Search

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.)

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).)

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.)

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]

Learning with games requires two types of information, namely domain‐specific information and game‐specific information. Presenting these two types of information together with gameplay may pose a heavy demand on cognitive resources. This study investigates how timing of information presentation affects cognition (ie, mental effort and performance), motivation (ie, achievement goals) and emotion (ie, achievement emotions). Participants were secondary school students (N = 145). Participants participated in a 2 × 2 factorial experiment with two factors—timing of domain‐specific information presentation and timing of game‐specific information presentation, either before or during gameplay. We measured mental effort, chemistry knowledge, time on task, achievement goals and achievement emotions. Multiple regression and robust regression revealed that presenting domain‐specific information before gameplay promoted higher approach goals, higher avoidance goals and more enjoyment than presenting it during gameplay. There was no difference between presenting game‐specific information before gameplay and during gameplay except for performance‐avoidance goals. We conclude that timing of information presentation affects motivational and emotional processes and outcomes and that students feel more motivated and enjoyed when domain‐specific information is presented before learning than during learning. Educators may change the timing of domain‐specific information presentation accordingly. Practitioner notes What is already known about this topic Well‐designed game‐based learning can increase learning. Game‐based learning needs effective instructional design features. What this paper adds One instructional design feature, timing of information presentation, affects motivation and emotion in game‐based learning. Students feel more motivated and enjoyed when domain‐specific information is presented before learning than during learning. This study is one of the first to focus on cognitive, motivational and emotional processes and outcomes, and their interconnections. Implications for practice and policy Educators would do well to present domain‐specific information before learning than during learning. Researchers on instructional design features should attend to all cognitive, motivational and emotional processes and outcomes instead of just one or two. What is already known about this topic Well‐designed game‐based learning can increase learning. Game‐based learning needs effective instructional design features. What this paper adds One instructional design feature, timing of information presentation, affects motivation and emotion in game‐based learning. Students feel more motivated and enjoyed when domain‐specific information is presented before learning than during learning. This study is one of the first to focus on cognitive, motivational and emotional processes and outcomes, and their interconnections. Implications for practice and policy Educators would do well to present domain‐specific information before learning than during learning. Researchers on instructional design features should attend to all cognitive, motivational and emotional processes and outcomes instead of just one or two. [ABSTRACT FROM AUTHOR]

Objective: Suicide rates in older adults are often the highest of any age group, particularly among high income countries. However, there is a limited understanding of the factors that could protect against suicidality in older age. This systematic review aimed to identify and evaluate the psychological factors that protect against suicidality in older age. Method: An a priori protocol was established and registered on PROSPERO (CRD42022343694). EMBASE, MEDLINE, PsycINFO, Web of Science and Scopus were searched. Papers were quality assessed using the Quality Assessment with Diverse Studies (QuADSs) tool. The Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines were followed. Seventeen papers were included and narratively synthesised. Results: The initial searches identified 10,673 records, resulting in the screening of 5441 records after the removal of duplicates. The protective factors identified were (1) meaning/purpose in life, (2) reasons for living, (3) coping styles, (4) psychological wellbeing, (5) life satisfaction, (6) personality factors, (7) cognitive functioning, and (8) sense of belonging. The factors with the most empirical support were meaning in life, followed by psychological wellbeing and coping responses, such as primary control strategies, and personality traits, such as positive affect and agency. There was also evidence to suggest that the influence of some protective factors, for example meaning in life, may depend upon stage in older life and gender. Conclusion: This review identified several psychological factors that have been found to protect against suicidal ideation in older adults, representing potential treatment targets for reducing suicide in older adults. Recommendations for future research includes greater use of longitudinal and case–control designs, measuring outcomes across the continuum of suicidality and using samples that allow comparison between younger and older adults and within the spectrum of old age. [ABSTRACT FROM AUTHOR]

