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Do people have accurate metacognition of non-uniformities in perceptual resolution across (i.e., eccentricity) and around (i.e., polar angle) the visual field? Despite its theoretical and practical importance, this question has not yet been empirically tested. This study investigated metacognition of perceptual resolution by guessing patterns during a degradation (i.e., loss of high spatial frequencies) localization task. Participants localized the degraded face among the nine faces that simultaneously appeared throughout the visual field: fovea (fixation at the center of the screen), parafovea (left, right, above, and below fixation at 4° eccentricity), and periphery (left, right, above, and below fixation at 10° eccentricity). We presumed that if participants had accurate metacognition, in the absence of a degraded face, they would exhibit compensatory guessing patterns based on counterfactual reasoning ("The degraded face must have been presented at locations with lower perceptual resolution, because if it were presented at locations with higher perceptual resolution, I would have easily detected it."), meaning that we would expect more guess responses for locations with lower perceptual resolution. In two experiments, we observed guessing patterns that suggest that people can monitor non-uniformities in perceptual resolution across, but not around, the visual field during tasks, indicating partial in-the-moment metacognition. Additionally, we found that global explicit knowledge of perceptual resolution is not sufficient to guide in-the-moment metacognition during tasks, which suggests a dissociation between local and global metacognition.

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Health misinformation, defined as false or misleading claims lacking scientific evidence, poses a significant threat to public health. This paper investigates factors associated with the failure to discern misinformation, including health consciousness, information processing strategies, and inaccurate self-assessments of health literacy. Through an online experiment involving 707 English-speaking U.S. participants (mean age = 43 years, 56.2% female), we found that misinformation beliefs about nutrition, vaccination, vaping, and cancer were significantly correlated, implying susceptibility across health topics. Greater susceptibility was associated with higher health consciousness, lower objective health literacy, more elaboration, and more selective scanning. Results provided evidence for the Dunning-Kruger effect and metacognitive monitoring errors, whereby confident individuals were unaware of inadequate health literacy and showed poor misinformation identification. Findings suggest that promoting both health literacy education and cognitive reflection skills among the general adult population could empower them to more critically evaluate online health information.

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This study was to investigate the relationship between metacognition and the mathematical modeling skills of high school students, as well as the mediating role of computational thinking. A cluster sampling method was adopted to investigate 661 high school students, using the metacognition scale, computational thinking scale, and mathematical modeling skill test questions. The results showed that metacognitive knowledge and metacognitive monitoring had a direct and positive correlation with high school students' mathematical modeling skills. Additionally, the critical thinking dimension of computational thinking mediated the relationship between metacognitive knowledge, experience, monitoring, and mathematical modeling skills. These findings indicated that sufficient metacognition could improve the critical thinking of high school students' computational thinking and enhance their mathematical modeling skills.

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This study investigates the observers' ability to monitor the ongoing cognitive processes of a partner who is implicitly learning an artificial grammar. Our hypothesis posits that learners experience metacognitive feelings as they attempt to apply their implicit knowledge, and that observers are capable of detecting and interpreting these feelings as cues of the learner's cognitive state. For instance, learners might encounter affective signals linked to cognitive conflicts and errors at different processing stages, which observers can construe as manifestations of the learner's cognitive dissonance. The research involved 126 participants organized into dyads, with one participant acting as a learner, and the other as an observer. The observer's task was to judge whether the learner agrees with the information presented (consonance judgment) and was limited to reading the learner's nonverbal signals to avoid explicit mindreading. The findings suggest that observers possess mindreading abilities, enabling them to detect both learners' confidence and accuracy in stimuli classification. This extends our understanding of non-verbal mindreading capabilities and indicates that observers can effectively interpret early implicit metacognitive information, even in the absence of explicit self-evaluation from the learners. This research offers significant insights into how individuals interpret others' mental states during implicit learning tasks, particularly in the context of utilizing early affective cues within the Artificial Grammar Learning paradigm.

