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The aim of this discussion paper is to explore factors and contexts that influence how nurses might conceptualise and assign personhood for people with altered consciousness, cognition and behaviours. While a biomedical framing is founded upon a dichotomy between the body and self, such that the body can be subjected to a medical and objectifying gaze, relational theories of self, multiculturalism and technological advances for life‐sustaining interventions present new dilemmas which necessitate discussion about what constitutes personhood. The concept of personhood is dynamic and evolving: where historical constructs of rationality, agency, autonomy and a conscious mind once formed the basis for personhood, these ideas have been challenged to encompass embodied, relational, social and cultural paradigms of selfhood. Themes in this discussion include: the right to personhood, mind–body dualism versus the embodied self; personhood as consciousness, rationality and narratives of self; social relational contexts of personhood and cultural contexts of personhood. Patricia Benner's and Christine Tanner's clinical judgement model is then applied to consider the implications for nursing care that seeks to reflexively incorporate personhood. Nurse clinicians are able to move between conceptions of personhood and act to support the body, as well as presumed autonomy and relational, social and cultural personhood. In doing so, they use analytical, intuitive and narrative reasoning which prioritises autonomous constructions of self. They also incorporate relational and social contexts of the person receiving care within the possibilities of technological advances and constraints of contextual resources. [ABSTRACT FROM AUTHOR]

Previous research described different cognitive processes on how individuals process distributional information. Based on these processes, the current research uncovered a novel phenomenon in distribution perception: the Endpoint Leverage Effect. Subjective endpoints influence distribution estimations not only locally around the endpoint but also influence estimations across the whole value range of the distribution. The influence is largest close to the respective endpoint and decreases in size toward the opposite end of the value range. Three experiments investigate this phenomenon: Experiment 1 provides correlational evidence for the Endpoint Leverage Effect after presenting participants with a numerical distribution. Experiment 2 demonstrates the Endpoint Leverage Effect by manipulating the subjective endpoints of a numerical distribution directly. Experiment 3 generalizes the phenomenon by investigating a general population sample and estimations regarding a real-world income distribution. In addition, quantitative model analysis examines the cognitive processes underlying the effect. Overall, the novel Endpoint Leverage Effect is found in all three experiments, inspiring further research in a wide area of contexts., (© 2024 The Author(s). Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Background: When mathematical knowledge is expressed in general language, it is called verbalized mathematics. Previous studies on verbalized mathematics typically paid attention to mathematical vocabulary or educational practice. However, these studies did not exclude the role of symbolic mathematics ability, and almost no research has focused on verbalized mathematical principles., Aims: This study is aimed to investigate whether verbalized mathematics ability independently predicts mathematics achievement. The current study hypothesized that verbalized mathematics ability supports mathematics achievement independent of general language, related cognitive abilities and even symbolic mathematical ability., Sample: A sample of 241 undergraduates (136 males, 105 females, mean age = 21.95, SD = 2.38) in Beijing, China., Methods: A total of 12 tests were used, including a verbalized arithmetic principle test, a mathematics achievement test, and tests on general language (sentence completion test), symbolic mathematical ability (including symbolic arithmetic principles test, simple arithmetic computation and complex arithmetic computation), approximate number sense ability (numerosity comparison test) and several related cognitive covariates (including the non-verbal matrix reasoning, the syllogism reasoning, mental rotation, figure matching and choice reaction time)., Results: Results showed that the processing of verbalized arithmetic principles displayed a significant role in mathematics achievement after controlling for general language, related cognitive abilities, approximate number sense ability and symbolic mathematics ability., Conclusions: The results suggest that verbalized mathematics ability was an independent predictor and provided empirical evidence supporting the verbalized mathematics role on achievement as an independent component in three-component mathematics model., (© 2023 British Psychological Society.)

Capacities for abstract thinking and problem-solving are central to human cognition. Processes of abstraction allow the transfer of experiences and knowledge between contexts helping us make informed decisions in new or changing contexts. While we are often inclined to relate such reasoning capacities to individual minds and brains, they may in fact be contingent on human-specific modes of collaboration, dialogue, and shared attention. In an experimental study, we test the hypothesis that social interaction enhances cognitive processes of rule-induction, which in turn improves problem-solving performance. Through three sessions of increasing complexity, individuals and groups were presented with a problem-solving task requiring them to categorize a set of visual stimuli. To assess the character of participants' problem representations, after each training session, they were presented with a transfer task involving stimuli that differed in appearance, but shared relations among features with the training set. Besides, we compared participants' categorization behaviors to simulated agents relying on exemplar learning. We found that groups performed superior to individuals and agents in the training sessions and were more likely to correctly generalize their observations in the transfer phase, especially in the high complexity session, suggesting that groups more effectively induced underlying categorization rules from the stimuli than individuals and agents. Crucially, variation in performance among groups was predicted by semantic diversity in members' dialogical contributions, suggesting a link between social interaction, cognitive diversity, and abstraction., (© 2023 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Understanding the magnitudes represented by numerals is a core component of early mathematical development and is often assessed by accuracy in situating numerals and fractions on a number line. Performance on these measures is consistently related to performance in other mathematics domains, but the strength of these relations may be overestimated because general cognitive ability has not been fully controlled in prior studies. The first of two meta-analyses (162 studies, 33,101 participants) confirmed a relation between performance on whole number (r = 0.33) and fractions number (r = 0.41) lines and overall mathematics performance. These relations were generally consistent across content domains (e.g., algebra and computation) and other moderators. The second (71 studies, 14,543 participants) used meta-analytic structural equation modeling to confirm these relations while controlling general cognitive ability (defined by IQ and working memory measures) and, in one analysis, general mathematics competence. The relation between number line performance and general mathematics competence remained significant but reduced (β = 0.13). Controlling general cognitive ability, whole number line performance consistently predicted competence with fractions but not performance on numeracy or computations measures. The results suggest an understanding of the magnitudes represented by whole numbers might be particularly important for students' fractions learning. RESEARCH HIGHLIGHTS: Two meta-analyses examined the link between the number line and mathematics performance. The first revealed significant relations across domains (e.g., algebra and computation). The second controlled for general cognitive ability and resulted in reduced but still significant relations. The relation between number line and fractions performance was stronger than relations to other domains., (© 2024 John Wiley & Sons Ltd.)

This paper aims to show that properties of cognitive/conceptual representations and formal-logical structures of linguistic meaning can be inter-translated, recast, transformed into one another, and so united together, even though cognitive/conceptual representations and formal-logical structures of linguistic meaning are apparently distinct in ontology and divergent in their form or character. While cognitive/conceptual representations are ultimately rooted in sensory-motor systems, formal-logical structures of linguistic meaning are abstractions detached from and independent of the actualized world. This paper sketches out the foundations of how representations of linguistic meaning in terms of cognitive/conceptual structures in Cognitive/Conceptual Semantics can be unified with those in terms of formal-logical structures in Formal Semantics. This is done by recasting cognitive/conceptual representations in terms of formal-logical structures of linguistic meaning and re-encoding formal-logical structures of linguistic meaning in terms of cognitive/conceptual representations. Then, these two types of semantic representations, thus shown representationally equivalent, will be related to a series of derivations across levels in neuronal networks and dynamics. The general discussion on unifying cognitive/conceptual representations of linguistic meaning with formal-logical structures is contextualized within the broader context of theorizing in cognitive science., (© 2024 Cognitive Science Society LLC.)