Background: Early language delay is exacerbated by social disadvantage. Factors such as parents' low levels of literacy, confidence and self‐perception can affect the capacity to act on advice received, critical to empowerment. Methods used to achieve successful health outcomes in socially disadvantaged clinical populations may need enhancing. Aims: To compare the impact of standard parent‐based intervention (PBI) to enhanced PBI for young children with speech, language and communication needs (SCLN) and their families living in more socially disadvantaged populations. Methods and Procedures: A multicentre clustered blind randomised controlled trial was used to compare the effect of parent‐based group interventions to improve early language development with children (mean age 27.5 months) from more socially disadvantaged populations with an expressive vocabulary of 40 or less single words. Intervention sessions were delivered by a speech and language therapist, over a 20‐week period. Participants received one of two interventions: (1) Standard Care – indirect group PBI – (PBI) (2) Enhanced Care: indirect group enhanced PBI – (EPBI). Both standardised and non‐standardised measures were used as outcomes. Parent engagement in the intervention was captured through analysis of attendance and the Parent Activation Measure – Speech & Language Therapy (PAM‐SLT) (Insignia Health, 2014). The PAM measures a person's knowledge, skills and confidence to manage their own health and well‐being (NHS England, 2018). In this study, activation referred to parents' knowledge, skills and confidence to manage their child's language development. Outcomes and Results: One hundred fifty‐five participants were randomised at baseline. Children in both groups made significant improvements in the outcome on MacArthur‐Bates Communicative Development Inventories Sentence Length, from pre‐intervention to post‐intervention and 6 months post‐intervention (p < 0.05). Changes in vocabulary and expressive language skills were more equivocal, showing wide variation in confidence intervals for both groups. Where parents attended at least one intervention session almost all effect sizes were in favour of the EPBI intervention. Parents' activation levels significantly increased for both groups (EPBI p < 0.001, PBI p = 0.003), with a moderate effect size in favour of EPBI (Hedges' G 0.37, confidence interval –0.02 to 0.76), although wide variation was found. Conclusions and Implications: This trial provides some evidence of facilitating the language development of children with SLCN from more socially disadvantaged areas through supporting caregivers. However, we found variation in outcomes; some children made excellent progress, whilst others did not. Further exploration of parent engagement and its relationship to child language outcomes will be valuable to understanding more about mechanisms of change in interventions that involve parents. WHAT THIS PAPER ADDS: What is already known on the subject: Speech, language and communication needs (SLCN) have a knock‐on effect on emotional well‐being, school readiness, literacy and school attainment, putting children at increased risk of long‐term consequences such as poor literacy, mental health problems and unemployment. In disadvantaged areas, the prevalence of language difficulties is higher than elsewhere. Factors such as parents' low levels of literacy, confidence and self‐perception can affect the capacity to act on advice received, critical to empowerment. What this paper adds to existing knowledge: Children with SLCN from more socially disadvantaged areas can make improvements in their language development through parent intervention, although wide individual variation was found. There was some evidence that children achieve better outcomes with EPBI, which employed an interagency collaborative approach. Parent's engagement (activation levels) increased significantly over time with intervention, with the increase twice as big for EPBI. What are the potential or actual clinical implications of this work?: This trial provides some evidence that it is possible to facilitate the language development of children from more socially disadvantaged areas through supporting their caregivers. Further research would be useful to determine whether increases in parent engagement are related to adherence to intervention and change in child outcomes. [ABSTRACT FROM AUTHOR]

Background: Endovascular clot retrieval (ECR) is known to reduce global disability at 3 months post stroke however limited research exists regarding the trajectory of specific clinical impairments including language, swallowing and cognitive deficits between onset and 3 months. Aims: To assess language, swallowing, and cognitive performance following ECR and explore whether impairment severity is correlated with modified Thrombolysis in Cerebral Infarction score (mTICI), stroke severity or quality of life (QoL). Methods: Assessment was completed within 7 days (T1), 1 month (T2) and 3 months (T3) post‐stroke. Performance was measured with the Functional Oral Intake Scale (FOIS), Repeatable Battery for Assessment of Neuropsychological Status (RBANS), Trail Making Test (TMT A and B) and Brixton Spatial Awareness Test. The Western Aphasia Battery (WAB) was used for left hemisphere stroke. QoL was measured with the Stroke and Aphasia Quality of Life Scale. Results: Twenty‐five participants (median 72 years; 64% male) were prospectively recruited following ECR. High reperfusion success (68% mTICI 3) and low stroke severity post ECR (median 24 h NIHSS = 3, IQR 7–18) were noted. At T1, 10 participants presented with aphasia, eight required a modified diet and 20 had impaired cognition. At T3 all had recovered to a normal oral diet, 39% had persistent cognitive impairment and 45% of patients with left hemisphere stroke remained aphasic. Performance on the WAB, FOIS, RBANS and TMT changed significantly over time (all p < 0.05). The severity score at T1 for all measures, excluding TMT B and Brixton, was significantly correlated with 24 h NIHSS. WAB scores at T3 were correlated with QoL (r = 0.618; p = 0.043). Conclusion: This exploratory study found the longitudinal performance of language, swallowing and cognition significantly improved over time and severity in the first‐week post‐ECR was correlated with 24 h NIHSS rather than the degree of reperfusion. WHAT THIS PAPER ADDS: What is already known on the subject: Randomised control trials have demonstrated the benefit of ECR in patients with ischemic stroke using global measures of disability and function. Limited research exists regarding the trajectory of specific clinical impairments including language, swallowing and cognitive deficits. There is also a reliance on screening assessments and a lack of consideration of the influence of co‐occurring impairments. What this paper adds to existing knowledge: This prospective study is amongst the first to explore the longitudinal trajectory of language, swallowing and cognitive impairment using a standardised assessment battery. Twenty‐four‐hour NIHSS was significantly correlated with language, swallowing, global cognition and some measures of executive function. Language performance post ECR was correlated with domain‐specific cognitive assessment of attention, immediate memory and delayed memory, which differed from swallowing performance post ECR that correlated with measures of executive function. What are the potential or actual clinical implications of this work?: It is important for speech‐language pathologists and the wider medical team to monitor language, swallowing and cognitive performance post ECR regardless of treatment success. Stroke severity at 24 h post‐ECR influences the severity of language, swallowing and cognitive impairments. [ABSTRACT FROM AUTHOR]

