei Guo et al. (2026), which proposed "Nelson and Narens's dynamic metacognitive model applied to cognitive offloading: object level and meta level with monitoring and control"; tests this page's relationship.
- Feedback interventions show phase-specific effects: advice feedback reduces reminder bias, but ranking feedback alters beliefs without increasing offloading [~W] — attached 2026-10-10 from Yufei Guo et al. (2026), which proposed "Nelson and Narens's dynamic metacognitive model applied to cognitive offloading: object level and meta level with monitoring and control"; tests this page's relationship.
- People significantly underestimate AI-assisted completion times on simple cognitive tasks, even though AI assistance saves little or no actual time (the speedup illusion) [+W] — attached 2026-10-10 from Sunny Yu et al. (2026), which proposed "Asymmetric miscalibration account of cognitive offloading to AI (the speedup illusion framework)".
- Students' self-assessed question specificity was not significantly correlated with their observed specificity [~W] — attached 2026-10-11 from Hyoungwook Jin et al. (2026), which proposed "The pathway to targeted help-seeking: three metacognitive skills"; tests this page's relationship.
- The experiential group showed a delayed, continued within-group increase in regulation of cognition that the instructional group did not show [+W] — attached 2026-10-11 from Pau Benazet i Montobbio et al. (2026), which proposed "Temporal decoupling of metacognitive knowledge and regulation under experiential AI-assisted learning".
- Experiential instruction produces larger immediate pre-post gains than instructional lecture in AI engagement and metacognitive knowledge of cognition [+M] — attached 2026-10-11 from Pau Benazet i Montobbio et al. (2026), which proposed "Temporal decoupling of metacognitive knowledge and regulation under experiential AI-assisted learning".
- Reflection improves correspondence between perceived and behavioral reliance on ChatGPT [+M] — attached 2026-10-11 from Ren S (2026), which proposed "Metacognitive dependence: a descriptive framework for perceived–behavioral reliance mismatch in AI-assisted decisions"; tests this page's relationship.
- Better awareness calibration co-occurs with lower incorrect-advice acceptance and lower attribution bias, interpreted associationally only [+W] — attached 2026-10-11 from Ren S (2026), which proposed "Metacognitive dependence: a descriptive framework for perceived–behavioral reliance mismatch in AI-assisted decisions".
- GenAI novices develop prompting strategies through trial and error, starting from zero-shot prompts and refining them after unsatisfactory outputs [+W] — attached 2026-10-12 from Nicola Brocca (2026), which proposed "Human-in-the-loop LLM workflow as a metacognitive framework for AI-assisted learning".
- Most students reported improved output-evaluation competence after comparing their own text analysis with LLM-generated analyses [+W] — attached 2026-10-12 from Nicola Brocca (2026), which proposed "Human-in-the-loop LLM workflow as a metacognitive framework for AI-assisted learning".
- In both interaction-log and think-aloud records from a GenAI-assisted instructional-design task, regulation was the most frequent operational label and monitoring the least frequent [+W] — attached 2026-10-12 from Li Shijin et al. (2026), which proposed "Reciprocal monitoring–control architecture with planning as prospective control and regulation as adaptive control".
- Underuse of effective strategies may stem from false beliefs, lack of awareness, and the counter-intuitive nature of the strategies [+W] — attached 2026-10-13 from Carpenter et al. (2022), which proposed "Learner metacognition as awareness and regulation of one's own learning".
- People are well-calibrated about their own independent completion times [~W]
- AI-assisted task performance can rise without corresponding gains in underlying knowledge, metacognitive processing, or independent reasoning [~W]
- AI literacy instruction widened a confidence-knowledge gap: students' perceived understanding of AI tools increased significantly after instruction while actual knowledge improved minimally [~W]
- Metacognitive confidence about credit correlates with financial behaviors and advice giving, but knowledge performance does not correlate with behavior [~W]
- Within the AI-assisted group, the frequency of checking the AI's claims against sources predicted decision-making gains, with no students flagged for over-reliance [~W]
- In Experiment 1, lower confidence predicted greater offloading beyond objective performance in the no-feedback group, but not in the feedback group [~W]
- Review reports a developmental shift in cognitive offloading: children under-use external aids while adolescents over-rely on them [~W]
- Students in both conditions named awareness of their reliance on AI as the most valuable course outcome, and unrestricted-AI students described shallow engagement they could not stop [+W]
- People overestimate how much mental effort AI assistance alleviates (offloading illusion), driven by overestimating the effort of independent completion while AI-assisted effort is accurately estimated [+W]
- Learners fail to recognize the benefits of pre-instruction testing, ranking it as least effective despite benefiting from it [+W]
- Strategic cognitive offloading can support transformative learning only when the offloading decision is intentional [~W]
- People overestimate how much time AI assistance saves (speedup illusion), driven by miscalibration about AI-assisted completion time while independent completion time is well calibrated [+W]
- Individuals systematically overuse reminders relative to the optimal offloading level, and reminder bias correlates with confidence and metacognitive bias [~W]
- Surface validation can function while substantive validation fails: most participants detected flawed AI recommendations yet continued following them [~W]
- A theoretical article, citing two simulation studies, reports that novice clinical learners overestimated their performance and that their confidence exceeded their accuracy [-W]
- Trained students more often identify and remediate GenAI deficiencies such as visual errors and reasoning flaws [+W]
- Novice AI users showed a Trust-but-Can't-Verify pattern: accepting unfamiliar constructs they could not assess, then symptom-level debugging [~W]
- Students used visualizations to verify their own reasoning rather than as primary explanation tools, valuing control over their cognitive effort (agency) [+W]
- AI assistance can inflate confidence even after errors and reduce accuracy when AI is faulty (cognitive surrender) [~W]
- Checking can coexist with unresolved errors: 7 of 15 students failed a task containing plausible LLM falsehoods despite self-checking [-W]
- Practicing with AI did not create an illusion of mastery: participants reported learning and skill levels similar to other conditions [+W]
- LLM assistance can enhance employees' creativity, especially for those with skills to reflect on AI use [+W]
- Participants substantially overestimated their performance in all trace conditions, with the largest overestimation under full traces [-W]
- The regulated 'think first, ChatGPT later' group outperformed both other groups in independent originality on the unassisted task despite no assisted-task advantage [~W]
- Task completion with GenAI is a weak proxy for durable competence, with struggling learners at risk of an illusion of competence [+W]
- Students do not perceive the learning harm from copying GPT solutions and overestimate their exam performance [+W]
- Verification behavior lagged rising AI use: minimal or conditional verification more than doubled (5 to 12) over the semester [~W]
- Self-regulation limits supported a targeted teacher role: many students rarely thought before asking AI or could not tell when an AI explanation was wrong [+W]
- Participants more averse to thinking are more susceptible to the speedup illusion; AI familiarity measures do not predict calibration error [~W]
- How a user engages with AI matters more than whether: structured, deliberate engagement can mitigate or reverse offloading effects [~W]
- Students hit a metacognitive ceiling, endorsing high-level creation more frequently than the hardest metacognitive and evaluative thresholds in their ordering [~W]
- Sketching during reading yielded the most accurate comprehension monitoring, with significantly less absolute error than photograph, no-image, and animation conditions [+M] — attached 2026-10-15 from Wiley (2019), which proposed "Deception account of seduction effects on comprehension monitoring"; tests this page's relationship.
- Readers in all conditions except sketching were overconfident, with the most overconfidence in the photograph condition and the least in the sketching condition [+M] — attached 2026-10-15 from Wiley (2019), which proposed "Deception account of seduction effects on comprehension monitoring"; tests this page's relationship.
- Rereading significantly improves metacomprehension monitoring accuracy relative to reading once (Experiment 1) [+W] — attached 2026-10-16 from Griffin et al. (2008), which proposed "Concurrent-processing and cue-validity account of metacomprehension accuracy".
- Reading comprehension ability predicts monitoring accuracy after a single reading but not after rereading (Experiments 1 and 2) [+W] — attached 2026-10-16 from Griffin et al. (2008), which proposed "Concurrent-processing and cue-validity account of metacomprehension accuracy".
- Working memory capacity predicts monitoring accuracy after a single reading but not after rereading, independently of comprehension ability (Experiment 2) [+W] — attached 2026-10-16 from Griffin et al. (2008), which proposed "Concurrent-processing and cue-validity account of metacomprehension accuracy".
- A self-explanation instruction during rereading improves monitoring accuracy for all readers above mere rereading (Experiment 2) [+W] — attached 2026-10-16 from Griffin et al. (2008), which proposed "Concurrent-processing and cue-validity account of metacomprehension accuracy".
- Perceived usefulness of ChatGPT, an invalid cue, is associated with overestimation of performance [+M] — attached 2026-10-16 from Urban et al. (2024), which proposed "Hybrid human-AI regulation (HHAIR) theory as applied to metacognitive demands of ChatGPT-assisted problem-solving"; tests this page's relationship.
- ChatGPT use does not change absolute self-evaluation accuracy, but self-evaluation judgments fail to correlate with performance under ChatGPT assistance [~M] — attached 2026-10-16 from Urban et al. (2024), which proposed "Hybrid human-AI regulation (HHAIR) theory as applied to metacognitive demands of ChatGPT-assisted problem-solving"; tests this page's relationship.