Social cognition differs from general cognition in its focus on understanding, perceiving, and interpreting social information. However, we argue that the significance of domain-general processes for controlling cognition has been historically undervalued in social cognition and social neuroscience research. We suggest much of social cognition can be characterized as specialized feature representations supported by domain-general cognitive control systems. To test this proposal, we develop a comprehensive working model, based on an interactive activation and competition architecture and applied to the control of action. As such, we label the model "ICON" (interactive activation and competition model for the control of action). We used the ICON model to simulate human performance across various laboratory tasks. Our simulations emphasize that many laboratory-based social tasks do not require socially specific control systems, such as those that are argued to rely on neural networks associated with theory-of-mind. Moreover, our model clarifies that perceived disruptions in social cognition, even in what appears to be disruption to the control of social cognition, can stem from deficits in social representation instead. We advocate for a "default stance" in social cognition, where control is usually general, but representation is specific. This study underscores the importance of integrating social cognition within the broader realm of domain-general control processing, offering a unified perspective on task processing., (© 2024 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

One approach to understanding how the human cognitive system stores and operates with quantifiers such as "some," "many," and "all" is to investigate their interaction with the cognitive mechanisms for estimating and comparing quantities from perceptual input (i.e., nonsymbolic quantities). While a potential link between quantifier processing and nonsymbolic quantity processing has been considered in the past, it has never been discussed extensively. Simultaneously, there is a long line of research within the field of numerical cognition on the relationship between processing exact number symbols (such as "3" or "three") and nonsymbolic quantity. This accumulated knowledge can potentially be harvested for research on quantifiers since quantifiers and number symbols are two different ways of referring to quantity information symbolically. The goal of the present review is to survey the research on the relationship between quantifiers and nonsymbolic quantity processing mechanisms and provide a set of research directions and specific questions for the investigation of quantifier processing., (© 2023 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Background: New methods are constantly being developed to adapt cognitive load measurement to different contexts. However, research on middle childhood students' cognitive load measurement is rare. Research indicates that the three cognitive load dimensions (intrinsic, extraneous, and germane) can be measured well in adults and teenagers using differentiated subjective rating instruments. Moreover, digital ink recorded by smartpens could serve as an indicator for cognitive load in adults., Aims: With the present research, we aimed at investigating the relation between subjective cognitive load ratings, velocity and pressure measures recorded with a smartpen, and performance in standardized sketching tasks in middle childhood students., Sample: Thirty-six children (age 7-12) participated at the university's laboratory., Methods: The children performed two standardized sketching tasks, each in two versions. The induced intrinsic cognitive load or the extraneous cognitive load was varied between the versions. Digital ink was recorded while the children drew with a smartpen on real paper and after each task, they were asked to report their perceived intrinsic and extraneous cognitive load using a newly developed 5-item scale., Results: Results indicated that cognitive load ratings as well as velocity and pressure measures were substantially related to the induced cognitive load and to performance in both sketching tasks. However, cognitive load ratings and smartpen measures were not substantially related., Conclusions: Both subjective rating and digital ink hold potential for cognitive load and performance measurement. However, it is questionable whether they measure the exact same constructs., (© 2023 The Authors. British Journal of Educational Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.)

Background: Self-management of cognitive load is a recent development in cognitive load theory. Finger pointing has been shown to be a potential self-management strategy to support learning from spatially separated, but mutually referring text and pictures (i.e., split-attention examples)., Aims: The present study aimed to extend the prior research on the pointing strategy and investigated the effects of finger pointing on learning from online split-attention examples. Moreover, we examined an alternative pointing strategy using the computer mouse, and a combination of finger pointing and computer-mouse pointing., Sample: One-hundred and forty-five university students participated in the present study., Method: All participants studied an online split-attention example about the human nervous system and were randomly allocated to one of four conditions: (1) pointing with the index finger, (2) pointing with the computer mouse, (3) pointing with the index finger and the computer mouse and (4) no pointing., Results: Results confirmed our main hypothesis, indicating that finger pointing led to higher retention performance than no pointing. However, the mouse pointing strategy and the combined finger and mouse pointing strategy did not show supportive effects., Conclusions: Finger pointing can be used as a simple and convenient self-management strategy in online learning environments. Mouse pointing may not be as effective as finger pointing., (© 2022 The Authors. British Journal of Educational Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.)

The present research examines whether identity essentialism, an important component of psychological essentialism, is a fundamental feature of human cognition. Across three studies (N total = 1723), we report evidence that essentialist intuitions about the identity of kinds are culturally dependent, demographically variable, and easily malleable. The first study considered essentialist intuitions in 10 different countries spread across four continents. Participants were presented with two scenarios meant to elicit essentialist intuitions. Their answers suggest that essentialist intuitions vary dramatically across cultures. Furthermore, these intuitions were found to vary with gender, education, and across eliciting stimuli. The second study further examined whether essentialist intuitions are stable across different kinds of eliciting stimuli. Participants were presented with two different scenarios meant to elicit essentialist intuitions-the "discovery" and "transformation" scenarios. Their answers suggest that the nature of the eliciting stimuli influences whether or not people report essentialist intuitions. Finally, the third study demonstrates that essentialist intuitions are susceptible to framing effects. Keeping the eliciting stimulus (i.e., the scenario) constant, we show that the formulation of the question eliciting a judgment influences whether or not people have essentialist intuitions. Implications of these findings for identity essentialism and psychological essentialism, in general, are discussed., (© 2023 Cognitive Science Society LLC.)

This article analyses the relationship between the concept of single aspect similarity and proposed measures of similarity. More precisely, it compares eleven measures of similarity in terms of how well they satisfy a list of desiderata, chosen to capture common intuitions concerning the properties of similarity and the relations between similarity and dissimilarity. Three types of measures are discussed: similarity as commonality, similarity as a function of dissimilarity, and similarity as a joint function of commonality and difference. Relative to the desiderata, it is found that a measure of the second type fares the best. However, rather than recommend this measure alone as a measure of similarity, it is suggested that there are at least three separate concepts of single aspect similarity, corresponding to the three types of measures. In light of this proposal, three of the eleven measures (and variants of these) are deemed acceptable. [ABSTRACT FROM AUTHOR]

Adult learning involves the analysis and synthesis of knowledge to become competent, which cannot be assessed only by traditional assessment tool and didactic learning methods. Stimulation of higher domains of cognitive learning needs to be inculcated to reach a better understanding of the subject rather than traditional assessment tools that relies primarily on rote learning. So, there is need for an alternative assessment tool. Hence, we conducted a study where we used case‐based examination methodology. This study was conducted on 226 Ist year MBBS students in Maulana Azad Medical College, New Delhi (India). Based on their compiled internal assessment marks according to monthly formative assessment, students were categorized into 3 groups (I: 0–7; II: 8–14; III: 15–20) marks out of 20 marks respectively. Two sets of question papers were set by three examiners, on the same topics carrying 50 marks each. The first set was based on traditional assessment tool (Paper‐A) with recall questions and second set on case‐based assessment method (Paper‐B). Out of 226 students, 146 were males and 80 were females. For all groups, marks (mean ± SD) in Paper B were found to be higher (18.40 ± 4.29, 30.01 ± 4.12, and 40.33 ± 1.15) as compared to paper A (10.88 ± 4.34, 21.96 ± 7.34, and 31.50 ± 6.94) respectively. However, we found that there was significant (p < 0.001) difference in group I & II, whereas with group III, difference was found to be insignificant. Hence, we concluded that students performed better in case‐based assessment rather than traditional method due to their direct involvement. Thus, for better memory and deeper learning the subjects can be assessed by case‐based assessment method. [ABSTRACT FROM AUTHOR]

This paper examines the magnitude and source of gender gaps in cognitive and social-emotional skills in early primary grades in rural Indonesia. Relative to boys, girls score more than 0.17 SD higher in tests of language and mathematics (cognitive skills) and between 0.18 and 0.27 SD higher in measures of social competence and emotional maturity (social-emotional skills). We use Oaxaca-Blinder decomposition to investigate the extent to which gender differences in early schooling and parenting practices explain these gender gaps in skills. For cognitive skills, differences in early schooling between boys and girls explain between 9% and 11% of the gender gap whereas differences in parenting practices explain merely 3%-5% of the gender gap. This decomposition result is driven largely by children living in villages with high-quality preschools. In contrast, for social-emotional skills, differences in parenting styles toward boys and girls explain between 13% and 17% of the gender gap, while differences in early schooling explain only 0%-6% of the gender gap., (© 2019 The World Bank Developmental Science © 2019 John Wiley & Sons Ltd.)