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Metareasoning refers to processes that monitor and control ongoing thinking and reasoning. The "metareasoning framework" that was established in the literature in 2017 has been useful in explaining how monitoring processes during reasoning are sensitive to an individual's fluctuating feelings of certainty and uncertainty. The framework was developed to capture metareasoning at an individual level. It does not capture metareasoning during collaborative activities. We argue this is significant, given the many domains in which team-based reasoning is critical, including design, innovation, process control, defence and security. Currently, there is no conceptual framework that addresses the nature of collaborative metareasoning in these kinds of domains. We advance a framework of collaborative metareasoning that develops an understanding of how teams respond to the demands and opportunities of the task at hand, as well as to the demands and opportunities afforded by interlocuters who have different perspectives, knowledge, skills and experiences. We point to the importance of a tripartite distinction between "self-monitoring", "other monitoring" and "joint monitoring". We also highlight a parallel distinction between "self-focused control", "other-focused control" and "joint control". In elaborating upon these distinctions, we discuss the prospects for developing a comprehensive collaborative metareasoning framework with a unique focus on language as a measure of both uncertainty and misalignment.

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Street maps are sometimes complex. They may show landmark names, locations, routes between landmarks, and where landmarks are relative to one another. Map learners may aim to learn one map component, like landmark locations, but later must remember a different component, such as routes. In other words, congruency between learning goals and tests may contribute to map memory. Further, research demonstrates that complex knowledge acquisition may be improved when metacognitive processes are congruent with tested material. The present work examined the relationship between learning goals, a type of metacognitive monitoring judgment referred to as judgments of learning (JOLs), and tests of map learning to determine whether congruency between goals and JOL prompts (Exp 1) and JOL prompts and tests (Exp 2) influenced memory and metacognitive accuracy. Congruency between learning goals and JOL prompts contributed to metacognitive accuracy, particularly when map components were highly complex. Contrary to our hypotheses, congruency between JOL prompts and tests did not contribute to memory or metacognitive accuracy. Our results suggest learners could accurately predict their memory, and cues such as map complexity and information accumulation across learning trials influenced rating magnitude.

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Metacognition entails knowledge of one's own cognitive skills, perceived self-efficacy and locus of control when performing a task, and performance monitoring. Age-related changes in metacognition have been observed in metamemory, whereas their occurrence for hearing remained unknown. We tested 30 older and 30 younger adults with typical hearing, to assess if age reduces metacognition for hearing sentences in noise. Metacognitive monitoring for older and younger adults was overall comparable. In fact, the older group achieved better monitoring for words in the second part of the phrase. Additionally, only older adults showed a correlation between performance and perceived confidence. No age differentiation was found for locus of control, knowledge or self-efficacy. This suggests intact metacognitive skills for hearing in noise in older adults, alongside a somewhat paradoxical overconfidence in younger adults. These findings support exploiting metacognition for older adults dealing with noisy environments, since metacognition is central for implementing self-regulation strategies.

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This study aimed to examine metacognitive abilities in individuals diagnosed with amnestic mild cognitive impairment (aMCI) by using online metacognitive measures during cognitive tasks. A total of 100 participants were enrolled, all aged 50 or older (mean age = 61.98; SD = 6.27), and with a minimum of six years of education (mean = 14.95; SD = 2.94). The sample included 50 individuals with aMCI (34 females) and 50 healthy controls (HC) (33 females). Both groups underwent metacognitive versions of memory tasks (Doors and People) and executive functions tasks (Wisconsin Card Sorting Test). Metacognition was assessed through confidence ratings given after each answer (referred to as metacognitive monitoring) and the accuracy of the participants' decisions to include or exclude answers from their final scores (known as metacognitive control). The results showed that although individuals with aMCI were aware of their cognitive limitations-evidenced by their lower confidence ratings across all tasks-they still exhibited overconfidence relative to their actual performance. Moreover, they included a greater number of incorrect answers in their final scores compared to the healthy control group. These findings suggest that while individuals with aMCI retain some level of awareness, their self-evaluations appear to lack precision. This observation was consistent across both types of cognitive tasks. The results underscore the need for additional research to better understand metacognition in MCI as well as the interplay between metacognitive monitoring and control.

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Creative cognition does not just involve cognitive processes in direct service of the main task objective (e.g., idea generation), but also metacognitive processes that monitor and regulate cognition adaptively (e.g., evaluation of ideas and task performance, or development and selection of task strategies). Although metacognition is vital for creative performance, relevant work is sparse, which may be partly due to persistent ambiguities in the theoretical conceptualization of creative metacognition. Therefore, this article proposes a systematic framework of creative metacognition (CMC), which builds on recent advancements in metacognition theory and extends them to meet the specifics of creative cognition. The CMC framework consists of two dynamic components-monitoring and control-and a more static component of metacognitive knowledge, each subsuming metacognitive processes applying to the level of task, performance, and responses. We describe the presumed function of these metacognitive components in the creative process, present evidence in support of each, and discuss their association with related constructs, such as creative self-beliefs. We further highlight the dynamic interplay of metacognitive processes across task performance and identify promising avenues for future research.