Background: A practical test that measures the information and communication technology (ICT) skills students need for effectively using ICT in primary education has yet to be developed (Oh et al., 2021). This paper reports on the development, validation, and reliability of a test measuring primary school students' ICT skills required for effectively using ICT (the ECC‐ICT test). Objectives: Based on existing literature, three ICT use domains were identified for effectively using ICT: Effective, collaborative, and creativeuse of ICT. For these three domains, 24 corresponding teaching objectives were identified from a widely used digital literacy framework. Thirty‐four test items cover these teaching objectives in an online test. Methods: A mixed‐method approach was used for the ECC‐ICT test. Four pilot rounds (n=25) implemented qualitative interviews for cognitive validity and refining the test items, followed by a qualitative usability study(n=6). Confirmatory factor analysis and ANOVA provided quantitative insight into the large‐scale test administration(n=575). Results and Conclusions: Composite reliability of our conceptual 3‐factor confirmatory model showed that the test reliably measured primary school effective use of ICT (ω = 0.82), collaborative use of ICT (ω = 0.80) and creative use of ICT (ω = 0.64). Convergent validity (ranging from 0.41 to 0.46) was acceptable. Internal consistency (ranging from 0.84 to 0.91) and discriminant validity (HTMT values below 0.90) are good. ANOVA results show that mean test scores are higher for students in higher grade levels (p < 0.001). The post hoc Bonferroni results show that most grade‐by‐grade comparisons are significant (p < 0.001). Lay Description: What is already known about this topic: Information and communication technology (ICT) skills are finding their way into national curriculums as teachers implement more digital learning environments.Teachers currently do not have a measurement instrument for the ICT skills primary education students need to learn in a personalised way. What this paper adds: This paper gives teachers a test that reliably measures the effective, collaborative, and creative ICT skills required for primary school students to learn using ICT.To our knowledge, this test is the first of its kind.Al materials to reproduce the test are available digitally for teachers. The implications of study findings for practitioners: For policy, this test can be used to check if a student is ready to use ICT in a self‐regulated setting.With this test, teachers can assess and support students' growth on the effective, collaborative, and creative ICT skills required for primary school students using ICT. [ABSTRACT FROM AUTHOR]

This is a protocol for a Cochrane Review. The objectives are as follows. This paper aims to describe a protocol for a systematic review that will synthesise the qualitative evidence regarding factors influencing the implementation of non‐pharmacological interventions (NPIs) for behavioural and psychological symptoms of dementia (BPSD) management in residential aged care homes (RACHs). The planned systematic review aims to answer the research question: 'What are the factors influencing the implementation of NPIs in the management of BPSD at RACHs?'. Additionally, the planned systematic review also aims to generate recommendations to guide stakeholders (e.g., clinicians and aged care staff) and policymakers in the implementation of NPIs for managing BPSD at RACHs. [ABSTRACT FROM AUTHOR]

The potential of the low carbon city pilot (LCCP) to foster enterprise green technology innovation (EGTI) is contingent upon enhancing the quality of urban development, improving the ecological environment, and ultimately achieving the objective of "double carbon" reduction. Due to this, this article uses data from Chinese A‐share listed businesses in Shanghai and Shenzhen from 2009 to 2021 to investigate the effect of LCCP on EGTI. It is found that LCCP significantly contributes to EGTI, and a number of robustness tests later, this finding remains valid. The mechanism analysis confirms that LCCP promotes EGTI by weakening economic policy uncertainty and increasing firms' R&D investment. Through the heterogeneity analysis, this paper explores that optimizing corporate staff structure, increasing media attention, and increasing government subsidies are effective paths to promote EGTI development with LCCP. The moderating effect confirms that executives' environmental cognition plays a positive moderating role between LCCP and EGTI. This paper enriches the related research on the evaluation of the effect of low‐carbon pilots and provides important policy insights for promoting the development of corporate green transformation. [ABSTRACT FROM AUTHOR]

Like information science more broadly, search engine research has largely been fragmented into two factions: system‐oriented and user‐oriented studies. This limits our capacity for answering some fundamental questions surrounding an integral—often invisible—part of modern life. Given the "search‐ification" of this life, given an oligopolous global market and an information‐wealthy but attention‐poor audience, methods capable of studying search engines, as well as their relationship with users and society are increasingly necessary. This paper proposes critical discourse analysis (CDA) as an effectual, oft‐overlooked method for search engine research, one capable of interrogating both search engines and their use. The paper outlines CDA, provides examples of its application, and highlights its capacity for progressing our critical understanding of search engines. This developing understanding, evidenced by a review of the literature, suggests that challenges brought by search cannot be resolved by critiquing the power of systems alone. Rather, a reclaiming of today's information infrastructure requires we also illuminate the socio‐political environments of search systems, and the metacognitive, invisible processes pivotal to our communication with them. While power‐analyses of search continue, and some have begun to employ CDA, little recognition exists of this theoretical perspective's capacity for supporting both system‐oriented and user‐oriented studies. [ABSTRACT FROM AUTHOR]