Heart failure (HF) is a complex clinical syndrome with multiple interactions between the failing myocardium and cerebral (dys-)functions. Bi-directional feedback interactions between the heart and the brain are inherent in the pathophysiology of HF: (i) the impaired cardiac function affects cerebral structure and functional capacity, and (ii) neuronal signals impact on the cardiovascular continuum. These interactions contribute to the symptomatic presentation of HF patients and affect many co-morbidities of HF. Moreover, neuro-cardiac feedback signals significantly promote aggravation and further progression of HF and are causal in the poor prognosis of HF. The diversity and complexity of heart and brain interactions make it difficult to develop a comprehensive overview. In this paper a systematic approach is proposed to develop a comprehensive atlas of related conditions, signals and disease mechanisms of the interactions between the heart and the brain in HF. The proposed taxonomy is based on pathophysiological principles. Impaired perfusion of the brain may represent one major category, with acute (cardio-embolic) or chronic (haemodynamic failure) low perfusion being sub-categories with mostly different consequences (i.e. ischaemic stroke or cognitive impairment, respectively). Further categories include impairment of higher cortical function (mood, cognition), f brain stem function (sympathetic over-activation, neuro-cardiac reflexes). Treatment-related interactions could be categorized as medical, interventional and device-related interactions. Also interactions due to specific diseases are categorized. A methodical approach to categorize the interdependency of heart and brain may help to integrate individual research areas into an overall picture. [ABSTRACT FROM AUTHOR]

Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, overgeneralized conclusions. We support this account of scientific induction by integrating a range of disparate findings from across the cognitive sciences that have until now not been connected to research on the nature of scientific induction. The view that scientific induction involves by default a generalization bias calls for a revision of the current thinking about scientific induction and highlights an overlooked cause of the replication crisis in the sciences. Commonly proposed interventions to tackle scientific overgeneralizations that may feed into this crisis need to be supplemented with cognitive debiasing strategies against generalization bias to most effectively improve science., (© 2022 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Theories of grounded and embodied cognition offer a range of accounts of how reasoning and body-based processes are related to each other. To advance theories of grounded and embodied cognition, we explore the cognitive relevance of particular body states to associated math concepts. We test competing models of action-cognition transduction to investigate the cognitive relevance of directed actions to students' mathematical reasoning in the area of geometry. The hypotheses we test include (1) that cognitively relevant directed actions have a direct effect on performance (direct cognitive relevance hypothesis), (2) that cognitively relevant directed actions lead to more frequent production of gestures during explanations, which leads to improved performance (mediated cognitive relevance hypothesis), and (3) that performance effects of directed actions are influenced by the presence or absence of gesture production during mathematical explanations (moderated cognitive relevance hypothesis). We explore these hypotheses in an experiment where high school students (N = 85) evaluated the truth of geometry conjectures after performing cognitively relevant or cognitively irrelevant directed actions while playing a movement-based video game. Contrary to the direct and mediated cognitive relevance hypotheses, we found no overall differences in performance or gesture production between relevant and irrelevant conditions. Consistent with the moderated cognitive relevance hypothesis, cognitive relevance influenced mathematical performance, as measured by the accuracy of students' intuitions, insights, and the validity of their proofs, provided that students produced certain kinds of gestures during mathematical explanations (i.e., with explanatory gestures as the moderator). Implications for theories of grounded and embodied cognition and the design of embodied forms of educational interventions are discussed., (© 2022 Cognitive Science Society LLC.)

When a population exhibits collective cognitive alignment, such that group members tend to perceive, remember, and reproduce information in similar ways, the features of socially transmitted variants (i.e., artifacts, behaviors) may converge over time towards culture-specific equilibria points, often called cultural attractors. Because cognition may be plastic, shaped through experience with the cultural products of others, collective cognitive alignment and stable cultural attractors cannot always be taken for granted, but little is known about how these patterns first emerge and stabilize in initially uncoordinated populations. We propose that stable cultural attractors can emerge from general principles of human categorization and communication. We present a model of cultural attractor dynamics, which extends a model of unsupervised category learning in individuals to a multiagent setting wherein learners provide the training input to each other. Agents in our populations spontaneously align their cognitive category structures, producing emergent cultural attractor points. We highlight three interesting behaviors exhibited by our model: (1) noise enhances the stability of cultural category structures; (2) short 'critical' periods of learning early in life enhance stability; and (3) larger populations produce more stable but less complex attractor landscapes, and cliquish network structure can mitigate the latter effect. These results may shed light on how collective cognitive alignment is achieved in the absence of shared, innate cognitive attractors, which we suggest is important to the capacity for cumulative cultural evolution., (© 2022 Cognitive Science Society LLC.)

The International League Against Epilepsy ( ILAE) presents a revised operational classification of seizure types. The purpose of such a revision is to recognize that some seizure types can have either a focal or generalized onset, to allow classification when the onset is unobserved, to include some missing seizure types, and to adopt more transparent names. Because current knowledge is insufficient to form a scientifically based classification, the 2017 Classification is operational (practical) and based on the 1981 Classification, extended in 2010. Changes include the following: (1) 'partial' becomes 'focal'; (2) awareness is used as a classifier of focal seizures; (3) the terms dyscognitive, simple partial, complex partial, psychic, and secondarily generalized are eliminated; (4) new focal seizure types include automatisms, behavior arrest, hyperkinetic, autonomic, cognitive, and emotional; (5) atonic, clonic, epileptic spasms, myoclonic, and tonic seizures can be of either focal or generalized onset; (6) focal to bilateral tonic-clonic seizure replaces secondarily generalized seizure; (7) new generalized seizure types are absence with eyelid myoclonia, myoclonic absence, myoclonic-atonic, myoclonic-tonic-clonic; and (8) seizures of unknown onset may have features that can still be classified. The new classification does not represent a fundamental change, but allows greater flexibility and transparency in naming seizure types. [ABSTRACT FROM AUTHOR]

Background: Research into numerical cognition has contributed to a large body of knowledge on how children learn and perform mathematics. This knowledge has the potential to inform mathematics education. Unfortunately, numerical cognition research and mathematics education remain disconnected from one another, lacking the proper infrastructure to allow for productive and meaningful exchange between disciplines. The present study was designed to address this gap., Aim: This study reports on the design, implementation, and effects of a 16-week (25-hour) mathematics Professional Development (PD) model for Kindergarten to Grade 3 educators and their students. A central goal of the PD was to better integrate numerical cognition research and mathematics education., Sample: A total of 45 K-3 educators and 180 of their students participated., Methods: To test the reproducibility and replicability of the model, the study was carried out across two different sites, over a two-year period, and involved a combination of two different study designs: a quasi-experimental pre-post-research design and a within-group crossover intervention design., Result: The results of the first implementation (Year 1), indicated that compared to a control group, both teachers and students benefited from the intervention. Teachers demonstrated gains on both a self-report measure and a test of numerical cognition knowledge, while students demonstrated gains in number line estimation, arithmetic, and numeration. In Year 2, teachers in the intervention group demonstrated greater improvements than the control group on the self-report measure, but not the test of numerical cognition knowledge. At the student level, there was some evidence of gains in numeration., Conclusion: The current PD model is a promising approach to better integrate research and practice. However, more research is needed to determine in which school contexts the model is most effective., (© 2021 The British Psychological Society.)