- Metacognitive reflection training improves young children's DCCS performance, with behavioral and neural changes [+W] — attached 2026-10-16 from Buttelmann F et al. (2017), which proposed "Metacognitive EF training: qualitatively changing how children engage executive functions to support flexible adaptation and transfer".
- Metacognitive ability increases with age during adolescence and plateaus in adulthood when task performance is held constant [+W] — attached 2026-10-16 from Weil L.G. et al. (2013), which proposed "Metacognitive ability as a dissociable monitoring component measured by type II signal detection theory".
- The adolescent improvement in metacognitive ability is independent of perceptual task performance, which was clamped and uncorrelated with age [+W] — attached 2026-10-16 from Weil L.G. et al. (2013), which proposed "Metacognitive ability as a dissociable monitoring component measured by type II signal detection theory".
- Backward-associated word pairs produce a foresight bias: judgments of learning are inflated relative to actual recall when the dominant association runs from target to cue [+W] — attached 2026-10-16 from Koriat et al. (2006), which proposed "The foresight bias account: overconfidence arises from the mismatch between study conditions, where the answer is present, and test conditions, where it is absent".
- Test experience alleviates the foresight bias more effectively than study experience [+W] — attached 2026-10-16 from Koriat et al. (2006), which proposed "The foresight bias account: overconfidence arises from the mismatch between study conditions, where the answer is present, and test conditions, where it is absent".
- Delaying judgments of learning after study markedly reduces, but does not eliminate, the foresight bias [+W] — attached 2026-10-16 from Koriat et al. (2006), which proposed "The foresight bias account: overconfidence arises from the mismatch between study conditions, where the answer is present, and test conditions, where it is absent".
- Five-year-old children reveal metacognitive knowledge of self, others, universal properties of cognition, and task-specific strategies during peer interactions in mathematical measurement activities [+W] — attached 2026-10-17 from Ebru Aydın (2022), which proposed "Four-category coding framework for young children's metacognitive knowledge: knowledge of self, others, universal properties of cognition, and task-specific strategies".
- Children express metacognitive knowledge of self by identifying their own mistakes and weaknesses in academic working skills during measurement activities [+W] — attached 2026-10-17 from Ebru Aydın (2022), which proposed "Four-category coding framework for young children's metacognitive knowledge: knowledge of self, others, universal properties of cognition, and task-specific strategies".
- Children's statements about universal properties of cognition emerged only in weight and volume measurement activities, not in length or area activities [~W] — attached 2026-10-17 from Ebru Aydın (2022), which proposed "Four-category coding framework for young children's metacognitive knowledge: knowledge of self, others, universal properties of cognition, and task-specific strategies".
- Older adults show higher retrospective metacognitive accuracy than young adults in the selection-only task, especially on homogeneous unit-digit problems, but comparable accuracy in the selection-execution task [~M] — attached 2026-10-17 from Marie Geurten et al. (2017), which proposed "Resource account of age invariance and decline in metacognition for strategy selection"; tests this page's relationship.
- Aging does not materially reduce the relative accuracy (resolution) of judgments of learning during encoding, with cross-sectional evidence of no age declines and even age-related increases in aggregate JOL resolution across ages 18 to 81 [~W] — attached 2026-10-17 from Hertzog C (2011), which proposed "Metacognition as monitoring plus control in a reciprocal relation, forming the basis of self-regulated learning".
- Training metacognitive self-regulation (self-testing plus selective restudy) produced greater paired-associate learning improvements in older adults than traditional encoding-strategy training when study was self-paced [+W] — attached 2026-10-17 from Hertzog C (2011), which proposed "Metacognition as monitoring plus control in a reciprocal relation, forming the basis of self-regulated learning".
- Feeling-of-knowing resolution for episodic memory depends on underlying memory quality: repeated presentations raised FOK resolution for both age groups, with a larger benefit for older adults, and FOK resolution was at least as good for older adults tested with a 48-hour delay as for younger adults [+W] — attached 2026-10-17 from Hertzog C (2011), which proposed "Memory-quality account of episodic feeling-of-knowing resolution: FOK accuracy derives from the diagnosticity of cues produced by encoding quality".
- From age 4, children spontaneously devise multiple previously unseen reminder-setting strategies across transfer trials, with this tendency increasing with age [+W] — attached 2026-10-17 from Armitage et al. (2023), which proposed "External metacognitive offloading: awareness of one's own cognitive struggles used to offload internal demand into the environment".
- Drawing after learning, both from scratch and with spatial scaffolds, improves absolute monitoring accuracy (calibration) compared with a time-matched mental reactivation control condition [+W] — attached 2026-10-18 from Julia Kollmer et al. (2020), which proposed "Generative tasks foster metacognitive monitoring by prompting situation-model reasoning that yields more diagnostic JOL cues".
- Drawing quality predicted JOLs to a similar extent in both drawing conditions, contrary to the expectation that scaffolds would strengthen this cue use [~W] — attached 2026-10-18 from Julia Kollmer et al. (2020), which proposed "Generative tasks foster metacognitive monitoring by prompting situation-model reasoning that yields more diagnostic JOL cues".
- In BioWorld, confidence was tied to final diagnostic accuracy but not to the first hypothesis [+W] — attached 2026-10-18 from Lajoie et al. (2001), which proposed "Belief meter and evidence palette as memory and metacognitive scaffolds".
- Peer discussion and poster activities prompted students to articulate and revise their ideas, with metaconceptual awareness and evaluation observed [+W] — attached 2026-10-18 from Osman Sabancı (2026), which proposed "Metaconceptual processes framework: awareness, monitoring, and evaluation".
- Providing expert example standards enhances absolute judgment accuracy in evaluating self-generated examples [+M] — attached 2026-10-19 from Linda Froese (2022), which proposed "Standards must represent concrete correct responses to enhance judgment accuracy".
- Metacognitive awareness among multidisciplinary university students emerges as two dimensions: knowledge about cognition and regulation of cognition [+W] — attached 2026-10-19 from Tuononen et al. (2023), which proposed "Two-component model of metacognitive awareness: knowledge about cognition and regulation of cognition"; tests this page's relationship.
- Metacognition is significantly and positively related to EFL students' academic writing performance (Model 1) [+W] — attached 2026-10-19 from Mark Feng Teng (2022), which proposed "Multi-faceted framework of metacognition: monitoring and control across knowledge, experiences, and skills".
- Metacognition is significantly and positively associated with EFL students' critical thinking skills (Model 2) [+W] — attached 2026-10-19 from Mark Feng Teng (2022), which proposed "Multi-faceted framework of metacognition: monitoring and control across knowledge, experiences, and skills".
- Making JOLs with word stems enhances interim recall of new List-5 material compared to restudy [+M] — attached 2026-10-19 from Veit Kubik et al. (2022), which proposed "Covert retrieval account of the forward effect of metacognitive judgments"; tests this page's relationship.
- Making JOLs with complete words did not significantly enhance interim recall of new List-5 material compared to restudy [~W] — attached 2026-10-19 from Veit Kubik et al. (2022), which proposed "Covert retrieval account of the forward effect of metacognitive judgments"; tests this page's relationship.
- Kindergarteners spontaneously use choice latency as a cue for confidence judgments, with shorter latencies linked to higher confidence [+W] — attached 2026-10-19 from Kristin Kolloff et al. (2025), which proposed "Cue utilization framework combined with Efklides' multilevel metacognition model as basis for monitoring training".
- Choice latency is a valid cue for kindergarteners: faster recognition responses are associated with correct answers [+W] — attached 2026-10-19 from Kristin Kolloff et al. (2025), which proposed "Cue utilization framework combined with Efklides' multilevel metacognition model as basis for monitoring training"; tests this page's relationship.
- Eliciting confidence ratings leads to poorer metacognitive monitoring in older adults [~W] — attached 2026-10-19 from Double et al. (2018), which proposed "Two-stage model of reactivity to confidence ratings".
- Confidence ratings shift time allocation on a timed task in opposite directions for high- versus low-confidence older adults [~W] — attached 2026-10-19 from Double et al. (2018), which proposed "Two-stage model of reactivity to confidence ratings"; tests this page's relationship.
- Metacognitive judgement positively predicts perceived individual performance in CPS, which mediates perceived group performance [+W] — attached 2026-10-19 from Çini et al. (2023), which proposed "Three-level framework of metacognitive awareness (individual, social, environmental)".
- Simulation feedback predicts sadness and neutral facial expressions and metacognitive judgement, but not perceived task difficulty [~W] — attached 2026-10-19 from Çini et al. (2023), which proposed "Three-level framework of metacognitive awareness (individual, social, environmental)".
- Learners request additional information mainly on items where their (adjusted) confidence is low, indicating confidence-based metacognitive regulation [+M] — attached 2026-10-19 from Schnaubert et al. (2021), which proposed "Socio-cognitive information as an external cue in metacognitive monitoring and control"; tests this page's relationship.
- After learners adjust their confidence, the degree of socio-cognitive conflict is equivalent to zero as a predictor of information requests [~M] — attached 2026-10-19 from Schnaubert et al. (2021), which proposed "Socio-cognitive information as an external cue in metacognitive monitoring and control".
- Calibration of JOLs shifts toward underconfidence across learning cycles for action phrases under both verbal and enactive encoding, without first-cycle overconfidence [+W] — attached 2026-10-19 from Kubik et al. (2022), which proposed "Three theoretical accounts of the underconfidence-with-practice effect: mnemonic debiasing, memory for past test, and anchoring-and-adjustment".