To introduce our special issue How Minds Work: The Collective in the Individual, we propose "radical CI," a form of collective intelligence, as a new paradigm for cognitive science. Radical CI posits that the representations and processes necessary to perform the cognitive functions that humans perform are collective entities, not encapsulated by any individual. To explain cognitive performance, it appeals to the distribution of cognitive labor on the assumption that the human project runs on countless interactions between locally acting individuals with specialized skills that each retain a small part of the relevant information. Some of the papers in the special issue appeal to radical CI to account for a variety of cognitive phenomena including memory performance, metacognition, belief updating, reasoning, and problem‐solving. Other papers focus on the cultural and institutional practices that make radical CI possible. The notion that cognition is collective has a long pedigree but is enjoying considerable attention in the cognitive sciences as multiple fields of study deliver evidence for the central role of community and culture in cognition. To introduce the special issue of topiCS surveying this groundswell, we propose the concept of "radical collective intelligence," the view that some of the key representations and processes necessary to perform the cognitive functions that humans perform are collective entities, not encapsulated by any individual. This concept clarifies how the volume's contributions either rethink long‐studied cognitive processes (memory, metacognition, reasoning) or contemplate how radical CI can arise. [ABSTRACT FROM AUTHOR]

The study discusses a new approach to parental agency in pediatric palliative care based on an active form of caregiving. It also explores the possibility of a positive conceptualization of parental agency in its relational context. The paper begins with an illustrative case study based on a clinical situation. This is followed by an analysis of various aspects of parental agency based on empirical studies that disclose the insufficiencies of the traditional approach to parental agency. In the next step, parental agency is analyzed from a reality‐based perspective as an activity focused on relationships and the cognitive capacity of parents vis‐a‐vis their seriously ill children. The paper also considers the importance of the cultural and social contexts in which parental agency and decision‐making take place. This agency is addressed not as individualistic in form, and nor is it exercised in terms of fixed choices. Rather, the focus is on its dynamic and future‐oriented aspects. Consequently, parental agency should be comprehended not only as a form of proxy agency representing the child's best interests but also as a complex decision‐making process in which the parents learn from their child how to become good, compassionate caregivers and at the same time good parents. [ABSTRACT FROM AUTHOR]

Background: Parkinson's disease (PD) can affect social interaction and communication as well as motor and cognitive processes. Speech is affected in PD, as is the control of voluntary eye movements which are thought to play an important role in 'turn taking' in conversation. Aims: This study aimed to measure eye movements during spoken conversation in PD to assess whether differences in patterns of eye gaze are linked to disrupted turn taking and impaired communication efficiency. Methods & Procedure: Eleven participants with mild PD and 14 controls completed a two‐player guessing game. During each 3 min game turn, one of the players had to guess the names of as many objects as possible based only on the other player's description. Eye movements were recorded simultaneously in both participants using mobile eye trackers along with speech onset and offset times. Outcomes & Results: When people with PD played the role of describer, the other player guessed fewer objects compared to when controls described objects. When guessing objects, people with PD performed just as well as controls. Analysis of eye fixations showed that people with PD made longer periods of fixation on the other player's face relative to controls and a lower number of such 'gaze on face' periods. Conclusions & Implications: A combination of oculomotor, cognitive and speech abnormalities may disrupt communication in PD. Better public awareness of oculomotor, speech and other deficits in the condition could improve social connectedness in people with Parkinson's. WHAT THIS PAPER ADDS: What is already known on this subject?: Parkinson's disease is known to affect the control of voluntary eye movements. Direction of eye gaze is important in spoken conversation as a cue to turn‐taking, but no studies have examined whether eye movements are different during communication in people with Parkinson's. What this paper adds to existing knowledge?: People with Parkinson's showed longer periods of eye fixation during conversations compared to controls. Delays and overlaps between speech turns were also affected in patients. What are the clinical implications of this work?: Better knowledge of the effect of the disease on eye gaze control amongst clinicians may help improve communication and social connectedness for patients in the future. [ABSTRACT FROM AUTHOR]