How does the human brain link relational concepts to perceptual experience? For example, a speaker may say "the cup to the left of the computer" to direct the listener's attention to one of two cups on a desk. We provide a neural dynamic account for both perceptual grounding, in which relational concepts enable the attentional selection of objects in the visual array, and for the generation of descriptions of the visual array using relational concepts. In the model, activation in neural populations evolves dynamically under the influence of both inputs and strong interaction as formalized in dynamic field theory. Relational concepts are modeled as patterns of connectivity to perceptual representations. These generalize across the visual array through active coordinate transforms that center the representation of target objects in potential reference objects. How the model perceptually grounds or generates relational descriptions is probed in 104 simulations that systematically vary the spatial and movement relations employed, the number of feature dimensions used, and the number of matching and nonmatching objects. We explain how sequences of decisions emerge from the time- and state-continuous neural dynamics, how relational hypotheses are generated and either accepted or rejected, followed by the selection of new objects or the generation of new relational hypotheses. Its neural realism distinguishes the model from information processing accounts, its capacity to autonomously generate sequences of processing steps distinguishes it from deep neural network accounts. The model points toward a neural dynamic theory of higher cognition., (© 2021 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Enriched environments are beneficial to neurobiological development; specifically, rodents exposed to complex, rather than standard laboratory, environments exhibit evidence of neuroplasticity and enhanced cognitive performance. In the present study, the nature of elements placed in the complex environment was investigated. Accordingly, rats (n = 8 per group) were housed either in a natural environment characterised by stimuli such as dirt and rocks, an artificial environment characterised by plastic toys and synthetic nesting materials, a natural/artificial environment characterised by a combination of artificial and natural stimuli or a laboratory standard environment characterised by no enrichment stimuli. Following exposure to emotional and cognitive behavioural tasks, including a cricket hunting task, a novel object preference task and a forced swim task, brains were processed for glial fibrillary acidic protein ( GFAP)-, neuronal nuclei (NeuN)- and brain-derived neurotrophic factor ( BDNF) immunoreactivity. Baseline and stress foecal samples were collected to assess corticosterone ( CORT) and dehydroepiandrosterone ( DHEA). Natural environment animals exhibited shorter diving latencies and increased diving frequencies in the second forced swimming task, along with higher DHEA/ CORT ratios, and higher GFAP immunoreactivity in the hippocampus. The type of environmental enrichment did not influence levels of BDNF immunoreactivity in the CA1, CA3 and dentate gyrus of the hippocampus; however, natural environment animals exhibited higher levels of NeuN immunoreactivity in the retrosplenial cortex, an area involved in spatial memory and other cognitive functions. These results suggest that, in addition to enhancing behavioural and endocrinological variables associated with resilience, exposure to natural stimuli might alter plasticity in brain areas associated with cortical processing and learning. [ABSTRACT FROM AUTHOR]

Background: Previous studies have suggested that teachers' frequent use of cognitive activation strategies in mathematics lessons is positively associated with students' mathematics achievement., Aims: This study aims to investigate the possible mediating role of mathematics self-efficacy in the association between cognitive activation and achievement in mathematics classrooms. Besides that, we explored the moderating role of students' socioeconomic status (SES) in the relationships between cognitive activation, mathematics self-efficacy, and mathematics achievement., Samples: This study employed data from a project of the National Assessment Center for Education Quality (NACEQ) in China. A sample with 8707 fourth-grade primary students and 129 mathematics teachers was analysed., Methods: The multi-level analysis was used in this study with students representing the level-1 units and teachers representing the level-2 units., Results: Based on a large-scale standard assessment and survey in China, this study showed that cognitive activation was positively related to mathematics performance overall. Mathematics self-efficacy played a vital mediating role in the association between cognitive activation and mathematics achievement. The indirect relationship between cognitive activation and mathematics achievement via mathematics self-efficacy was moderated by SES both at the student level and the teacher level., Conclusions: Our study suggests the importance of cognitively activating instruction, especially for students with lower SES and classes with lower average SES., (© 2020 The British Psychological Society.)

We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on vectors and tensors in a high-dimensional space using a distributional semantics model. High-dimensional vector spaces underlie the success of modern machine learning techniques based on deep learning. However, while neural networks have an impressive ability to process data to find patterns, they do not typically model high-level cognition, and it is often unclear how they work. Symbolic cognitive architectures can capture the complexities of high-level cognition and provide human-readable, explainable models, but scale poorly to naturalistic, non-symbolic, or big data. Vector-symbolic architectures, where symbols are represented as vectors, bridge the gap between the two approaches. We posit that cognitive architectures, if implemented in a vector-space model, represent a useful, explanatory model of the internal representations of otherwise opaque neural architectures. Our proposed model, Holographic Declarative Memory (HDM), is a vector-space model based on distributional semantics. HDM accounts for primacy and recency effects in free recall, the fan effect in recognition, probability judgments, and human performance on an iterated decision task. HDM provides a flexible, scalable alternative to symbolic cognitive architectures at a level of description that bridges symbolic, quantum, and neural models of cognition., (© 2020 Cognitive Science Society, Inc.)

The own-age bias (OAB) is suggested to be caused by perceptual-expertise and/or social-cognitive mechanisms. Bryce and Dodson (2013, Psychology and Aging, 28, 87, Exp 2) provided support for the social-cognitive account, demonstrating an OAB for participants who encountered a mixed-list of own- and other-age faces, but not for participants who encountered a pure-list of only own- or other-age faces. They proposed that own-age/other-age categorization, and the resulting OAB, only emerge when age is made salient in the mixed-list condition. Our study aimed to replicate this finding using methods typically used to investigate the OAB to examine their robustness and contribution to our understanding of how the OAB forms. Across three experiments that removed theoretically unimportant components of the original paradigm, varied face sex, and included background scenes, the OAB emerged under both mixed-list and pure-list conditions. These results are more consistent with a perceptual-expertise than social-cognitive account of the OAB, but may suggest that manipulating age salience using mixed-list and pure-list presentations is not sufficient to alter categorization processes., (© 2019 The British Psychological Society.)

In two experiments, we explored the nature of the bias observed in the bat/ball problem of the cognitive reflection test (Frederick, 2005, J. Econ. Perspect., 19, 25), how to override it, and its relation to executive functioning. Based on the original bat/ball problem, we designed two additional isomorphic items. In Experiment 1, for four age groups, including 7-, 11-, and 15-year-olds and adults, we determined that the bias is related to the System 1 intervention; the performance in this item was not a matter of mathematical ability and it could be facilitated by changing the order in which the problems were presented. In Experiment 2, we determined that for 15-year-olds, good and bad performances in the item were related to executive functioning, particularly response-distractor inhibition, updating information in working memory, and the regulation of attention; however, subtle differences were identified when the problem was performed in a facilitative context compared with a non-facilitative context. The results indicated that cognitive abilities are a necessary but non-sufficient condition to resolve the problem., (© 2019 The British Psychological Society.)

A long-standing debate in the field of numerical cognition concerns the degree to which symbolic and non-symbolic processing are related over the course of development. Of particular interest is the possibility that this link depends on the range of quantities in question. Behavioral and neuroimaging research with adults suggests that symbolic and non-symbolic quantities may be processed more similarly within, relative to outside of, the subitizing range. However, it remains unclear whether this unique link exists in young children at the outset of formal education. Further, no study has yet taken numerical size into account when investigating the longitudinal influence of these skills. To address these questions, we investigated the relation between symbolic and non-symbolic processing inside versus outside the subitizing range, both cross-sectionally and longitudinally, in 540 kindergarteners. Cross-sectionally, we found a consistently stronger relation between symbolic and non-symbolic number processing within versus outside the subitizing range at both the beginning and end of kindergarten. We also show evidence for a bidirectional relation over the course of kindergarten between formats within the subitizing range, and a unidirectional relation (symbolic → non-symbolic) for quantities outside of the subitizing range. These findings extend current theories on symbolic and non-symbolic magnitude development by suggesting that non-symbolic processing may in fact play a role in the development of symbolic number abilities, but that this influence may be limited to quantities within the subitizing range., (© 2019 John Wiley & Sons Ltd.)