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The mechanisms underlying a tendency among individuals with depression to report personal episodic memories with low specificity remain to be understood. We assessed a sample of undergraduate students with dysphoria to determine whether depression relates to a broader dysregulation of balancing accuracy and informativeness during memory reports. Specifically, we investigated metamnemonic processes using a quantity-accuracy profile approach. Recall involved three phases with increasing allowance for more general, or coarse-grained, responses: (a) forced-precise responding, requiring high precision; (b) free-choice report with high and low penalty incentives on accuracy; (c) a lexical description phase. Individuals with and without dysphoria were largely indistinguishable across indices of retrieval, monitoring, and control aspects of metamemory. The results indicate intact metacognitive processing in young individuals with dysphoria and provide no support for the view that impaired metacognitive control underlies either memory deficits or bias in memory reports that accompany dysphoria.

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Greater sensitivity to the cost of effortful engagement has long been implicated in the development of Attention Deficit Hyperactivity Disorder (ADHD). The current study evaluated preferential choice to engage in demanding tasks, and did so in combination with computational methods to interrogate the process of choice. Children aged 8-12 with (n = 49) and without (n = 36) ADHD were administered the cognitive effort discounting paradigm (COG-ED, adapted from Westbrook et al., 2013). Diffusion modelling was subsequently applied to the choice data to allow for a better description of the process of affective decision making. All children showed evidence of effort discounting, but, contrary to theoretical expectations, there was no evidence that children with ADHD judged effortful tasks to be lower in subjective value, or that they maintained a bias towards less effortful tasks. However, children with ADHD developed a much less differentiated mental representation of demand than their non-ADHD counterparts even though familiarity with and exposure to the experience of effort was similar between groups. Thus, despite theoretical arguments to the contrary, and colloquial use of motivational constructs to explain ADHD-related behavior, our findings strongly argue against the presence of greater sensitivity to costs of effort or reduced sensitivity to rewards as an explanatory mechanism. Instead, there appears to be a more global weakness in the metacognitive monitoring of demand, which is a critical precursor for cost-benefit analyses that underlie decisions to engage cognitive control.

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Metacognitive monitoring and control processes are important parts of our cognitive system. In this article, they are considered in the light of the dual-process theory and interpreted as occurring at the level of Type 1 and Type 2 information processing. Associative connection is the main factor that allows us to divide these processes into two types. Accordingly, metacognitive monitoring of the first type occurs when feelings of rightness/error automatically appear along with a certain judgment. The second type occurs when a controlled inference is made about whether a judgment is true or false. Metacognitive control of the first type occurs when the decision to reject, revise or accept the received judgment is associated with the feelings of rightness/error and automatically appears when one of these feelings appears. The second type takes place when a person rejects (or they are unclear) the results of the first type of metacognitive control and deliberately decides what to do with the received judgment - reject, revise or accept.

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LAY ABSTRACT: The ability to make accurate judgements about our own and others' mental states has been widely researched; however, it is unclear how these two abilities relate to each other. This is important given that there is evidence that autistic individuals can have difficulty with accurately judging others' mental states. Recent evidence suggests that some autistic individuals may also have difficulty accurately judging their own mental states. This may have an impact on various aspects of everyday life but particularly academic success, and therefore it is important that this skill is not overlooked when exploring areas of individual support. The aim of this article is to bring together the research examining autistic individual's ability of making accurate judgements about their own mental states and to establish whether this is an area that warrants further investigation. The results from this article show that autistic individuals may have difficulty making accurate judgements about their own mental states, although this depends on the type of judgement being made. It also highlighted that while autistic children may have difficulties in some areas, these may improve by adulthood. Overall, this article shows that more research is needed to fully understand where specific difficulties lie and how they may be overcome.