Background: There is a lack of evidence relating to cognitive‐communication difficulties following traumatic brain injury (TBI) sustained in older adulthood. A prominent area in which post‐TBI cognitive‐communication difficulties manifest is at the level of social communication. An investigation of social communication focusing on comparison of those injured in older and younger adulthood is a practical starting point for age‐related cognitive‐communication outcome comparison. Aims: The overall objective of this study was to explore the social communication of individuals who sustained severe TBI in an early period of older adulthood (50–70 years) compared to younger adulthood (18–40 years), as informed by self and close other reports. Methods & Procedures: This exploratory controlled group comparison study involved analysis of self‐reported and close other reported La Trobe Communication Questionnaire data for 22 adults with severe TBI (11 older at injury; 11 younger at injury) and 22 control participants (11 older; 11 younger). TBI participants were matched for injury variables and participant groups were matched for sex, age and education. Outcomes & Results: The close others of the older and younger adults with TBI reported them to have significantly more frequent difficulty with social communication than the close others of age‐matched control groups. Older adults with TBI reported significantly more frequent difficulty with social communication than uninjured older adults. In contrast, younger adults with TBI and uninjured younger adults reported a similar frequency of difficulty with social communication. No age‐based difference in the frequency of social communication difficulty was evident when comparing the self or close other reports of older and younger adults with TBI. Awareness of social communication difficulty, as indexed by comparing self and close other perceptions, showed a different pattern across the TBI groups. The older TBI group rated themselves as having significantly less frequent social communication difficulty than was perceived by their close others. In contrast, no statistically significant difference was evident between the self and close other social communication ratings of the younger TBI group. Conclusions and Implications: Where possible clinicians need to work with close communication partners to understand the nature and degree of social communication difficulty following severe TBI. This may be especially important when working with people who sustain TBI in older adulthood if future research shows that this population have greater difficulty with self‐awareness of social communication difficulty. What this paper adds: What is already known on the subject: Cognitive‐communication difficulties are a common consequence of traumatic brain injury (TBI) that can have long‐term impact on everyday functioning. These challenges have primarily been investigated in individuals who sustained TBI in younger adulthood. What this paper adds to existing knowledge: Individuals who sustain severe TBI in early older adulthood have a higher frequency of reported social communication difficulty to non‐injured adults of a similar age, albeit they may underreport such difficulties potentially in the context of reduced self‐awareness. What are the potential or actual clinical implications of this work?: Social communication difficulty is an issue for people who sustain severe TBI in early older adulthood. However, a poorer overall social communication outcome in comparison to those injured in younger adulthood should not be assumed. Clinical service delivery for these challenges is most optimally delivered in a collaborative manner with the individual and their close others. Future research is required to investigate the identified trends from this study. [ABSTRACT FROM AUTHOR]

Background: People with an acquired brain injury (ABI) find it challenging to use social media due to changes in their cognition and communication skills. Using social media can provide opportunities for positive connection, but there is a lack of interventions specifically designed to support safe and successful social media use after ABI. Aims: To investigate the outcomes of completing a social media skills intervention and identify barriers and facilitators for future implementation. Methods & Procedures: The study used a mixed‐methods, pre‐post‐intervention design. A total of 17 adults with an ABI were recruited. Participants completed an intervention that included a short self‐guided course about social media skills (social‐ABI‐lity course), and then participated in a private, moderated Facebook group over a 12‐week period (social‐ABI‐lity Facebook group). Data were collected over this period through observation of group activity and weekly surveys. They were also collected on social media use and quality of life at pre‐intervention, post‐intervention and after 3 months. Participants provided feedback on the experience of participating in the programme via a post‐intervention interview. Outcomes & Results: At post‐intervention, there were significant improvements in confidence in using Facebook (p = 0.002) and enjoyment of using Facebook to connect with others (p = 0.013). There was no significant change in reported quality of life, although participants described the multiple benefits of connection they perceived from involvement in the group. Observational data and feedback interviews were informative about the feasibility and acceptability of the intervention. Conclusions & Implications: This pilot study provided preliminary evidence that an intervention comprising a short, self‐guided training course and a private, moderated Facebook group improved outcomes for people with ABI. Key recommendations for future implementation include embedding active peer moderators within groups and taking an individualized approach to delivery of the intervention. WHAT THIS PAPER ADDS: What is already known on the subject: Research has documented the challenges that people with ABI experience in using social media, and the difficulty for rehabilitation clinicians in providing appropriate support in this field. What this paper adds to existing knowledge: This pilot study reports the outcomes of people with ABI completing a short, self‐guided social media skills course and participating in a private, moderated Facebook group. After the intervention, participants reported significantly increased confidence and enjoyment in using Facebook, described the benefits of connection found in the groups, and suggested potential improvements for future implementation. What are the potential or actual clinical implications of this work?: With the growing use of social media for connection and participation, there is a professional obligation to address social media communication skills in cognitive–communication rehabilitation for people with ABI. The findings of this study will inform interventions and future research to assist people with ABI to build their social media skills for communication, social support and a sense of connection. [ABSTRACT FROM AUTHOR]