Background: Critical events require that clinicians process information and make decisions quickly. To reduce mental workload during such events, cognitive aids have been developed. We have previously observed that designing such aids to facilitate discrete information transfer decreased time to information finding. However, whether clinicians perceive aids designed for discrete information transfer as more usable than step-by-step designs remains unclear. We hypothesized that experimental cognitive aids designed for discrete information transfer would be judged more usable than step-by-step Linear aids., Methods: Volunteer clinicians were asked to use cognitive aids during low fidelity simulation scenarios. Experimental cognitive aids featuring color-coded, labeled, and consistently located content clusters were compared with aids formatted in a traditional step-by-step fashion. We then performed a quantitative assessment of perceived usability and conducted structured knowledge elicitation interviews., Results: Clinicians rated the two experimental cognitive aids as more usable than the Linear aid. On a 0-100 scale the median (IQR) rating was 25(18,23) for the Linear aid and 89(80,95) and 81(65,90) for the two experimental designs, respectively, with a higher number indicating greater ease of use (P < .01 for each). Narrative responses suggested specific features that improved usability and a thematic analysis identified six major themes driving preference for cognitive aid use., Conclusion: During simulated critical events, cognitive aids designed for discrete information transfer were considered more usable than step by step Linear aids. Specific themes governing usability were identified during mixed methods analysis. Further work is needed to optimize cognitive aid use among anesthesia clinicians., (© 2019 The Acta Anaesthesiologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.)

As a core component of most cognitive diagnosis models, the Q-matrix, or item and attribute association matrix, is typically developed by domain experts, and tends to be subjective. It is critical to validate the Q-matrix empirically because a misspecified Q-matrix could result in erroneous attribute estimation. Most existing Q-matrix validation procedures are developed for dichotomous responses. However, in this paper, we propose a method to empirically detect and correct the misspecifications in the Q-matrix for graded response data based on the sequential generalized deterministic inputs, noisy 'and' gate (G-DINA) model. The proposed Q-matrix validation procedure is implemented in a stepwise manner based on the Wald test and an effect size measure. The feasibility of the proposed method is examined using simulation studies. Also, a set of data from the Trends in International Mathematics and Science Study (TIMSS) 2011 mathematics assessment is analysed for illustration., (© 2019 The British Psychological Society.)

Background: In the digital environment, users' academic reading behaviour has changed, working with many articles simultaneously to search, filter, scan, link, annotate and analyse content fragments. The semantic enhancement environment has been widely set with semantic technologies to offer additional and handy support for users and thus facilitate the reading process. Despite many efforts devoted to developing a semantic enhancement environment, less attention has been paid to its actual effects. Objectives: This study aims to explore the effects of a semantic enhancement environment. Methods: Elaborating on cognitive load theory and focusing on academic reading, this study compared users' cognitive load and reading effect under the semantic enhancement environment and plain text environment and verified the three hypotheses. Results and conclusions: Through experiments and statistical analysis, this study found that, under a semantic enhancement environment, users had their cognitive load reduced and their reading effect improved. Consequently, a semantic enhancement environment promotes academic reading. Takeaways: This study adds to previous literature on semantic publishing by empirically corroborating the conducive effects of semantic enhancement environment in academic reading. Additionally, it justifies semantic publishing and provides a reference for the future design of semantically enhanced reading environments. Lay Description: What is already known about this topic?: The effects of a semantic enhancement environment are open to discuss.Academic reading is fundamental to researches and hence needs promotion.Limited studies investigated the effects of a semantic enhancement environment on academic reading.Publishers require effective reading environment designs. What this paper adds?: This study constructed a semantic enhancement reading environment to conduct a reading experiment.The experiment tested cognitive load, by using WP scale, and reading effects, by answer time and answer score.Semantic enhancement environment reduces users' cognitive load, promotes users' reading effects, and bolsters users' understanding of academic reading materials, especially in microstructure content.The design of semantic enhancement reading environments needs to fully consider the features of reading materials and give users a controllable way of interaction. The implications of study findings for practitioners: Compared to plain text environment, semantic enhancement environment is preferred in academic reading.Publishers are encouraged to add semantic enhancements to their publications.This study discussed how to design an effective learning and reading environment from the perspectives of reading resources, media forms of resources, and interaction modes. [ABSTRACT FROM AUTHOR]

Intellectual abilities display high heterogeneity in patients with schizophrenia that might depend on the interaction among neurodevelopmental processes, environmental factors and neurocognitive decline. This study aimed to disentangle the interplay between intellectual level, cognitive status and each cognitive domain, with a focus on speed-related abilities, also including pre-morbid factors. In details, by means of cluster analysis, we identified both in global sample of 452 patients affected by schizophrenia and in a subsample with high pre-morbid functioning, different profiles based on current intellectual level and global cognitive status, analysing the distribution of deficits in each cognitive domains between groups. Then, through regression models, we analysed the contribution of speed-related domains and global cognitive profile to each other cognitive function. Considering the whole sample, results highlight three groups (high, medium and low cognitive level), while among patients with high pre-morbid level, the heterogeneity was best captured by two groups (high and medium level). Still, within each group, a small to high percentage of patients achieved normal score in neurocognitive abilities depending on the cluster they belong to. Speed of processing and psychomotor coordination resulted impaired in all clusters, even in patients with high pre-morbid functioning. The regression analyses revealed significant effects of both cognitive profile and speed-dependent domains on the other cognitive abilities. This study confirms, in a large sample, previous data about the heterogeneity of intellectual and neurocognitive functioning in schizophrenia and highlights the main role of speed-dependent neurocognitive functioning, also as an important target of rehabilitation., (© 2018 The British Psychological Society.)

Visual representations are prevalent in STEM instruction. To benefit from visuals, students need representational competencies that enable them to see meaningful information. Most research has focused on explicit conceptual representational competencies, but implicit perceptual competencies might also allow students to efficiently see meaningful information in visuals. Most common methods to assess students' representational competencies rely on verbal explanations or assume explicit attention. However, because perceptual competencies are implicit and not necessarily verbally accessible, these methods are ill-equipped to assess them. We address these shortcomings with a method that draws on similarity learning, a machine learning technique that detects visual features that account for participants' responses to triplet comparisons of visuals. In Experiment 1, 614 chemistry students judged the similarity of Lewis structures and in Experiment 2, 489 students judged the similarity of ball-and-stick models. Our results showed that our method can detect visual features that drive students' perception and suggested that students' conceptual knowledge about molecules informed perceptual competencies through top-down processes. Furthermore, Experiment 2 tested whether we can improve the efficiency of the method with active sampling. Results showed that random sampling yielded higher accuracy than active sampling for small sample sizes. Together, the experiments provide the first method to assess students' perceptual competencies implicitly, without requiring verbalization or assuming explicit visual attention. These findings have implications for the design of instructional interventions that help students acquire perceptual representational competencies., (© 2019 Cognitive Science Society, Inc.)

Background: The present Special Issue contains 9 papers exploring novel cognitive load theory research questions. Aim: To provide a discussion of the 9 articles in this Special Issue of the Journal and to highlight the strengths and weaknesses of the papers and indicate opportunities for future studies. Procedure: Briefly summarizes cognitive load theory in its current version followed by the discussion of the 9 individual papers. [ABSTRACT FROM AUTHOR]

Obsessive–compulsive disorder (OCD) is one of the most debilitating health conditions in the world. There has been a vast amount of research into factors that increase the likelihood of developing OCD, and there are several explanatory models. Current cognitive models of OCD can be split into appraisal‐based and self‐doubt models. To date, cognitive–behavioural therapy for OCD (grounded in appraisal‐based models) is the recommended treatment approach, and research into the importance of self‐doubt beliefs has been somewhat neglected. This paper therefore aims to consolidate current research, utilizing a systematic review approach, to establish the relationship between fear of self, self‐ambivalence, and obsessive–compulsive symptomatology. A systematic search was conducted based on inclusion criteria identified for this review. Papers were then individually appraised for quality and key data extracted from each paper. A total of 11 studies were included in the final sample. Fear of self and self‐ambivalence were both consistently found to be significant predictors of obsessive–compulsive symptomatology. In particular, research suggests that there is a strong link between self‐doubt beliefs and obsessions and obsessional beliefs related to OCD. Limitations of the review and suggestions for future research are made and applications to clinical practice discussed. [ABSTRACT FROM AUTHOR]