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Metacognition plays a role in environment learning (EL). When navigating, we monitor environment information to judge our likelihood to remember our way, and we engage in control by using tools to prevent getting lost. Yet, the relationship between metacognition and EL is understudied. In this paper, we examine the possibility of leveraging metacognition to support EL. However, traditional metacognitive theories and methodologies were not developed with EL in mind. Here, we use traditional metacognitive theories and approaches as a foundation for a new examination of metacognition in EL. We highlight three critical considerations about EL. Namely: (1) EL is a complex process that unfolds sequentially and is thereby enriched with multiple different types of cues, (2) EL is inherently driven by a series of ecologically relevant motivations and constraints, and (3) monitoring and control interact to support EL. In doing so, we describe how task demands and learning motivations inherent to EL should shape how metacognition is explored. With these considerations, we provide three methodological recommendations for investigating metacognition during EL. Specifically, researchers should: (1) instantiate EL goals to impact learning, metacognition, and retrieval processes, (2) prompt learners to make frequent metacognitive judgments and consider metacognitive accuracy as a primary performance metric, and (3) incorporate insights from both transfer appropriate processing and monitoring hypotheses when designing EL assessments. In summary, to effectively investigate how metacognition impacts EL, both ecological and methodological considerations need to be weighed.

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Creative metacognitive monitoring represents the ability to accurately evaluate the quality of own ideas during idea generation. To the best of our knowledge, this study presents the first EEG investigation of creative metacognitive monitoring in the brain, using data, of 100 participants, who generated single, original uses of common objects (alternate uses task). After each response, participants subjectively rated the creative quality of their idea. Additionally, five independent external judges rated the creative quality of all ideas. The correspondence between the subjective and the external performance ratings served as a measure of monitoring accuracy. We applied a generalized linear mixed effects model to investigate effects of creative metacognitive monitoring and creative potential on EEG activity in the alpha band at idea and person level. Participants with both higher monitoring skills and higher creative potential showed stronger alpha power decreases at parietal/occipital sites during creative idea generation and evaluation. Interestingly, only more creative people with lower metacognitive monitoring skills showed the expected alpha power increases at parietal/occipital sites during both phases. Furthermore, metacognitive monitoring skills were associated with lower frontal and temporal/central alpha power during idea evaluation (compared to generation) at the person level. This pattern of findings seems to suggest that less internal attention, less memory load, and increased sensory processing are associated with more effective and accurate monitoring of the creative process. This study sheds first light on the brain mechanisms underlying the interplay of creative metacognitive monitoring skills and creative potential.

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Metacognition is a part of the models of self-regulated learning. The consideration of a broader context resonates with a social cognitive perspective approach to learning which dominates the educational academic field with the theory of self-regulated learning. Metacognition is considered a crucial factor influencing mathematics achievement. Furthermore, the affective field including pupils' self-efficacy, interest and motivation are the phenomena involved in mathematical problem-solving. On the other hand, metacognitive knowledge and metacognitive regulations are not a regular part of mathematics education in the Czech Republic. The main aim of this study was to investigate the relation between pupils' attitude toward mathematics; metacognitive knowledge; self-efficacy and motivation; metacognitive monitoring; and their achievement in solving mathematical problems. All together 1,133 students of Grade 5 from four types of Czech schools participated in the study. There were traditional schools; schools teaching mathematics by genetic constructivism, i.e., Hejný's method; Montessori schools; and Dalton schools were involved. The assessed variables, namely relation to mathematics; metacognitive knowledge; self-efficacy and motivation; metacognitive monitoring; and mathematical achievement were used as an input to regression analysis. Item-response theory was used for assessing the performance of the students and demands of the tasks. The metacognitive monitoring was detected as the most significant predictor of mathematics achievement for higher- and lower-performing students as well as for the item with high and low demands. The study reveals how the different mathematics curricula (un)support the metacognitive processes involved in mathematical problem-solving. The information allows teachers to spend sufficient time with particular types of mathematics problems whose solutions is determined by activation of metacognitive processes. This demonstrates the importance of including the activities for development of metacognitive monitoring in mathematics education.

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Resumen. Si bien la investigación sobre la metacognición y los estilos cognitivos es sólida para cualquier campo solo, pocas investigaciones han abordado los dos juntos. Además, ningún estudio hasta la fecha ha examinado objetivos más específicos relacionados con aspectos específicos de la metacognición, como la habilidad de monitoreo y su relación con el estilo cognitivo. Por lo tanto, el presente estudio investigó medidas de confianza, rendimiento y precisión para tres tipos de juicios metacognitivos (predicción, concurrente y postdicción) y tres tipos diferentes de preguntas metacognitivas: preguntas sobre la tarea, preguntas sobre uno mismo y preguntas en diferentes momentos (antes, durante y después) y cómo se relacionan con el estilo cognitivo (dependiente del campo, intermedio, independiente del campo) en una muestra de 57 estudiantes universitarios colombianos. Los resultados revelaron que había diferencias en la precisión y el sesgo del monitoreo metacognitivo en función del estilo cognitivo, y que estos hallazgos fueron similares entre los diferentes momentos y entre los juicios metacognitivos. Con respecto al estilo cognitivo, aquellos con un estilo cognitivo intermedio o independiente del campo informaron una mayor precisión de monitoreo y menos sesgo que las personas con un estilo dependiente del campo. Se discuten las implicaciones para la investigación, la teoría y la práctica.