- Past-test correlations exceed concurrent resolution scores, and JOLs rise for previously recalled items while falling for nonrecalled items [+W] — attached 2026-10-19 from Kubik et al. (2022), which proposed "Three theoretical accounts of the underconfidence-with-practice effect: mnemonic debiasing, memory for past test, and anchoring-and-adjustment".
- JOLs for study–test items increase faster across cycles than JOLs for study–study items, reducing underconfidence relative to restudy practice [+M] — attached 2026-10-19 from Kubik et al. (2022), which proposed "Three theoretical accounts of the underconfidence-with-practice effect: mnemonic debiasing, memory for past test, and anchoring-and-adjustment".
- Adults' confidence judgments track answer accuracy: confidence is higher on correct than incorrect general-knowledge trials (metacognitive monitoring) [+W] — attached 2026-10-19 from Sunae Kim et al. (2025), which proposed "Curiosity serves a metacognitive function: a bidirectional account linking curiosity to metacognitive monitoring and control".
- Adults opt out of answering more on trials they later answer incorrectly, and curiosity is higher on opted-out trials (metacognitive control) [+M] — attached 2026-10-19 from Sunae Kim et al. (2025), which proposed "Curiosity serves a metacognitive function: a bidirectional account linking curiosity to metacognitive monitoring and control"; tests this page's relationship.
- Better inhibition skills in kindergarten predict less overconfident metacognitive monitoring in 2nd grade, explaining 11% of variance [+M] — attached 2026-10-19 from Sonja Kälin (2022), which proposed "Inhibition-as-prerequisite account: inhibition enables children to hesitate and take time when monitoring, producing less overconfident judgments".
- Inhibition–monitoring links were cross-sectionally significant in kindergarten but not in 2nd grade [~M] — attached 2026-10-19 from Sonja Kälin (2022), which proposed "Inhibition-as-prerequisite account: inhibition enables children to hesitate and take time when monitoring, producing less overconfident judgments".
- Monitoring accuracy predicts comprehension-based regulation accuracy, and cue availability also has an indirect effect on regulation accuracy via monitoring accuracy [+W] — attached 2026-10-19 from Janneke van de Pol et al. (2021), which proposed "Cue-utilization framework applied to teacher monitoring of student text comprehension".
- Diagramming scaffold improves relative metacomprehension accuracy for causal relations in expository texts [+W] — attached 2026-10-19 from Pijeira-Díaz et al. (2023), which proposed "Cue-utilization framework for metacomprehension and the diagramming paradigm".
- Diagramming scaffold also improves absolute metacomprehension accuracy for causal relations, extending the effect beyond relative accuracy [+W] — attached 2026-10-19 from Pijeira-Díaz et al. (2023), which proposed "Cue-utilization framework for metacomprehension and the diagramming paradigm".
- Adding diagram self-assessment to diagram completion does not increase diagnostic cue utilization or metacomprehension accuracy beyond diagramming alone [~W] — attached 2026-10-19 from Pijeira-Díaz et al. (2023), which proposed "Cue-utilization framework for metacomprehension and the diagramming paradigm".
- Among university students, poorer calibration accuracy is accompanied by lower confidence in the performance estimate, independent of performance level [+W] — attached 2026-10-19 from Marloes L. Nederhand et al. (2021), which proposed "Second-order judgements as a measure of metacognitive awareness that hinges on calibration accuracy rather than performance level".
- Among secondary school students, calibration accuracy is unrelated to confidence in performance estimates across French, Math, and German exams [~W] — attached 2026-10-19 from Marloes L. Nederhand et al. (2021), which proposed "Second-order judgements as a measure of metacognitive awareness that hinges on calibration accuracy rather than performance level".
- Domain-specific self-concept relates more strongly to global than to local postdicted judgments, while most other motivational and personality variables do not differ [+M] — attached 2026-10-19 from Marion Händel et al. (2020), which proposed "Cue-utilization approach to metacognitive judgments".
- Global predictions rely on domain-specific self-concept but not on test performance, unlike postdictions [+M] — attached 2026-10-19 from Marion Händel et al. (2020), which proposed "Cue-utilization approach to metacognitive judgments".
- EOL judgments are highly accurate when items vary widely in difficulty within a list, but poorly accurate when variation is small [+M] — attached 2026-10-19 from Jemstedt et al. (2017), which proposed "Cue-utilization account of ease of learning judgments"; tests this page's relationship.
- EOL judgments rely heavily on semantic relatedness, whose predictive validity appears to cap attainable EOL accuracy [+W] — attached 2026-10-19 from Jemstedt et al. (2017), which proposed "Cue-utilization account of ease of learning judgments"; tests this page's relationship.
- Self-report metacognitive knowledge (MAI subscales) does not significantly predict metacognitive sensitivity [~W] — attached 2026-10-19 from Terneusen et al. (2024), which proposed "Neuropsychological model of metacognition: metacognitive knowledge and online awareness (monitoring and self-regulation)".
- Lower (better) retrospective discrepancy scores predict higher metacognitive sensitivity on a memory task [+W] — attached 2026-10-19 from Terneusen et al. (2024), which proposed "Neuropsychological model of metacognition: metacognitive knowledge and online awareness (monitoring and self-regulation)".
- Generating keywords after a delay increases relative judgment accuracy compared with no keyword generation, replicating the keyword effect with a new sample and new materials [+M] — attached 2026-10-19 from Waldeyer et al. (2021), which proposed "Situation model account of the keyword effect".
- The keyword-quality–JOL correlation increases after comparison with expert keywords, indicating learners exploit keyword quality as a cue only when given external standards [+M] — attached 2026-10-19 from Waldeyer et al. (2021), which proposed "Situation model account of the keyword effect".
- Meta-level (meta-strategic and epistemic) talk in the two conditions followed a comparable pattern until reflective activities were introduced, after which the patterns differed [+W] — attached 2026-10-19 from Iordanou (2022), which proposed "Metacognition as competence and disposition: meta-strategic knowledge and epistemic understanding as two meta-level forms supporting strategic argument performance"; tests this page's relationship.
- Metacognitive sensitivity (meta-d') in the visual modality is highest among Chinese speakers and lowest among Arabic speakers, with no group differences in the auditory modality [+W] — attached 2026-10-19 from Polyanskaya et al. (2024), which proposed "Writing-system account: sound-to-symbol mapping transparency and the range of monitored cognitive processes shape metacognitive monitoring of visually presented word learning".
- Linguistic group and perceptual modality show a significant disordinal interaction in metacognition: Arabic speakers monitor better in the auditory modality, Chinese speakers in the visual modality [+M] — attached 2026-10-19 from Polyanskaya et al. (2024), which proposed "Writing-system account: sound-to-symbol mapping transparency and the range of monitored cognitive processes shape metacognitive monitoring of visually presented word learning".
- Hybrid training fosters far transfer of metacognitive skills to a new cognitive strategy, though one hybrid condition did not beat control [~W] — attached 2026-10-19 from Schuster et al. (2020), which proposed "Task-generality account of metacognitive skills within self-regulated learning"; tests this page's relationship.
- Hybrid training improves fifth-graders' application of metacognitive skills in near-transfer tasks compared to non-hybrid and control training [+W] — attached 2026-10-19 from Schuster et al. (2020), which proposed "Task-generality account of metacognitive skills within self-regulated learning"; tests this page's relationship.
- Tenth-graders show few signs of global task awareness when selecting text fragments, rarely rereading or deeply processing task instructions [+W] — attached 2026-10-19 from Gonny L. M. Schellings et al. (2011), which proposed "Two-level model of task awareness in text selection (global and local task levels)".
- The association between confidence and help seeking is weaker than the association between confidence and withholding answers [~W] — attached 2026-10-19 from Monika Undorf et al. (2021), which proposed "Metacognitive monitoring-control framework for question answering, indexed by control sensitivity".
- Reanalysis of the inconsistent target word (longer rereading time and higher revisit probability) is associated with higher consistency judgement accuracy in inconsistent texts, but not in consistent texts [+W] — attached 2026-10-19 from Catharina Tibken (2025), which proposed "Two-Step Model of Validation: passive validation detects inconsistencies, but resolving them requires metacognitive effort"; tests this page's relationship.
- The metacognitive scale yields two factors: Global/Monitoring and Problem Solving [+W] — attached 2026-10-19 from Burin et al. (2020), which proposed "Task-referenced metacognitive regulation in e-learning reading: Global/Monitoring and Problem Solving as two regulatory dimensions".
- Self-reported metacognitive regulation of reading contributes to expository digital text comprehension in a home e-learning environment [+W] — attached 2026-10-19 from Burin et al. (2020), which proposed "Task-referenced metacognitive regulation in e-learning reading: Global/Monitoring and Problem Solving as two regulatory dimensions"; tests this page's relationship.
- Students use positive and negative achievement emotions as cues when making predictions about their comprehension [+M] — attached 2026-10-19 from Prinz-Weiß et al. (2023), which proposed "Cue-utilization framework extended to achievement emotions as metacomprehension judgment cues".
- Students also use achievement emotions as cues when making postdictions about their comprehension [+M] — attached 2026-10-19 from Prinz-Weiß et al. (2023), which proposed "Cue-utilization framework extended to achievement emotions as metacomprehension judgment cues".