Background: Spoken discourse is commonly affected after traumatic brain injury (TBI). Although guidelines recommend prioritizing discourse‐level skills in cognitive communication management, previous literature has highlighted challenges in managing discourse clinically. Little is known about how speech–language pathologists (SLPs) assess and treat discourse after TBI. Aims: To investigate current SLP practice to determine the alignment of clinical practice with research evidence and recommendations. Methods & Procedures: This online survey consisted of 30 questions on SLPs' practice with discourse assessment, analysis and treatment processes, including the materials and methods used and rationales for decision‐making. Participants were recruited through national and international SLP professional bodies, TBI‐specific or SLP special‐interest groups and social media. Survey responses were analysed using descriptive statistics, with free text included to support individual responses. Outcomes & Results: There were 70 participants, from Australia, the United States, UK and New Zealand. Nearly half the participants had over 11 years of experience working with adults with TBI and a quarter had over 20 years of experience. Participants reported that they regularly evaluated the discourse ability of people with TBI, most commonly during spontaneous conversation or with a personal narrative task. Discourse intervention approaches mostly targeted client self‐monitoring ability, social skills or conversational interactions. Practice varied dependent on setting, with more SLPs in community or outpatient services undertaking discourse assessment and treatment than in hospital settings. Conclusions & Implications: Overall, survey respondents' management of spoken discourse aligned with recommendations in the research literature, incorporating an individualized, goal‐based approach. Factors affecting the use of discourse in practice included client‐specific factors and needs, availability of time for transcription and analysis, and SLPs' knowledge level and confidence with discourse. Increased knowledge of discourse methods and treatment approaches could help inform decision‐making for SLPs working in TBI. WHAT THIS PAPER ADDS: What is already known on this subject: Spoken discourse is one of the most affected areas of communication for people with TBI. Although recent research has provided guidance on assessment and treatment options for TBI discourse, it is unknown how SLPs manage spoken discourse clinically. What this paper adds to existing knowledge: This research adds to the limited research on how SLPs across clinical settings and regions manage discourse assessment and treatment. Respondents' practice was generally aligned with recommendations, featuring individualized, goal‐based practice. Potential barriers to discourse implementation included client factors and SLP knowledge, training, and service delivery factors. What are the potential or actual clinical implications of this work?: This survey provides evidence that clinical translation is starting to occur in this field, but there remains a need for increased knowledge of assessment and treatment methods, training, and TBI‐specific resources to better support SLP practice, particularly relating to transcription. Core reporting outcomes in research on TBI discourse management would assist with translation of the findings to practice. [ABSTRACT FROM AUTHOR]

Background: Meal pattern is a potential health determinant. Previously, mean values for properties of meal pattern, such as daily meal frequency, have been considered. Means, however, obscure variability between‐day (irregular or chaotic eating). This systematic review aimed to identify and critique published methods used to characterise between‐day variability in meal pattern, and to explore relationships between this and obesity, as well as associated health outcomes. Methods: Using relevant databases, a systematic search was undertaken for studies with adults and children in which between‐day variability in meal pattern was measured, and related to body weight, metabolic syndrome components and cognitive function. Results: In 34 papers identified (28 observational and six intervention studies), between‐day variability in meal pattern was characterised by a variety of methods. These ranged from single questions about intake regularity to more complex methods quantifying the degree of variability. Assumptions were made, such as there being three main meals, resulting in dissociation from the "clock time" of eating. In 24 of the papers, between‐day variability in meal pattern was associated with negative weight and health outcomes including higher weight, reduced thermogenic response to meals and poorer academic achievement. Conclusions: Between‐day variability in meal pattern is a promising research area that might inform low‐cost public health interventions. However, current methods of characterising between‐day variability tend to make assumptions and be inconsistent in the meal pattern properties considered. Well controlled dietary intervention studies are required to confirm causation. Highlights: This systematic review summarised the evidence about associations between day‐to‐day variability in meal pattern and body weight, components of the metabolic syndrome and cognitive function.Four databases were used to conduct an electronic search.Thirty‐four studies were included in this systematic review.Observational and intervention studies were included in this review.Studies included participants who were adults and children of healthy weight and living with overweight and obesity.Most studies demonstrated associations between the degree of meal pattern variability and negative health outcomes.However, different methods were used to characterise meal pattern variability. [ABSTRACT FROM AUTHOR]