Aims To understand processes placing individuals at risk for stimulant (amphetamine and cocaine) use disorder. Design Longitudinal study. Setting University of California, San Diego Department of Psychiatry, CA, USA. Participants Occasional stimulant users (OSU; n = 184) underwent a baseline clinical interview and a functional magnetic resonance imaging (fMRI) session. On the basis of a follow-up clinical interview completed 3 years later, OSU ( n = 147) were then categorized as problem stimulant users (PSU: n = 36; those who developed stimulant use disorders in the interim) or desisted stimulant users (DSU: n = 74; those who stopped using). OSU who did not meet criteria for PSU or DSU ( n = 37) were included in dimensional analyses. Measurements fMRI blood oxygen level-dependent (BOLD) contrast percentage signal change from baseline collected during a Paper-Scissors-Rock task was examined during three decision-making conditions, those resulting in: (1) wins, (2) ties and (3) losses. These data were used as dependent variables in categorical analyses comparing PSU and DSU, as well as dimensional analyses including interim drug use as predictors, controlling for baseline drug use. Findings PSU exhibited lower anterior cingulate, middle insula, superior temporal, inferior parietal, precuneus and cerebellum activation than DSU across all three conditions (significant brain clusters required > 19 neighboring voxels to exceed F(1,108) = 5.58, P < 0.01 two-tailed; all Cohen's d > 0.83). Higher interim marijuana use was linked to lower pre-central and superior temporal activation during choices resulting in wins (> 19 neighboring voxels to exceed t = 2.61, P < 0.01 two-tailed; R2 change > 0.11). Conclusions Individuals who transition from stimulant use to stimulant use disorder appear to show alterations in neural processing of stimulus valuation and outcome monitoring, patterns also evident in chronic stimulant use disorder. Attenuated anterior cingulate and insular processing may constitute a high-risk neural processing profile, which could be used to calculate risk scores for individuals experimenting with stimulants. [ABSTRACT FROM AUTHOR]

When people talk about kinship systems, they often use co-speech gestures and other representations to elaborate. This paper investigates such polysemiotic (spoken, gestured, and drawn) descriptions of kinship relations, to see if they display recurring patterns of conventionalization that capture specific social structures. We present an exploratory hypothesis-generating study of descriptions produced by a lesser-known ethnolinguistic community to the cognitive sciences: the Paamese people of Vanuatu. Forty Paamese speakers were asked to talk about their family in semi-guided kinship interviews. Analyses of the speech, gesture, and drawings produced during these interviews revealed that lineality (i.e., mother's side vs. father's side) is lateralized in the speaker's gesture space. In other words, kinship members of the speaker's matriline are placed on the left side of the speaker's body and those of the patriline are placed on their right side, when they are mentioned in speech. Moreover, we find that the gesture produced by Paamese participants during verbal descriptions of marital relations are performed significantly more often on two diagonal directions of the sagittal axis. We show that these diagonals are also found in the few diagrams that participants drew on the ground to augment their verbo-gestural descriptions of marriage practices with drawing. We interpret this behavior as evidence of a spatial template, which Paamese speakers activate to think and communicate about family relations. We therefore argue that extending investigations of kinship structures beyond kinship terminologies alone can unveil additional key factors that shape kinship cognition and communication and hereby provide further insights into the diversity of social structures., (© 2024 The Author(s). Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Aims: To describe the development and report the first-stage validation of a digital version of the digit symbol substitution test (DSST), for assessment of cognitive function in older people with diabetes., Materials and Methods: A multidisciplinary team of experts was convened to conceptualize and build a digital version of the DSST and develop a machine-learning (ML) algorithm to analyse the inputs. One hundred individuals with type 2 diabetes (aged ≥ 60 years) were invited to participate in a one-time meeting in which both the digital and the pencil-and-paper (P&P) versions of the DSST were administered. Information pertaining to demographics, laboratory measurements, and diabetes indices was collected. The correlation between the digital and P&P versions of the test was determined. Additionally, as part of the validation process, the performance of the digital version in people with and without known risk factors for cognitive impairment was analysed., Results: The ML model yielded an overall accuracy of 89.1%. A strong correlation was found between the P&P and digital versions (r = 0.76, p < 0.001) of the DSST, as well as between the ML model and the manual reading of the digital DSST (r = 0.99, p < 0.001)., Conclusions: This study describes the development of and provides first-stage validation data for a newly developed digital cognitive assessment tool that may be used for screening and surveillance of cognitive function in older people with diabetes. More studies are needed to further validate this tool, especially when self-administered and in different clinical settings., (© 2024 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta‐analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use of mobile technology in primary and secondary education has increased tremendously, and numerous empirical studies have been conducted on this topic, but their conclusions were inconsistent. Objectives: The purpose of this systematic review is to re‐examine this issue by meta‐analyzing the empirical research studies from the last nine years, with a focus on cognitive, affective, and behavioral learning outcomes in primary and secondary education, and to examine the potential moderators that may have contributed to the heterogeneity across findings. Methods: Based on our inclusion and exclusion criteria, we found 85 studies of 78 peer‐reviewed papers (N = 9157) from electronic databases and major journals in educational technology and mobile learning between 2014 and 2022. We then examined 15 moderators that were expected to affect student learning outcomes. Results and Conclusions: Compared with traditional technology and non‐technology groups, using mobile technology produced medium positive and statistically significant effects on primary and secondary students' learning, in terms of cognitive (g = 0.498, 95% CI [0.382, 0.614]), affective (g = 0.449, 95% CI [0.301, 0.598]) and behavioural (g = 0.339, 95% CI [0.051, 0.627]) learning outcomes. Further moderator analyses revealed that student factors (i.e., community type, students' socioeconomic status), learning process (i.e., hardware used, student‐to‐hardware ratio, teaching method) and study quality (i.e., learning topic/content equivalence, degree of technology use in the control group) were among the variables that moderated the summary effect sizes for at least one learning outcome dimension significantly. The findings and their implications for researchers, policymakers and practitioners are discussed. Lay Description: What is already known about this topic: Mobile learning has become a fast‐growing research field.The benefits of mobile technology usage are related to learning outcomes.The pooled effects of mobile learning have been limited to cognitive learning. What this paper adds: This meta‐analysis focused on mobile learning versus traditional learning.The population was composed of students in primary and secondary education.Mobile technology usage contributed to higher cognitive, affective, and behavioural learning outcomes.Students from low socioeconomic backgrounds and rural areas benefited less from mobile technology interventions. Implications for practice and/or policy: Educational stakeholders need to take actions to adopt and support mobile technology usage in education.Mobile‐learning researchers need to optimize the quality of experimental studies. [ABSTRACT FROM AUTHOR]

Background: A recent meta‐analysis suggested that the majority of young people in contact with the criminal justice system have cognitive and/or communication impairments. Over the past 20 years, recognition of these complex needs has resulted in support measures being put in place in courtrooms across the globe. It is therefore timely to review evidence for the efficacy of these measures. Aims: This scoping review evaluates evidence on support measures employed to facilitate access to court proceedings for individuals with cognition and communication impairments, and considers how this evidence might inform future research and practice. Methods: Research databases were searched for studies that: directly or indirectly involved a population with a form of functional impairment and/or diagnosed neurodevelopmental disorder; and refer to support delivered to remove barriers or support access to courtroom processes. Results: Searches identified 3,318 distinct articles. Following review, 37 papers were identified for inclusion. The papers were published between 1993 and 2019, with the majority being published since 2010 (n = 23). The majority of papers were from the United Kingdom (n = 26); other countries represented were Australia (n = 1), Canada (n = 3), New Zealand (n = 2), UK papers don't necessarily state which countries involved (n = 2) Scotland specifically state Scotland only and the United States (n = 3). No papers met the criteria for an experimental research design. Conclusions: Whilst the high level of need in this population is well established, which support measures are most effective in enabling engagement in court processes is not currently clear. More robust evaluative research is therefore required to establish the most effective methods of support. Despite this lack of evidence regarding outcomes, both young people and professionals generally view support measures favourably. There is an increasing onus on professionals to adapt their practice rather than to support/enhance the cognition and communication skills of young people. [ABSTRACT FROM AUTHOR]