- Stronger positive emotions are associated with less underconfident postdictions, and anxiety and shame with more underconfident postdictions [+W] — attached 2026-10-19 from Prinz-Weiß et al. (2023), which proposed "Cue-utilization framework extended to achievement emotions as metacomprehension judgment cues".
- Metacognitive efficiency shows partial domain-general structure: strong shared metacognition between lexical decision and emotion recognition tasks [+M] — attached 2026-10-19 from Ioanna Taouki et al. (2022), which proposed "Procedural metacognition as object-level/meta-level monitoring and control".
- Metacognitive efficiency at Grade 1 predicts children's performance improvement 10 months later in both a linguistic and a non-linguistic task [+W] — attached 2026-10-19 from Ioanna Taouki et al. (2022), which proposed "Procedural metacognition as object-level/meta-level monitoring and control"; tests this page's relationship.
- Instructional visuals reduced draw relative metacomprehension accuracy compared to text-only condition [-M] — attached 2026-10-19 from Jaeger et al. (2024), which proposed "Judgment type moderates how instructional visuals affect metacomprehension through cue utilization".
- Students reported using visual cues for draw judgments but not for test or explain judgments [+W] — attached 2026-10-19 from Jaeger et al. (2024), which proposed "Judgment type moderates how instructional visuals affect metacomprehension through cue utilization".
- Metacognitive confidence moderates the effect of thought valence on academic performance: confidence amplifies positive thoughts' benefits and negative thoughts' harm [+W] — attached 2026-10-19 from Moreno et al. (2022), which proposed "Self-validation theory: perceived validity of primary cognitions determines whether they guide judgment and action".
- Self-report measures of metacognition support a two-factor structure separating metacognitive knowledge from metacognitive regulation [+W] — attached 2026-10-19 from Craig et al. (2020), which proposed "Competing taxonomies of metacognition: Flavell's four areas and later two-factor, self/other, and three-factor modifications"; tests this page's relationship.
- Math self-efficacy (first four SNS items) was the only variable significantly predicting monitoring judgments on all four health math problems [+W] — attached 2026-10-19 from Scheibe et al. (2022), which proposed "Cue-utilization theory of metacognitive monitoring".
- Adults who answered health math problems correctly reported higher monitoring judgments than those who answered incorrectly, with larger differences at posttest than pretest [~W] — attached 2026-10-19 from Scheibe et al. (2022), which proposed "Cue-utilization theory of metacognitive monitoring".
- High achievers are more accurate than low achievers in metacognitive monitoring and controlling during test taking [+W] — attached 2026-10-19 from Krebs et al. (2012), which proposed "Metacognitive development is fueled by both cognitive resources (achievement level) and mnemonic experience (age)".
- Older children (11/12-year-olds) outperform younger children (9/10-year-olds) when considering characteristics of on-going retrieval processes [+W] — attached 2026-10-19 from Krebs et al. (2012), which proposed "Metacognitive development is fueled by both cognitive resources (achievement level) and mnemonic experience (age)".
- When facing higher demands regarding retrieval processes, mnemonic experience (age) seems to play the more important role in metacognitive performance [~W] — attached 2026-10-19 from Krebs et al. (2012), which proposed "Metacognitive development is fueled by both cognitive resources (achievement level) and mnemonic experience (age)".
- Pre-monitoring judgments before recognition increase rather than decrease overconfidence in kindergartners and second graders [+M] — attached 2026-10-19 from Sophie Wacker (2024), which proposed "Memory-metamemory interplay account of children's overconfidence".
- Children's recognition choices overwhelmingly follow the alternative given the highest pre-monitoring judgment [+W] — attached 2026-10-19 from Sophie Wacker (2024), which proposed "Memory-metamemory interplay account of children's overconfidence"; tests this page's relationship.
- Metacognitive regulation of learning imposes additional cognitive load (metacognitive load) on top of the load of actual learning [+W] — attached 2026-10-19 from Wirth et al. (2025), which proposed "Effort Monitoring and Regulation (EMR) framework for metacognitive regulation of investing mental effort".
- Situation-model-approach interventions produce a medium positive average effect (g = 0.46) on relative metacomprehension accuracy [+W] — attached 2026-10-19 from Anja Prinz et al. (2020), which proposed "Situation-model approach to metacomprehension within the cue-utilization framework".
- Across all adult age groups and both genders, global performance judgments of mathematics and reading competence are on average overestimated [+W]
- Fourth graders monitor and control answers to open-ended questions more accurately than second graders, but no significant age difference was found for true-false questions [+W]
- Students' own cognitive and metacognitive activities predict learning, off-task activity lowers metacognitive knowledge, and group mates' relational activities raise domain knowledge [+W]
- Increased physiological arousal relates to less monitoring with neutral valence [~W]
- Bias scores did not improve over the school year, but school year level mattered: year 1 students became less overconfident while year 3 students improved their underconfidence [~W]
- During a collaborative exam, every group member contributed to joint monitoring, and students monitored cognition far more often than behaviour or motivation and emotions. [~W]
- Overconfidence (bias) decreased from pretest to posttest across all groups including control, with no group differences [~W]
- Age moderated change in metacognitive regulation, with younger children decreasing and older children increasing between pre- and post-test [~W]
- Collaborative and metacognitive engagement reciprocally predict each other over time [~W]
- Older age groups report lower global performance judgments of their reading competence, controlling for education [~W]
- Calibration (judgment accuracy) measures such as the Goodman-Kruskall gamma coefficient and signal detection theory's d' can be empirically compared, and calibration may vary across knowledge domains [~W]
- Comprehension judgments and performance predictions correlate highly, supporting the validity of the study's z-standardized bias measure to some extent [+W]
- EOL relative accuracy is reliably higher when correlated with a binary recall criterion than with a trials-to-learn criterion [~W]
- More frequent cognitive strategy instruction is negatively related to the effectiveness of children's restudy selections [~W]
- Eliciting confidence ratings impairs rule-based category learning compared to both no-rating and judgment-of-learning conditions on ambiguous transfer items [~W]
- The cue-diagnosticity intervention improved teachers' calibration: confidence and judgment accuracy became more aligned [~W]
- Confidence ratings are unlikely to be an effective educational tool when knowledge transfer is the goal [~W]
- All children in the study showed adequate metacognitive processes before and during test taking [~W]
- Disfluency affects judgments of learning only when it is the only available cue; item relatedness overpowers it [~W]
- Correctness Confidence did not significantly predict recall accuracy, contrary to the authors' hypothesis [-W]
- Generating examples produces overconfident judgments of learning, especially for principles and procedures [~W]
- Enactment impairs resolution of JOLs relative to verbal encoding of action phrases [~W]
- Cognitive processing differs by text type: participants engaged in more epistemic processing, meta-comprehension, and coherence-based processing when reading the other-side text than the own-side text [+W]
- In Experiment 1, retrospective judgments after firsthand experience still showed the metacognitive illusion, and it was amplified in participants who had earlier given prospective judgments [~W] — (also cited [+M])
- Learners generally underestimate how fast they will learn word pairs, and this underconfidence is larger for low-variability lists [+W]
- The type of EOL task (difficulty vs. trials-to-learn scale) does not reliably affect EOL accuracy [~W]
- Elementary school children show distinct latent profiles of procedural metacognition combining monitoring accuracy, restudy effectiveness, and decision accuracy across tasks [+W]
- JOL-memory dissociation occurs only when font size ranges between very small and intermediate [~W]
- Effective restudy selection is the metacognitive skill that most distinguishes children's profiles [~W]
- Comparing self-generated keywords with expert keywords increases bias, specifically underconfidence [~W]
- In Experiment 2, children's confidence-task performance correlated with Winner and Ask choices but not Endorse choices, controlling for age [~W]
- In Experiment 1, task-selection accuracy during the no-feedback test phase did not differ between feedback and control conditions [~W]
- Most students who ultimately failed the exam still expected to pass three days before it, showing persistent overconfidence despite knowledge gain [+W]
- Neither monitoring feedback nor performance feedback improved kindergarteners' monitoring accuracy relative to an active control [-W]
- Global judgments of learning correlate moderately-to-strongly with final test performance in both individual and paired conditions [~W]
- Fourth graders with low metacognition tend to remain low one year later, particularly showing ineffective restudy decisions [+W]
- In Experiment 2, task-selection accuracy during the learning phase did not differ between feedback and control conditions, unlike Experiment 1 [~W]
- Students use self-initiated strategies of verification, skill improvement, post-editing, pre-editing and reliance management to cope with GenAI challenges [+W]
- Providing expert example standards reduces bias in learners' evaluations of self-generated examples [~W]
- Men reported higher monitoring judgments on health math problems than women, even accounting for performance accuracy [~W]
- Larger font sizes produce higher judgments of learning than smaller font sizes, with a small-to-moderate pooled effect [~W]
- Larger fonts reliably increase both JOLs and memory only under specific boundary conditions: intermediate-to-very-large sizes, unrelated word lists, immediate JOLs, and brief study time [~W]
- Fourth graders outperform second graders on secret-code performance and restudy effectiveness, but not on self-monitoring discrimination [~W]
- Before metacognitive skill training, fifth graders possessed none of the metacognitive skills later trained, so metacognitive skills are task-specific at first and become domain-general only through transfer [+W]
- Feedback training did not change children's cue utilization despite repeated metacognitive experiences [-W]
- Several sophisticated metacognitive regulation activities showed little to no variance among grade 5 students during think-aloud problem solving [~W]
- Providing cognitive and metacognitive group awareness information did not have the expected impact on learning outcomes despite knowledge and confidence gains [-W]