Background: Vocabulary scores increase until approximately age 65 years and then remain stable or decrease slightly, unlike scores on tests of other cognitive abilities that decline significantly with age. Aims: To review the findings on ageing‐related changes in vocabulary, and to discuss four methodological issues: research design; test type; measurement; and vocabulary ability as a proxy for general intelligence. Main Contribution: A discussion of cross‐sectional and longitudinal research designs shows that cohort membership accounts for some but not all ageing‐related changes in vocabulary, and that drop‐out and test–retest effects do not alter conclusions regarding these changes. Test type affects age trends in vocabulary, and if researchers use only one test, they should choose a multiple‐choice synonym test. While some authors suggest that vocabulary tests do not measure the same underlying ability in younger and older adults, more research of this suggestion is needed. A brief examination of the use of vocabulary ability as a proxy for general intelligence in healthy ageing and for premorbid abilities in dementia indicates that such practice is often questionable. Conclusions: Vocabulary knowledge increases through the mid‐60s regardless of measurement method. However, there is little information on how word knowledge serves other verbal skills in old age, how and when adults learn new words, or how much exposure is necessary for meanings to remain in storage for a lifetime. Research of these issues may require new methodologies, as well as novel theoretical accounts of ageing‐related effects on vocabulary. WHAT THIS PAPER ADDS: What is already known on this subject: Unlike many cognitive abilities that decline with ageing, vocabulary knowledge continues to increase until approximately age 65, and then remains stable or decreases slightly. These findings have been replicated in different research designs and across languages. What this paper adds to existing knowledge: The article presents a summary of findings on changes in vocabulary across adulthood, and a discussion of four key methodological issues: research design, test type, measurement, and the use of vocabulary ability as a proxy for general intelligence. What are the potential or actual clinical implications of this work?: To better understand changes in vocabulary knowledge across adulthood, clinicians must be aware of methodological considerations that affect the field. Such considerations have direct clinical implications regarding the choice of vocabulary tests and their use as a proxy for other abilities in both healthy older adults and in individuals with dementia. [ABSTRACT FROM AUTHOR]

ABSTRACT Working memory is thought to be the psychological capacity that enables us to maintain or manipulate information no longer in our environment for goal‐directed action. Recent work argues that working memory is not a so‐called natural kind and in turn cannot explain the cognitive processes attributed to it. This paper first clarifies the scope of this earlier critique and argues for a pluralist account of working memory. Under this account, working memory is variously realized by many mechanisms that contribute to the maintenance and manipulation of information across tasks. This view in effect updates one of the earliest pluralist formulations of working memory. Juxtaposing this view against deflationary descriptions allows us to delineate two gradients that help us chart various accounts of working memory and identify their respective theoretical commitments. In turn, we can isolate those accounts that fail to accord with the evidence supporting a pluralist view, and we can begin to rehabilitate working memory as a pluralist, and ultimately more informative, construct. [ABSTRACT FROM AUTHOR]

Kantian philosophy describes space as a universal cognitive primitive because all humans contend with attributes of space as they navigate their environments and communicate the location of things or their location in relation to the location of things. These spatial conceptualisations are encoded in human language and their grammars as either prepositions or postpositions, where different cultures and languages conceptualise space differently because of their different environments. It also means that linguistic terms about spatial relations, such as prepositions, contain not only linguistic information but also conceptual information as well as cultural schemas. This paper explores the variations in the use of prepositions in Ghanaian English and argues that such variations, which may contribute to marking off the variety of English spoken in Ghana as a distinct variety, may be motivated by the cultural conceptualisations of relational terms in the primary language(s)/culture(s) of the speakers of Ghanaian English. [ABSTRACT FROM AUTHOR]

Diabetic encephalopathy (DE) is a severe complication that occurs in the central nervous system (CNS) and leads to cognitive impairment. DE involves various pathophysiological processes, and its pathogenesis is still unclear. This review summarised current research on the pathogenesis of diabetic encephalopathy, which involves neuroinflammation, oxidative stress, iron homoeostasis, blood‐brain barrier disruption, altered gut microbiota, insulin resistance, etc. Among these pathological mechanisms, neuroinflammation has been focused on. This paper summarises some of the molecular mechanisms involved in neuroinflammation, including the Mammalian Target of Rapamycin (mTOR), Lipocalin‐2 (LCN‐2), Pyroptosis, Advanced Glycosylation End Products (AGEs), and some common pro‐inflammatory factors. In addition, we discuss recent advances in the study of potential therapeutic targets for the treatment of DE against neuroinflammation. The current research on the pathogenesis of DE is progressing slowly, and more research is needed in the future. Further study of neuroinflammation as a mechanism is conducive to the discovery of more effective treatments for DE in the future. [ABSTRACT FROM AUTHOR]

ABSTRACT Unlike the simplification of individual lines, the generalization of contour clusters oriented to geographical features is a structured generalization behavior that extracts knowledge of geographical features form the perspective of spatial cognition. In decision level, terrain generalization is essentially a similarity transformation between the geomorphic structures corresponding to multi‐scale contour cluster. However, the multi‐scale structural similarity relations are not directly connected with the application of contour generalization. Therefore, this paper presents an automated method for terrain contour structured generalization considering multi‐scale structural similarity. Firstly, a drainage tree structure is constructed from contour lines to establish associations between valley branches and contour bends. Then, the quantitative relationships between multi‐scale structural similarity and map scale changes are explored using an indirect quantitative expression method. Finally, the contour structural generalization is fully automated through iterative optimization principle based on the multi‐scale structural similarity relations. The experiment results demonstrate the rationality and feasibility of fully automating the contour generalization process based on multi‐scale geomorphic structural similarity relations. And the proposed method not only overcomes the challenge of determining “how much to select” in map generalization, but also is valuable for enriching the content of spatial similarity relations and map generalization, thereby providing a theoretical method system and support for the construction of national basic vector databases. [ABSTRACT FROM AUTHOR]