Aim: In order to understand the different processes and mechanisms of cognitive function and resveratrol (RES) as an active participant in pathophysiological events that affect cognitive function. Methods: First, the Web of Science (core collection) was selected as the data source. To ensure the comprehensiveness and accuracy of the search data, the index was selected as "SCI‐EXPANDED", and the search formula was TS = resveratrol AND TS = ("cognitive" OR "memory" OR "cognition" OR "mood"). Next, details of authors, keywords, journals, countries, institutions, references, and more were analyzed by CiteSpace and VOSviewer software. Finally, we explored the mechanism by which RES could improve cognitive impairment, that involves healthy young adults, healthy elderly, post‐menopausal women, and diseases involving Alzheimer's disease (AD), diabetes‐related cognitive impairment, mental illness, post‐stroke cognitive impairment, and neonatal hypoxic–ischemic injury. Results: 287 valid papers were obtained. The scientometric results demonstrated 287 papers used in this study came from 1601 authors from 443 organizations in 38 countries, published in 169 journals, and cited 13,680 literatures from 2431 journals. Depression, AD, cerebral ischemia, diabetic cognitive impairment, and cognitive function in the elderly are all keywords of the co‐occurrence network. Conclusion: This study supports the hypothesis that chronic RES intake may positively affect brain function. But it has become challenging to determine the optimal dose, time and duration of RES and improve the bioavailability of RES, which many researchers need to overcome. [ABSTRACT FROM AUTHOR]

In adults, spatial location plays a special role in visual object processing. People are more likely to judge two sequentially presented objects as being identical when they appear in the same location compared to in different locations (a phenomenon referred to as Spatial Congruency Bias [SCB]). However, no comparable Identity Congruency Bias (ICB) is found, suggesting an asymmetric location-identity relationship in object binding. What gives rise to this asymmetric congruency bias? This paper considered two possible hypotheses. Hypothesis 1 suggests that the asymmetric congruency bias results from an inherently special role of location in the visual system. In contrast, Hypothesis 2 suggests that the asymmetric congruency bias is a product of development, reflecting people's experience with the world. To distinguish the two hypotheses, we tested both adults' and 5-year-old children's SCB and ICB by Identity Judgment Experiments and Spatial Judgment Experiments, respectively. The study found that adults only exhibited a SCB, but no ICB. However, young children exhibited both SCB and ICB, suggesting a symmetric congruency bias and reciprocal influences between location and identity in early development. The results indicate that the asymmetric location-identity relationship develops as object identity's influence on location gets pruned away, while location's influence on identity is preserved, possibly due to people's gained experiences with regularities of the world. RESEARCH HIGHLIGHTS: Adults exhibit Spatial Congruency Bias-an asymmetric location-identity relationship with location biasing their judgment of object identities, but not vice versa. Asymmetric congruency bias may result from an inherently special role of location in visual system (Hypothesis 1) or accumulated experiences with the world (Hypothesis 2). To distinguish the two hypotheses, the study investigated the Spatial Congruency Bias and Identity Congruency Bias in both adults and 5-year-old children. Unlike adults who exhibited only Spatial Congruency Bias, 5-year-old children exhibited both Spatial Congruency Bias and Identity Congruency Bias., (© 2024 The Authors. Developmental Science published by John Wiley & Sons Ltd.)

There are three main types of number used in modern, industrialized societies. Cardinals count sets (e.g., people, objects) and quantify elements of conventional scales (e.g., money, distance), ordinals index positions in ordered sequences (e.g., years, pages), and nominals serve as unique identifiers (e.g., telephone numbers, player numbers). Many studies that have cited number frequencies in support of claims about numerical cognition and mathematical cognition hinge on the assumption that most numbers analyzed are cardinal. This paper is the first to investigate the relative frequencies of different number types, presenting a corpus analysis of morphologically unmarked numbers (not, e.g., "eighth" or "21st") in which we manually annotated 3,600 concordances in the Corpus of Contemporary American English. Overall, cardinals are dominant-both pure cardinals (sets) and measurements (scales)-except in the range 1,000-10,000, which is dominated by ordinal years, like 1996 and 2004. Ordinals occur less often overall, and nominals even less so. Only for cardinals do round numbers, associated with approximation, dominate overall and increase with magnitude. In comparison with other registers, academic writing contains a lower proportion of measurements as well as a higher proportion of ordinals and, to some extent, nominals. In writing, pure cardinals and measurements are usually represented as number words, but measurements-especially larger, unround ones-are more likely to be numerals. Ordinals and nominals are mostly represented as numerals. Altogether, this paper reveals how numbers are used in American English, establishing an initial baseline for any analyses of number frequencies and shedding new light on the cognitive and psychological study of number., (© 2024 The Author(s). Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Background: In example‐based learning, examples are often combined with generative activities, such as comparative self‐explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self‐explanations. While static text‐based examples can be compared easily, this is challenging for transient video‐based modelling examples used in complex domains because simultaneous processing of two videos is not feasible. Objectives: To allow for such comparisons, we combined video‐based modelling examples with static representations (i.e., summarizing tables) of the observed optimal and a suboptimal solution of the problem‐solving process. A comparative self‐explanation prompt asked learners to compare the different solution approaches. Our study investigated the impact of video‐based modelling examples versus independent problem‐solving on cognitive load and problem‐solving skill development. Moreover, we investigated the effects of comparative versus sequential self‐explanation prompts, depending on learners' prior knowledge. Methods: In an experiment, 118 automotive apprentices learned a car malfunction diagnosis strategy. Apprentices were divided into three groups: (1) modelling examples with comparative self‐explanation prompts, (2) modelling examples with sequential prompts, and (3) no examples or prompts. Diagnostic knowledge and skills were assessed before and after the intervention. Cognitive load was measured retrospectively. Results and conclusions: Despite no observed effects on cognitive load, modelling examples enhanced diagnostic knowledge and diagnostic skills with scaffolds, though not independent diagnostic skills without scaffolds. The need for more practice opportunities to foster independent diagnostic skills is assumed. Additionally, comparative prompts seem promising for learners with higher prior knowledge. Takeaways: Video‐based modelling examples were more beneficial for learning than practising to apply the diagnostic strategy. Static representations allow for comparisons of video examples and comparative prompts are promising for learners with higher prior knowledge (cf. expertise‐reversal effect). Further research, especially on the effects on cognitive load, is necessary. Lay Description: What is already known about the topic?: Text and video examples that model how to solve a problem are widely used in education.Text examples often include self‐explanation prompts that ask learners to compare several examples.For video examples, such comparison prompts have seldom been investigated, because comparisons are difficult to implement for transient videos. What does this paper add?: This paper shows that video examples combined with static summaries of processes that have been shown in the video example are effective and allow for comparisons of video examples.Such comparisons seem to be more promising for learners with higher prior knowledge. Implications for practice: Practitioners could combine video examples with static summaries of the processes shown in the video examples to allow for comparisons. [ABSTRACT FROM AUTHOR]

Background: This paper examines the use of augmented reality (AR) as a concept‐association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR‐enriched learning, with some reporting reduced load and others indicating increased demand and poorer performance. Understanding these implications is essential for effectively leveraging AR in education. The study offers a fresh perspective on the potential of AR technology in improving educational experiences. Objectives: The primary goal of this research was to evaluate the effectiveness of an AR‐assisted concept‐association strategy for improving essential knowledge acquisition and skills outcomes, increasing cognitive load, and increasing self‐efficacy and learning motivation among primary school students. Methods: A quasi‐experimental design with a control group was employed to investigate the effectiveness of the intervention. Results and Conclusions: The results demonstrate that the implementation of the AR‐assisted concept‐association strategy effectively enhanced essential knowledge acquisition and skills outcomes, increased cognitive load, and increased self‐efficacy and learning motivation among primary school students. These findings highlight the potential of AR technology to improve the learning experience and engagement of primary school students. The study contributes to the existing literature on the effectiveness of AR technology in education, suggesting future research directions. Ultimately, it offers a practical solution for improving the learning experience by presenting a new approach for teaching using AR technology. Lay Description: What is currently known about this topic: Augmented reality (AR) technology has been increasingly explored in educational settings.Previous research has shown that AR can enhance learning outcomes and engagement among students.AR applications have the potential to serve as concept‐association tools to improve the learning experience. What this paper adds: This paper investigates the effectiveness of using an AR application as a mobile concept‐association tool in school settings.The study demonstrates that the AR‐assisted concept‐association strategy effectively enhances knowledge acquisition, skills outcomes, cognitive load, self‐efficacy, and learning motivation among primary school students.The findings highlight the potential of AR technology in improving learning experiences and engagement for primary school students.The study offers practical implications for integrating AR technology into educational settings, and suggests avenues for future research in this area. Implications for practice and/or policy: Incorporating AR applications as concept‐association tools can enhance learning outcomes and engagement in primary school settings.AR technology can be used to increase cognitive load, and to increase self‐efficacy and motivation among students.Educators and policymakers should consider integrating AR technology into teaching practices to improve the overall learning experience.Future research and exploration should be conducted to understand the full potential and limitations of AR technology in education. [ABSTRACT FROM AUTHOR]