- Students in differentiated classes grow significantly more on elaboration, critical thinking, metacognitive self-regulation and effort regulation [+W]
- Guessing biases calibration measures toward underconfidence, strongest for the lowest performers [~W]
- Making judgments of learning produced overall negative reactivity: participants making JOLs recalled fewer word pairs than participants not making JOLs [~W]
- JOLs and memory both increase with font size rather than being completely dissociated [~W]
- Resolution of JOLs increases across study–test cycles, improving between Cycles 1 and 2 but not from Cycle 2 to Cycle 3 [+W]
- Judgments of learning are higher for easy than difficult items at all ages and increase with age, confirming the difficulty manipulation aligned with subjective difficulty [+W]
- JOL reactivity differed by age: making JOLs impaired older adults' recall but did not affect younger adults' recall [~W]
- Illusion of control impairs transfer performance: learners whose expected control matched actual control outperformed learners with an illusion of control [~W]
- JOL resolution (relative accuracy) did not differ between younger and older adults [~W]
- JOL reactivity depended on pair relatedness: negative reactivity for unrelated word pairs but no reactivity for related word pairs [~W]
- Response-time effects are limited to slower responding in the JOL condition during the first two training blocks [~W]
- Knowledge-test scores correlated significantly with the self-assessed knowledge item at both pretest and posttest [~W]
- Judgment-of-learning accuracy after video modeling examples does not differ by model or observer gender, and students of both genders predict their performance accurately [~W]
- The overlap in confidence ranges between submitted answers and strategy use is larger for help seeking than for withholding answers [~W]
- Learners' JOLs are sensitive to the enactment benefit even when encoding type is manipulated between subjects [+W]
- Cluster analysis across both studies identifies three meta-attention knowledge profiles, including an overconfident group with a self-knowledge/strategy mismatch [+W]
- Learners in the matched condition exhibited more meta-cognitive and cognitive activities—monitoring, preparation, and ending discussions—than learners in other conditions [+W]
- Mathematics performance is positively correlated with metacognitive resolution in multiple-choice testing across six experiments [+W]
- Math anxiety explained variance in posttest monitoring judgments beyond trait anxiety, supporting its distinctness from general anxiety [~W]
- Metacognitive knowledge scores increased cumulatively over time, and the time-by-ethnic-group interaction showed Han and Yao students followed different MCK development trends [+W]
- Math anxiety mediated the effect of gender on pretest monitoring judgments in exploratory analyses [~W]
- Learners partly use example length as a cue when evaluating their self-generated examples [+W]
- Language competencies correlate with text comprehension performance in both groups, but with monitoring resolution only in non-native speakers [~W]
- Future anti-phishing interventions should measure both performance and metacognition, aiming to shift the phishing calibration curve toward the legitimate-email pattern [~W]
- Whether metacognition is domain-general or domain-specific remains a major unresolved issue with implications for instruction and transfer [~W]
- Metacognition interventions enhance cognitive and academic outcomes in typically developing children up to age 12 at immediate post-test (g = 0.48) [+W]
- Metacognition interventions positively impact children's executive functions, a novel outcome in this literature [+W]
- Metacognitive analysis activities were positively associated with transfer, but metacognitive activities showed no association with essay quality [+W]
- Metacognition intervention effects persist at follow-up (g = 0.29) in young children [+W]
- Metacognitive activities mediate the effects of metacognitive scaffolds on both domain and metacognitive knowledge [+W]
- Generalizability of metacognitive skills across tasks increases between ages eight and eleven [~W]
- Relative to random choice, a metacognitive judgment of remembering boosted recall while a judgment of forgetting was associated with a memory cost [+W]
- Monitoring-based control (the relation between confidence judgments and maintenance decisions) is stronger for fourth graders than second graders and strengthens over time for open-ended questions [+W]
- The Monitoring Exercise protected against overconfidence in the second exam score prediction but did not affect exam scores [~W]
- Six relationships in the model differ for less effective self-regulators, including performance-avoidance goals being unrelated to metacognition [~W]
- The relationship between inhibition and monitoring is not bidirectional: kindergarten monitoring did not predict later inhibition [~W]
- Metacognitive activity scores were neither associated with verbal ability nor with Internet experience [~W]
- Metacognition interventions enhance children's self-efficacy only at follow-up, suggesting effects unfold over a protracted period [+W]
- Metacognitive monitoring deficits are unlikely to be the primary source of academic performance differences between native and non-native speaking students [~W]
- Musical play intervention significantly increased children's metacognitive knowledge at interview compared with controls [+W]
- Students' monitoring judgments predict their regulation judgments before and after self-scoring [+W]
- Musical play intervention significantly increased children's metacognitive knowledge of strategies at interview [+W]
- Children became significantly less overconfident from kindergarten to 2nd grade but remained overconfident at both time points [+W]
- Metacognitive monitoring bias during competitive Kahoots did not differ by competitive preference, though bias shifted across time [~W]
- Confidence ratings do not impede category learning per se: no condition differences in training accuracy or on unambiguous and trained transfer items [+W]
- Metacognitive measures show large variability, and online measures relate to each other more than to offline measures [~W]
- Students' monitoring frequency during the collaborative exam was significantly and positively correlated with their number of EDA peaks. [~W]
- Exposure to others' discrepant curiosity ratings reduces the curiosity gap between opted-out and non-opted-out trials and between incorrect and correct trials, altering metacognitive control [+W]
- Children are considerably more overconfident about incorrect answers to true-false questions than about incorrect answers to open-ended questions [+W]
- Learners are substantially overconfident when judging the quality of their self-generated examples [-W]
- Paired flashcard learners show more accurate immediate metacognitive calibration than individual learners, who overestimate by roughly 20% [+W]
- Perceived difficulty was negatively correlated with recognition but not significantly with transfer or drawing test performance [~W]
- Theoretical expectation: hybrid metacognitive skill training benefits content knowledge acquisition more in near than in far transfer because far transfer is more cognitively demanding [~W]
- Grandiose narcissism predicted overconfidence in exam score predictions at both time points, while vulnerable narcissism predicted less overconfidence only at course start and optimism was unrelated [~W]
- Requiring overt retrieval eliminates the metacognitive calibration advantage of paired flashcard learning [~W]
- Task performance relates to metacognition profile membership at the first measurement point but not one year later [~W]
- Children's test performance is stable over six months but monitoring and control accuracy shows little inter-individual stability [~W]
- More frequent practice-test participation predicts higher absolute accuracy of item-specific judgments in the final exam, regardless of feedback [+W]
- Monitoring accuracy in exam score predictions and in key-term definition judgments during the Monitoring Exercise were uncorrelated, suggesting different cues underlie the two measures [~W]
- Problematizing scaffolds produced a small significant positive effect on individual metacognitive knowledge compared to structuring scaffolds [+W]
- Native and non-native speaking fourth graders do not differ in monitoring resolution of their open-ended text comprehension answers (Study 2) [~W]
- Exam score predictions decreased from the start to the end of the course for all performance quartiles, leaving poor performers overconfident and high performers underconfident [~W]
- Reactivity differs by rating scope: item-focused confidence ratings impaired rule learning while task-focused judgments of learning did not [~W]
- Higher (worse) prospective discrepancy scores predict higher metacognitive sensitivity on a memory task [~W]
- Most preservice teachers were overconfident in the completeness of their fraction comparison explanations at both first draft and revision [-W]
- Children as young as 4 years can reason about their relative confidence by selecting which of two questions they feel most sure of answering [+W]
- Metacognition assessment is shifting from self-report questionnaires toward process-oriented multimodal methods, which face validity and data-alignment challenges [~W]
- Learners with more misconceptions made more overconfident comprehension predictions after a standard text with a misconception list, an association not seen with refutation texts or think sheets [+W]
- Metacognitive scaffolding did not significantly affect group performance of collaborating triads, though the effect size indicated a small to medium positive effect [~W]
- Scaffolded drawing showed no significant advantage over drawing from scratch for absolute monitoring accuracy [~W]
- Metacognitive scaffolding produced a small significant positive effect on the individual metacognitive knowledge students acquired [+W]
- Providing a rubric does not significantly improve relative accuracy of self-assessment across criteria [~W]
- Metacognitive scaffolding had no significant effect on individual domain knowledge (recall, knowledge tests, or transfer), with effect sizes close to zero [-W]
- Across both experiments, self-assessment feedback failed to improve self-assessment accuracy in the absence of feedback, and learners' self-assessments did not track practice-driven performance gains [-W]
- Metacognitive avatar scaffolds increase students' proportion of metacognitive activities, with no significant difference between scaffold types [+W]
- For second graders, low metacognition at the first measurement point carries no extra risk of low metacognition one year later [~W]
- Exploratory tests found no significant interaction between receiving a rubric and learners' task performance on self-assessment accuracy or cognitive load [+W]
- Self-assessments of diagram boxes are more accurate than comprehension judgments and strongly correlated with them in the diagramming paradigm [~W]
- In Experiment 2, self-regulation skills significantly positively predicted domain-specific MAS only in the minimal heuristic worked examples condition [~W]
- Self-scoring improves primary students' monitoring accuracy on math problem-solving tasks to near-accurate levels [+W]
- Sixth-graders' own monitoring accuracy is low and does not differ between no-cue, keyword, and summary cue-prompt conditions (Experiment 1). [+W]