Abstract. While research on metacognition and cognitive styles is robust for either field alone, few studies have broached the two together. In addition, no studies to date have examined finer-grained objectives related to specific aspects of metacognition such as monitoring skill and its relation to cognitive style. Thus, the present study investigated confidence, performance, and accuracy measures for three types of metacognitive judgments (prediction, concurrent and postdiction) and three different types of metacognitive questions-questions about the task, questions about the self, and questions at different moments (before, during, and after)-and how these are related to cognitive style (field dependent, intermediate, field independent) in a sample of 57 Colombian university students. Results revealed that there were differences in metacognitive monitoring accuracy and bias as a function of cognitive style, and that these findings were similar both between different moments and across metacognitive judgments. Regarding cognitive style, those with an intermediate or field independent cognitive style reported greater monitoring accuracy and less bias than individuals with a field dependent style. Implications for research, theory, and practice are discussed.

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BACKGROUND AND OBJECTIVE: Metacognitive monitoring refers to the process in which an individual analyzes their own mental state, then monitors and adjusts cognitive activities to achieve a predetermined goal. Recent research has suggested a strong link between metacognition and drug cravings. Conversely, few studies on the impact of metacognitive monitoring on methamphetamine (MA) cravings exist. Thus, this study investigated whether drug cravings would impair MA abusers' metacognitive monitoring and explored the prediction effects of drug cravings. METHOD: Seventy MA abusers from the Zhejiang Compulsory Isolation Drug Rehabilitation Center and 65 non-users from the Wenzhou Medical University were recruited for this experimental study. The judgment of learning (JOL) paradigm was used to examine metacognitive monitoring, and cue-induced pictures were used to induce MA abusers' drug cravings. Analysis of covariance (ANCOVA), partial correlation, and regression analysis were performed. RESULTS: Compared with non-users, MA abusers had significantly poorer metacognitive monitoring and tended to overestimate their performance. Furthermore, there was a significant correlation between the accuracy of JOLs and drug cravings, which indicated that metacognitive monitoring was weakened by drug cravings with higher cravings imposing more severe impacts. In addition, the regression analysis suggested that drug cravings can predict metacognitive monitoring.

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Several species can detect when they are uncertain about what decision to make-revealed by opting out of the choice, or by seeking more information before deciding. However, we do not know whether any nonhuman animals recognize when they need more information to make a decision because new evidence contradicts an already-formed belief. Here, we explore this ability in great apes and human children. First, we show that after great apes saw new evidence contradicting their belief about which of two rewards was greater, they stopped to recheck the evidence for their belief before deciding. This indicates the ability to keep track of the reasons for their decisions, or 'rational monitoring' of the decision-making process. Children did the same at 5 years of age, but not at 3 years. In a second study, participants formed a belief about a reward's location, but then a social partner contradicted them, by picking the opposite location. This time even 3-year-old children rechecked the evidence, while apes ignored the disagreement. While apes were sensitive only to the conflict in physical evidence, the youngest children were more sensitive to peer disagreement than conflicting physical evidence.

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Autistic adults often experience difficulties in taking the perspective of others, potentially undermining their social interactions. We evaluated a quick, forced-choice version of the Adult Theory of Mind (A-ToM) test, which was designed to assess such difficulties and comprehensively evaluated by Brewer et al. (2017). The forced-choice version (the A-ToM-Q) demonstrated discriminant, concurrent, convergent and divergent validity using samples of autistic (N = 96) and non-autistic adults (N = 75). It can be administered in a few minutes and machine-scored, involves minimal training and facilitates large-scale, live, or web-based testing. It permits measurement of response latency and self-awareness, with response characteristics on both measures enhancing understanding of the nature and extent of perspective taking difficulties in autistic individuals.

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