Background: Both socially regulated learning and cognitive quality are important factors affecting collaborative knowledge building, but the current research lacks a joint quantified evaluation method that combines these two aspects. Objectives: Based on the existing framework, we proposed a joint evaluation method for regulated learning and cognitive quality in collaborative knowledge building, and further extracted the evaluation indicators. Methods: This study involved 74 learners enrolled in a course named 'the Application of Modern Educational Technology' as the subject of study, and made a case analysis with this method. Results and Conclusions: First, the indicators of this joint evaluation method could complement the indicators of traditional frequency statistics methods and facilitate an analysis of regulated learning and cognitive quality in collaborative knowledge building. Second, the group with a higher proportion of high‐level cognitive quality and socially shared regulation in collaborative knowledge building achieved better final scores. Finally, four types of groups were obtained through clustering: excellent, risky, mixed group, and highly collaborative group. This study introduced a joint evaluation method for regulated learning and cognitive quality in collaborative knowledge building and provides suggestions for future research. Lay Description: What is currently known about this topic?: Online collaborative knowledge building is increasingly important.Regulated learning and cognitive quality are considered very important for successful collaborative learning.Without quantitative methods, it is difficult to assess regulated learning and cognitive quality during collaborative knowledge building in a timely manner. What does this paper add?: This paper provided a joint evaluation method of regulated learning and cognitive quality (JERC) for online collaborative knowledge building.A case study was conducted to identify JERC's usefulness. Using descriptive statistics and visualization, it was determined that indicators of JERC can not only capture the state of cognitive quality and regulated learning status, but also elucidate the nature of that status (i.e., comprehensive, dynamic, cyclical).Through clustering analysis, four distinct groups were identified, each exhibiting different characteristics and moving patterns of regulated learning and cognitive quality over time. These patterns indicate that the quality of cognitive and regulatory learning cannot be determined solely by behavioural frequency. Moreover, an excessive proportion of individual regulation cannot predict better learning performance. Implications for practice: A computable representation model of regulated learning and cognitive quality was constructed to support automated perception and intervention in regulated learning and cognitive processing.With JERC, it is possible for researchers to capture, process, analyse and predict dynamic data to examine online collaborative knowledge building combined with shared physiological arousal events.The results of JERC can be used by researchers to develop advanced techniques, such as AI deep learning, for designing adaptive supports that can foster students' online collaborative knowledge building. [ABSTRACT FROM AUTHOR]

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable a thorough understanding of trace‐based learner profiles, this paper presents and evaluates a comprehensive approach to analysis of learners' self‐reports, which extends conventional statistical methods with psychological networks analysis. Methods: The study context is a massive open online course (MOOC) aimed at promoting physical activity (PA) for health. Learners' (N = 497) perceptions related to PA, as well as their self‐efficacy and intentions to increase the level of PA were collected before and after the MOOC, while their interactions with the course were logged as digital traces. Learner profiles derived from trace data were further examined and interpreted through a combined use of conventional statistical methods and psychological networks analysis. Results and Conclusions: The inclusion of psychological networks in the analysis of learners' self‐reports collected before the start of the MOOC offers better understanding of trace‐based learner profiles, compared to the conventional statistical analysis only. Likewise, the combined use of conventional statistical methods and psychological networks in the analysis of learners' self‐reports before and after the MOOC provided more comprehensive insights about changes in the constructs measured in each learner profile. Major Takeaways: The combined use of conventional statistical methods and psychological networks presented in this paper sets a path for a comprehensive analysis of survey data. The insights it offers complement the information about learner profiles derived from trace data, thus allowing for a more thorough understanding of learners' course engagement than any individual method or data source would allow. Lay Description: What is already known about this topic: Researchers have made extensive use of data from online learning platforms—often referred to as learning trace data—to understand how learners engage in online learning activities.Surveys are often used to gather information about learners' motivation, perceptions, and other internal factors, to complement the insight gleaned from learning traces and thus create a more complete picture of the learning behaviour.When analysing survey data, the focus is usually on individual factors without considering how different factors are connected and affect one another.Psychological networks analysis is a novel analytic approach to studying complex phenomena both in psychology and education. What this paper adds: The paper uses psychological networks as a method for examining mutual relations among learners' internal factors (e.g., motivation, perceptions) measured through self‐reports before and after a course.By combining conventional statistical analysis of self‐reports with psychological networks analysis, the paper develops a comprehensive picture of learners' internal factors measured through self‐reports, one that accounts for both individual and interconnected nature of those factors.This comprehensive approach to information extraction from surveys allows for better understanding of trace‐based learner profiles, that is, profiles mined from data about learners' interaction with online learning activities. Implications for practice and/or policy: The presented method paves a way for a comprehensive analysis of the data collected from learners through surveys.It helps us gain a better understanding of learners' engagement with online learning activities.It can advance the evaluation of digital educational programs that aim to encourage changes in health‐related behaviour. [ABSTRACT FROM AUTHOR]

Background: Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are underexplored. Objectives: This study investigated patterns in students' use of annotation and response behaviours in social annotation activities. We also explored how students' performance in the behavioural, cognitive, emotional, and social dimensions varied based on their behavioural patterns. Methods: We recruited 93 undergraduates who were enrolled in an elective course at a large North American University. Students were tasked with collaboratively annotating the class readings uploaded to Perusall, a social annotation platform, over 7 weeks. We used metaclustering to determine the optimal number of clusters pertaining to student behaviours. We compared the differences among clusters across multiple performance dimensions. Results and Conclusions: Two distinct clusters were identified and defined as initiators and responders. We found that responders had significantly longer active reading time and exhibited greater social annotation effort compared to initiators. However, initiators received more peer acknowledgement, as evidenced by higher upvotes. No significant difference was found in cognitive insight between initiators and responders, but responders demonstrated significantly higher cognitive discrepancy. Additionally, there were no significant differences in positive and negative tones between initiators and responders; however, responders displayed higher levels of prosocial behaviours than initiators. This study has significant practical implications regarding promoting students' collaborative learning experience in social annotation. Lay Description: What is already known about this topic: Annotation and response behaviours are two primary actions in social annotation.Understanding how students navigate through annotations and respond to their peers' contributions is essential for optimizing their learning experience.Social annotation outcomes can be assessed in the behavioural, cognitive, emotional, and social dimensions. What this paper adds: This paper revealed students' behavioural patterns in social annotation activities.This study offered a comprehensive understanding of the various dimensions of performance among students with different behavioural tendencies. Implications for practice and/or policy: The two student clusters, initiators and responders, revealed distinct engagement patterns in social annotation and informed the design of targeted scaffoldings.Responders were not passive learners since they demonstrated significantly longer active reading time, greater social annotation effort, and higher level of prosocial behaviours.Educators might not need to place significant emphasis on monitoring participants' emotional expressions in social annotation.Social annotation platforms should incorporate features that encourage and reward both initiation and response behaviours. [ABSTRACT FROM AUTHOR]