- Targeted retrieval via short-answer tasks improves metacognitive calibration more than holistic retrieval via free-recall [+W]
- In Experiment 1, receiving self-assessment feedback during the learning phase led to less accurate task selection than no feedback, despite feedback stating actual performance [-W]
- Study time allocation becomes more strategic with age: older learners allocate relatively more time to difficult items, and the easy-difficult allocation gap is larger in the untimed condition [+W]
- Students tend to rely on non-diagnostic cues when judging their own performance, resulting in inaccurate judgments [+W]
- Native and non-native speaking fourth graders do not differ in recognition or metacognitive monitoring resolution in a paired-associates task (Study 1) [~W]
- Teachers' judgments of students' monitoring accuracy deviated 14.33% from students' actual monitoring accuracy, tending to underestimate it [~W]
- Test performance is the strongest predictor of local and global postdicted judgments after test taking [+W]
- Study 2 replicates the absence of group differences in recognition and monitoring resolution in the paired-associates task [~W]
- Teachers show stronger regulation than students: both select lower-JOL texts for restudy, but the JOL–restudy correlation is significantly stronger for teachers (Experiment 1). [+W]
- Within the feedback condition, students rated test taking and receiving feedback as equally useful for monitoring their performance [~W]
- Learners with more misconceptions who completed a think sheet were more underconfident in predicting their transfer performance [~W]
- Training improved the predictiveness of AS and NS JOSs but not S JOSs, indicating training increased solving during the JOS task rather than JOS predictiveness [+W]
- Before self-scoring, high-performing primary students make more accurate monitoring judgments of math problem performance than low-performing students (unskilled-and-unaware effect) [~W]
- After self-scoring, the monitoring-accuracy gap between low- and high-performing students remains on multiplication (small) but disappears on division [~W]
- In Experiment 2, actual regulation of adaptable heuristic worked examples showed no significant correlation with self-regulation skills or MAS outcomes [~W]
- Teachers' self-reported cue utilization attributes are not significantly correlated with their monitoring accuracy (Experiment 2). [-W]
- Working memory and shifting in kindergarten were not significant predictors of later metacognitive monitoring [~W]
- JOLs with word stems and retrieval practice reduce prior-list intrusions on the List-5 test, whereas JOLs with complete words do not [~W]
- Learners accurately judge that twice-presented items are more likely to be recalled than once-presented items [+W]
- Better calibration (lower Absolute Accuracy Index) is associated with higher Word Reading and Composite achievement scores [~W]
- AI support can improve task performance while weakening users' metacognitive accuracy and leaving their own reasoning unimproved [-W]
- Older adults allocate proportionally more study time to easy and medium items while younger adults allocate more to difficult items, yet older adults recall less despite studying more [~W]
- Application reading instructions did not reduce overestimation of application performance (no debiasing effect), with effects varying by text [~W]
- Metacognitive ability was not correlated with task difficulty or perceptual sensitivity (d′) [~W]
- The Bias Index significantly predicts all four WIAT-II achievement measures, with over-confidence associated with lower achievement [~W]
- Anchoring-and-adjustment explains the underconfidence-with-practice effect, with JOLs anchored between 30 and 50% correct recall [+W]
- Metacognitive ability improves across adolescence, with a logarithmic age trajectory [+M]
- Group-level cognitive regulation occurs significantly more in the conceptual physics task than in the robotics task [~W]
- CMS metacognition correlates with AQ-J-50 social skills and total scores, but self-judgment accuracy does not [+W]
- More complex (versus simple) math performance measures are associated with larger metacognition–math effect sizes [~W]
- Confidence ratings shift toward higher confidence across adolescence and decline in adulthood (Broc) [+W]
- Children show marginal overconfidence in numerical judgments and underconfidence in emotion judgments [~W]
- The age-related decline in perceptual metacognitive efficiency reflects both rising d′ and falling meta-d′ [~W]
- Perceptual and memory metacognitive efficiencies are positively correlated across individuals, though weakened after outlier removal [+W]
- Students' difficulty rankings of equation types partly mismatch their measured performance, though metacognitive accuracy improves with age [+M]
- Exploratory learning is expected to raise metacognitive activity, which in turn increases strategic knowledge and adaptive transfer [+W]
- Explicit metacognition has severely limited access to underlying cognitive processes, and metacognitive reports can be inaccurate [-W]
- Executive function does not explain the age-related decline in perceptual metacognitive efficiency [~W]
- Training in metacognitive regulation combined with a cognitive learning strategy transfers to better metacognitive regulation of mental effort (far transfer), with small effect sizes [+W]
- A majority of 5- and 6-year-olds can describe metacognitive emotion regulation strategies when asked about familiar hypothetical situations with multiple prompts [~W]
- Experts have reduced access to memory traces of their own cognitive processes due to automatization, and large domain knowledge can disadvantage performance on certain tasks [~W]
- Greater time and effort invested in the task correlate with better integration and smaller calibration error [~W]
- FOK resolution for general-knowledge information is similar for younger and older adults, whereas the literature argues for a deficit in FOK resolution for episodic memory tasks in older adults [~W]
- From age 6, children deploy effective external strategies on most trials, with strategy number, combination, and order varying widely within and across age groups [~W]
- Under general reading instructions, pre-service teachers significantly overestimate their application test performance [-W]
- Female participants showed higher metacognitive ability than male participants [~W]
- Metacognition profile classifications differ between second and fourth graders [+W]
- The foresight bias has behavioral consequences: learners allocate similar study time to backward and forward pairs despite markedly lower recall for backward pairs [-W]
- GenAI access reduces perceived difficulty of the assisted reasoning task [~W]
- Han students' metacognitive knowledge scores were significantly higher than Yao students' at each of four annual measurements from grade 3 to grade 6 [~W]
- Higher-achieving students tend to be more accurate but more underconfident in calibration than lower-achieving students [+W]
- Hard-easy effect: students are more accurate but underconfident on easy items and less accurate but overconfident on difficult items [+W]
- Older adults show lower JOL resolution only when recollection-based responses are contrasted with pooled familiarity and new responses, an outcome attributed to age-related decreases in strong recollective experiences at test [~W]
- Low-confidence judgments on one problem predict better strategy selection on the immediately following problem, equally in young and older adults [+W]
- Combined with adolescent data, the lifespan profile of perceptual metacognitive efficiency is an inverted-U [~W]
- Individual differences in metacognitive knowledge expressions relate to children's mathematical competence and verbalization style [+W]
- Monitoring resolution improves with study–test practice, with larger gains for backward than for forward pairs [+W]
- JoL–mastery accuracy trajectories over the five weeks rose in the elicit condition, declined in the none condition, and were mixed in the tell condition [~W]
- Little or no relation between absolute and relative accuracy in metacomprehension research [~W]
- MAKQ dimensions correlate moderately with each other, with strategy knowledge only weakly related to the self-perception scales [~W]
- Judging words as likely to be forgotten enhanced their recall relative to unselected words under simultaneous presentation with fixed or self-paced study time [+W]
- Incentives significantly improved calibration accuracy only among lower-achieving students in a college-course quasi-experiment [~W]
- The MAKQ self-knowledge items show a stable two-factor structure: meta-attention control (15 items) and meta-attention monitoring (5 items) [~W]
- Generating delayed keywords does not reduce bias in comprehension judgments [~W]
- In Yao students, metacognitive knowledge and vocabulary breadth showed a common growth trend: higher initial MCK predicted higher initial VK, and faster MCK growth predicted faster VK growth [+W]
- Memory metacognitive efficiency correlates with Wechsler Memory Scale scores, but perceptual metacognition does not [~W]
- Memory metacognitive efficiency shows a non-significant negative relationship with age [~W]
- Metacognition may limit creativity during the generative stage but facilitate it during the exploratory stage [~W]
- Metacognition is significantly positively correlated with math performance in adolescence (pooled r = .37) [+W]
- Children's metacognitive judgments are not explained by baseline risk preferences or response-time cues [+W]
- Metacognitive scaffolding added to computer-based executive attention training produces larger intelligence gains in preschoolers than regular training or an untrained active control [+W]
- Heterogeneity between studies of the metacognition–math association is significant and remains high in all moderator analyses [~W]
- Metacognitive scaffolding plus executive attention training yields significant increases in the N2 ERP component associated with conflict processing in preschoolers [~W]
- Prompting metacognitive strategies before cognitive strategies improves strategy quality and conceptual knowledge [+W]
- The literature is mixed on age differences in the accuracy of retrospective confidence judgments during recognition memory tests, with older adults sometimes producing more high-confidence false alarms and poorer resolution with deceptive lures [~W]
- Most included studies report a significant positive metacognition–math association, with some null and mixed findings [+W]
- Neither rereading nor self-explanation changed comprehension test performance itself; effects were specific to monitoring accuracy [~W]
- Students with more misconceptions before studying more strongly underestimated their transfer performance, regardless of instructional method [+W]
- Age did not interact with associative relatedness or effective encoding-strategy use in predicting JOLs, indicating no age differences in the use of these two sources of information when making judgments of learning [~W]
- Offloading is decodable from metacognitive monitoring and control brain processes [+W]
- Low and high social challenge dyads do not differ in the frequency of metacognitive activities [~W]
- Older adults show no reliable deficit in assessing item difficulty (EOL accuracy) [~W]
- When recalling their own experiences, 5- and 6-year-olds use metacognitive strategies more to alleviate sadness and fear than anger [+W]
- Metacognitive skills initially develop in separate domains and later become generalized across domains, but the transfer processes remain unknown [~W]
- Off-line self-report instruments show low concurrent validity with on-line measures and do not predict learning outcomes very well [-W]
- Peer interactions supported both children's metacognitive tasks and strategies, with children organizing performance using others' directions and evaluating others' performance [+W]
- The Not Sure state of Knowledge Confidence predicts better recall of object names, consistent with the region of proximal learning framework [+W]
- Perceptual metacognitive efficiency declines with age in healthy adults aged 18–84, even when task performance is controlled [~W]
- Individuals show a systematic positive reminder bias, setting more reminders than optimal [~W]
- Postdictions of performance are typically more accurate than predictions [~W]
- More frequent practice-test participation predicts higher sensitivity (better detection of correct answers) in final-exam judgments, with and without feedback [+W]
- Collecting metacognitive judgments did not disrupt typical strategy selection and execution: both age groups selected the better strategy more on rounding-up homogeneous problems and executed rounding-down faster on homogeneous problems [~W]
- The acquired strategy-selection knowledge did not make PROTO-TEG more efficient in terms of student performance [-W]
- Reading instructions without further instructional support are not sufficient to help students accurately judge their text comprehension [+W]
- Students who formulated their own rules for when to use AI performed better on assignments in both conditions [+W]
- Words participants said they would remember were recalled earlier in output than words predicted to be forgotten or words not given a prediction [+M]
- Under sequential presentation with Likert ratings for every word, no memory benefit emerged for items judged likely to be forgotten; negative ratings predicted the poorest recall [-W]
- High-achieving students describe selective AI use for clarification, summarisation, and workflow support while verifying outputs and keeping them subordinate to their own judgment [~W]
- Second-order metacognitive judgments of subjective uncertainty show a small high-confidence error/correct difference, smaller than curiosity ratings show [~W]
- Children evaluated their own performance as worse when they were slower in Grades 3 and 4 [~W]
- Social comparison information affects the magnitude of metacognitive judgments, with greater magnitude for higher peer performance [+W]
- Repeated study–test practice reduces the foresight bias for backward pairs, with the illusion of competence disappearing by the fourth presentation [+W]
- Strategy perseveration: prior offloading experience biases later offloading choices [~W]
- Retrospective metacognitive accuracy for strategy selection is higher in the selection-only task than the selection-execution task and on homogeneous than heterogeneous unit-digit problems [+W]
- Technology-supported educational interventions are associated with higher metacognitive outcomes on average (g = 0.653), with substantial between-study heterogeneity [+W]
- Estimation errors for partner AI use are directionally biased for specific task types at t2 but not at t3 [~W]
- Technology type did not significantly moderate effects on metacognitive outcomes, though generative-AI interventions showed a descriptively larger estimate [~W]
- Suddenness and Certainty ratings decrease as RAPM item difficulty increases, with Certainty showing a strong effect [~W]
- Tell and no-agent conditions showed no significant JoL–confidence correlations, with mixed results for progress and mastery [~W]
- Before self-scoring, the unskilled-and-unaware effect in regulation accuracy appears on multiplication but not on division tasks [~W]
- Young children can self-initiate external metacognitive strategies and transfer them across contexts, with flexibility increasing over the preschool and early school years [+W]
- The more underconfident participants are about their memory abilities, the larger their reminder bias, regardless of framing [~W]
- Verbalized self-reported confidence is overconfident in the mid-confidence range, while consistency-based confidence shows good average calibration but localized failure regions [~W]
- For Yao students, both metacognitive knowledge and vocabulary breadth were best described by linear growth models with significant intercepts and slopes [+W]
- WMPT accuracy, confidence, Bias Index and Absolute Accuracy Index all change significantly with task difficulty [~W]
- Effort and monitoring judgments show a medium negative correlation (r = −.355) during learning [+W] — attached 2026-10-19 from Martine Baars et al. (2020), which proposed "Cue utilization perspective with data-driven versus goal-driven self-regulation as an account of effort-based monitoring".
- Goal-driven manipulations weaken the negative effort–monitoring correlation, which is nonsignificant under incentives, time pressure or self-agency ratings taken singly [~W] — attached 2026-10-19 from Martine Baars et al. (2020), which proposed "Cue utilization perspective with data-driven versus goal-driven self-regulation as an account of effort-based monitoring".
- Generative and visualizing tasks improve metacomprehension and monitoring accuracy but show small or null effects on learning outcomes [+W]
- Practice with feedback, regardless of feedback type, improves metacognitive calibration relative to lecture, reducing overconfidence by about 13 percentage points [+W]
- The relationship between invested mental effort and self-assessed understanding is weak and inconsistent, with most correlations non-significant and mixed directions [~W]
- Effort-rating item wording changes what learners reflect on: requirement wording correlates negatively and engagement wording positively with judgments of learning [~W]
- AI takeover of metacognitive monitoring may foster illusion of competence (untested conjecture) [~W]
- The tribute reports students tend to overestimate their sport performance, and four-level model instruction may improve calibration accuracy [+W]
- Metacognitive monitoring declines under high working memory load, suggesting functional dependence of MC on WM [+W]
- In-person but not online self-regulated multiple-choice students completed fewer restudy trials before their first practice test than cued-recall students. [~W]
- Think-aloud protocols reveal that self-regulated reading is dynamic across time, responsive to context, and varies by reading purpose [+W]
- Whole-task, metacognitive knowledge, and external standard interventions significantly improve monitoring accuracy in problem solving [+W] — attached 2026-10-21 from Noortje Janssen · Ard W. Lazonder (2024), which proposed "Nelson and Narens' metamemory model as a normative framework for designing monitoring accuracy interventions".
- Monitoring accuracy interventions are more effective for retrospective confidence judgments than for judgments of learning [~W]
- Monitoring accuracy interventions are less effective for secondary school students than for elementary students and adults [~W]
- Metacognition and comprehension strategy use are weakly to moderately associated with intertextual integration among K-12 students [+W]
- Prompting learners to infer self-assessments from performance-based cues yields better self-assessment accuracy than prompting explanation-based cues in the initial problem-solving phase [+M] — attached 2026-10-21 from Waldeyer et al. (2024), which proposed "Cue-utilization framework of self-assessment".
- Mental effort correlates negatively with self-assessments regardless of whether learners receive up-front cue information [~W]
- Experiment 2 replicated the forward effect of cue-only JOLs over restudy with rock categories, and item-by-item feedback did not change the effect [~M]
- Cue-only JOLs, but not cue–target JOLs, showed the inverted U-shaped JOL–response-time relationship taken as a behavioral signature of covert retrieval (Experiment 1) [~W]
- Underconfidence-with-practice effect: learners overestimate learning after one study trial but underestimate it after repeated restudying [~W]
- Effortful generative learning activities during problem-solving example study provide cues that improve students' item-level self-monitoring accuracy [+W] — attached 2026-10-21 from Tamara van Gog et al. (2020), which proposed "Cue-utilization framework: monitoring judgments rest on cues whose diagnosticity determines accuracy, with invested mental effort as a candidate cue"; tests this page's relationship.
- Completing steps in partially worked-out examples leads students to underestimate their test performance and report higher mental effort than studying fully worked examples [+W] — attached 2026-10-21 from Tamara van Gog et al. (2020), which proposed "Cue-utilization framework: monitoring judgments rest on cues whose diagnosticity determines accuracy, with invested mental effort as a candidate cue".
- Non-interactive teaching produces stronger under-confidence (metacognitive bias) than restudy immediately after learning [~W]
- Solving an isomorphic practice problem after studying a worked example improves prospective monitoring accuracy, with mixed effects on regulation accuracy [~W]
- Perceived effort ratings are metacognitive judgments based on heuristic cue processing and prone to bias [+W]
- Metacognitive monitoring bias and precision modulate when students stop studying relative to their goals [~W]
- Providing a standard answer to compare against improves the accuracy of students' retrospective monitoring judgments [+W]
- In Experiment 1, the extent of informative interleaving did not correlate with category assignment performance, which the authors interpret as a utilization deficiency [~W]
- Learners associate higher effort with less effective study strategies, indicating negative connotations of effort [+W] — attached 2026-10-21 from Scheiter et al. (2020), which proposed "Effort appraisals are a type of metacognitive judgment that may be prone to biases through heuristic cue utilization".
- Cognitive learning strategy training yields preliminary evidence of far metacognitive transfer to effort regulation (Wirth et al., 2025) [+W]
- Heuristic cues — response time, familiarity, problem complexity, and context reinstating — guide opting-out decisions [~W]
- Self-regulated dropping of already-known items during restudy conferred no significant learning advantage and was sometimes mildly detrimental [~W]
- Certainty predicts diagnostic performance; mental effort adds no predictive value beyond certainty [~W]
- The largest reported effects came from interventions training reflection on own learning and teaching through metacognitive judgements (Michalsky 2021: d = 3.12; Pieschl et al. 2021: d = 2.9) [+W]
- Students who benefited from retrieval practice rated it as more effective after receiving individual feedback, while other groups showed no statistically significant change (Experiment 1) [~W]
- Delayed diagram completion improves students' relative monitoring accuracy of text comprehension compared with no diagramming [+M] — attached 2026-10-22 from Janneke van de Pol (2020), which proposed "Cue utilization framework for monitoring accuracy in learning from text"; tests this page's relationship.
- Concept mapping during reading, without access to the map during judgment, improves students' relative monitoring accuracy [+M] — attached 2026-10-22 from Janneke van de Pol (2020), which proposed "Cue utilization framework for monitoring accuracy in learning from text"; tests this page's relationship.
- Instructing students to draw relations between text ideas (organizational drawing) improves relative monitoring accuracy more than representational drawing [+M] — attached 2026-10-22 from Janneke van de Pol (2020), which proposed "Cue utilization framework for monitoring accuracy in learning from text"; tests this page's relationship.
- For prediction judgments on factual questions, males and learners with lower WMC and lower topic knowledge, but higher self-perceived topic knowledge and self-perceived metacomprehension ability, showed stronger overestimation [~W] — attached 2026-10-22 from Stefanie Golke et al. (2022), which proposed "Cue-utilization framework extended to learner characteristics as sources of judgment bias in metacomprehension".
- For inference questions, lower reading skill, higher self-efficacy, and higher self-reported monitoring strategies were associated with stronger overestimation, with openness associated only for predictions [~W] — attached 2026-10-22 from Stefanie Golke et al. (2022), which proposed "Cue-utilization framework extended to learner characteristics as sources of judgment bias in metacomprehension".
- Effects of gender and self-perceived metacomprehension ability on bias arose mainly from judgment magnitude, whereas WMC and topic knowledge also affected performance [~W]
- Metacognition mediates the relationship between EF and SRL [+W]
- Significant learner characteristics explained 17% and 14% of variance in prediction bias and 11% and 12% in postdiction bias, so characteristics were slightly more relevant for predictions [~W]
- Boundary conditions: explicit relation-focused instructions and no access to products during judgment are needed for mapping and drawing to improve monitoring accuracy [~W]
- Monitoring tools produce a moderate effect on academic achievement (d = 0.42), supporting a reactivity effect [+W] — attached 2026-10-22 from Dignath et al. (2023), which proposed "Reactivity and reminder effects as the mode of action of monitoring tools".
- Students use invested mental effort as a cue when judging their learning, and self-rated mental effort is negatively related to judgments of learning [~W]
- Effects of monitoring tools are highest when tools address both learning content and learning behavior and stimulate metacognitive monitoring [+W]
- Mental effort and judgments of learning show a medium-sized negative correlation, moderated by regulation mode and task type [~W]
- Situation-model-approach interventions show a medium-sized positive effect on metacomprehension accuracy and a small direct effect on comprehension [+W]
- Explicit strategy instruction, unlike implicit strategy instruction, is associated with a gain in student performance [+W] — attached 2026-10-22 from Charlotte Dignath et al. (2021), which proposed "Three levels of strategy instruction: blind, informed, and self-control training (WWW&H rule)".
- Retrieval practice mainly improves metamemory whereas generative activities mainly improve metacomprehension [~W]
- Perceived mental effort is negatively associated with monitoring judgments (β = -0.19) in a meta-analytic structural equation model [~W] — attached 2026-10-22 from Louise David et al. (2024), which proposed "Cue-utilization framework for metacognitive monitoring in self-regulated learning"; tests this page's relationship.
- Monitoring judgments are positively associated with learning outcomes (β = 0.29) [+M] — attached 2026-10-22 from Louise David et al. (2024), which proposed "Cue-utilization framework for metacognitive monitoring in self-regulated learning"; tests this page's relationship.
- Perceived mental effort has a negative indirect association with learning outcomes, mediated by monitoring judgments (β = -0.05) [+W] — attached 2026-10-22 from Louise David et al. (2024), which proposed "Cue-utilization framework for metacognitive monitoring in self-regulated learning"; tests this page's relationship.
- Prior meta-analysis found a negative medium-sized effort–monitoring correlation (r = -0.35), attenuated under goal-driven manipulations [~W]
- Perceived task difficulty relates to metacognitive strategy use only linearly, with no significant quadratic component [~W]
- In the CRT experiment, confidence appraisals predicted solving accuracy more strongly than goal-driven effort appraisals [~W]
- In the mental rotation experiment, item complexity (rotation angle) served as a significant cue for all four appraisal types, with difficulty appraisals most sensitive [~W]
- In the CRT experiment, response time served as a significantly stronger cue for goal-driven effort, data-driven effort, and difficulty appraisals than for confidence appraisals [~W]
- In the non-verbal MTT experiment, response time served as a cue for goal-driven effort appraisals more than for confidence appraisals, partly replicating experiment 1 [~W]
- Averaged across three experiments, load-related appraisals correlated more strongly with response time than confidence did, while difficulty and confidence predicted accuracy more strongly than mental effort appraisals [~W]
- Oral explaining yields more accurate meta-comprehension judgments than written explaining and retrieval practice [~W]
- Model answers and self-assessment instructions do not improve monitoring accuracy after delayed diagramming [-W] — attached 2026-10-23 from Hepner et al. (2024), which proposed "Situation-Model Approach to Metacomprehension (cue-utilization account)"; tests this page's relationship.
- Secondary students tend to overestimate their text comprehension, though monitoring is relatively accurate in this sample [~W]
- Primary school students show no awareness of their monitoring judgment accuracy before self-scoring in mathematics problem solving [~W] — attached 2026-10-23 from Oudman et al. (2024), which proposed "Second-order judgments (SOJs) as a measure of accuracy awareness in self-regulated learning"; tests this page's relationship.
- Task performance does not affect primary school students' monitoring accuracy awareness [~W]
- Students feel quite confident about their monitoring and regulation judgments even before self-scoring [~W]
- Task performance does not affect primary school students' regulation accuracy awareness [~W]
- Children's confidence in endorsing statements indicates they were not confused by hybrid statements [~W]
- Monitoring activities and metacomprehension accuracy serially mediated the effect of in-between versus after-study explaining on conceptual learning (Experiment 1) [+W]
- In-between explaining did not improve metacomprehension accuracy relative to other conditions in either experiment [-W]
- Students consistently overestimated how much they learned with answer-revealing images [+W]
The evidence by question¶
- Can learners' own monitoring be trusted, and can it be trained? Self Assessment Accuracy Is Low Without Training [+S]
- Does working with AI make learners' judgments of their own knowledge, effort and performance less accurate, and what restores them? Access to AI advice roughly doubled reported confidence in answers in one experiment [+M]
Related Theories¶
- Executive Function Development — the underlying self-regulatory capacity that metacognitive knowledge is applied through
- Information Processing Theory — metacognitive strategy use directly targets the working-memory and encoding bottlenecks central to information-processing accounts
- Self-Regulated Learning — metacognitive monitoring is one of the core components of self-regulation
- Critical Thinking — what makes thinking "critical" rather than merely correct is largely the metacognitive monitoring of one's own thinking
- Gombert's stage model: metalinguistic awareness develops after linguistic competence, via epilinguistic awareness
- Metaconceptual processes framework: metacognitive knowledge and processes specific to concept learning, classified as knowledge, awareness, monitoring, and evaluation
- Metacognition as a framework for making thinking visible across artistic and academic learning
Examples¶
- Use a three-stage model to help learners identify and apply their learning-style characteristics
- Use metacognitive interventions to promote adaptive use of cognitive tools
- Use metacognitive prompts that reflect cognitive processes without asking for a performance evaluation
- App-based metacognitive monitoring training program with paired-associates memory tasks and feedback
- Film-plus-cloze metacognitive assessment paradigm with confidence judgments and answer withdrawal
- Inferential word-learning task with retrospective confidence ratings and hierarchical Bayesian meta-d' estimation
- Framework of teachers' judgments of students' monitoring skills with three accuracy measures
- Teachers should make task demands explicit, compelling, varied, and metacognitively supported when assigning text-study tasks
- Future self-assessment interventions should redirect students' attention from invalid cues toward valid, predictive cues rather than providing self-assessment accuracy feedback
Key Sources¶
- Bjorklund, D. F. (2005). Children's thinking: Cognitive development and individual differences (4th ed.). Wadsworth.
- Schneider, W., Kron-Sperl, V., & Hunnerkopf, M. (2009). The development of young children's memory strategies: Evidence from the Würzburg Longitudinal Memory Study. European Journal of Developmental Psychology, 6(1), 70-99.
- Sodian, B., & Schneider, W. (1999). Memory strategy development: Gradual increase, sudden insight, or roller coaster? In F. E. Weinert & W. Schneider (Eds.), Individual development from 3 to 12: Findings from the Munich Longitudinal Study (pp. 61-77). Cambridge University Press.
- Arduini-Van Hoose, N. (2020). Information processing theories. In Educational psychology. Retrieved from https://edpsych.pressbooks.sunycreate.cloud. CC BY-NC-SA 4.0.
Page metadata
| Field | Value |
|---|---|
type |
theory |
title |
Metacognition |
description |
Metacognition is knowledge about one's own thinking and the ability to regulate cognitive strategies accordingly; it develops gradually across childhood, with distinct failure modes describing why a learner does or doesn't benefit from a strategy they could, in principle, use. |
status |
review |
canonical |
True |
generated |
by claude/unspecified on 2026-08-29 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.