Objectives: Problem adaptation therapy (PATH) is a relatively new psychotherapy that recognises the importance of simultaneously targeting cognitive impairment and functional disability in the treatment of late‐life depression. This is the first systematic review to examine the effectiveness of PATH. Methods: Ageline, Embase, Medline, PsycINFO, Scopus and ProQuest databases were searched from 2010 until 5 April 2024, for studies that evaluated PATH for older people. Where possible, effect sizes (Hedges' g) with 95% confidence intervals and p values were calculated and pooled using a random effects model. The reporting quality of included studies was assessed using Joanna Briggs Institute Critical Appraisal tools and certainty of the evidence behind each result assessed with The Grading of Recommendations Assessment, Development and Evaluation method. Results: Twelve papers, from seven independent studies and a pooled sample of 579 older adults with multiple comorbidities, were included in this review. PATH participants experienced immediate reductions in depression symptom ratings (gw = 0.72, p < 0.01, Nstudies = 5), alongside small improvements in disability (gw = 0.61, p = 0.04, Nstudies = 4) compared to peers that received supportive therapy, brief psychoeducation, or usual care. The overall evidence quality was, however, characterised by bias, inconsistency, and imprecision in effect estimates. Positive participant feedback and low dropout rates (15%–31%) suggested treatment satisfaction, although these data were not routinely provided. Conclusions: PATH may be a viable treatment for older people living with mental and cognitive disorders, however there is a need for more rigorous research incorporating follow‐up assessments to consolidate the effectiveness of PATH relative to other treatments. Incorporating measures of treatment fidelity are also critical to interpreting and generalising these data. The protocol for this study was prospectively published on the Open Science Framework (https://osf.io/gx57a). [ABSTRACT FROM AUTHOR]

There are different definitions of axioms, but the one that seems to have general approval is that axioms are statements whose truths are universally accepted but cannot be proven; they are the foundation from which further propositional truths are derived. Previous attempts, led by David Hilbert, to show that all of mathematics can be built into an axiomatic system that is complete and consistent failed when Kurt Gödel proved that there will always be statements which are known to be true but can never be proven within the same axiomatic system. But Gödel and his followers took no account of brain mechanisms that generate and mediate logic. In this largely theoretical paper, but backed by previous experiments and our new ones reported below, we show that in the case of so‐called 'optical illusions', there exists a significant and irreconcilable difference between their visual perception and their description according to Euclidean geometry; when participants are asked to adjust, from an initial randomised state, the perceptual geometric axioms to conform to the Euclidean description, the two never match, although the degree of mismatch varies between individuals. These results provide evidence that perceptual axioms, or statements known to be perceptually true, cannot be described mathematically. Thus, the logic of the visual perceptual system is irreconcilable with the cognitive (mathematical) system and cannot be updated even when knowledge of the difference between the two is available. Hence, no one brain reality is more 'objective' than any other. [ABSTRACT FROM AUTHOR]

Background: Many instructors transitioned their courses from face‐to‐face environments to computer‐mediated learning environments (CMLEs) following the onset of the coronavirus disease 2019 (COVID‐19) pandemic. However, little was known about how teleconferencing platforms and their corresponding functions affect student learning when the COVID‐19 pandemic began. Objectives: The aim of this study was to provide more clarity on the conditions through which online teleconferencing platforms influence student achievement. More specifically, this study investigated how displaying lecture‐relevant and lecture‐irrelevant messages in a chat box during a video lecture delivered via the Zoom teleconferencing platform affected student learning and note taking. Methods: Participants viewed the video lecture either with (relevant or irrelevant) or without messages appearing in the chat box of the Zoom window. Participants completed a learning test immediately following the lecture. Results and Conclusions: No difference regarding student achievement was observed between the three groups. However, results revealed that students in the relevant‐lecture messages group reported a higher extraneous cognitive load than the other groups even if they reported positive attitudes about the messages appearing on the chat box. Students in the lecture‐relevant group also recorded more notes during the lecture compared to the two other groups, but this result did not reach significance. This study extends previous research that investigated how messaging influences learning in classroom settings. Findings suggest that allowing relevant discussions is not the best strategy to promote learning in CMLEs as this information seems to compete with the other relevant information being presented during the ongoing lecture. Lay Description: What is already known about this topic: In video lectures, the chat box has been identified as the function most often used to support students' learning.Responding to lecture‐relevant messages can enhance students' learning.However, it remains unknown how simply reading, but not responding to, lecture‐relevant and lecture‐irrelevant messages can affect learning and note taking. What this paper adds: In previous studies, researchers examined how messaging affects learning in a classroom setting, but not within a computer‐mediated lecture environment.The present study extends previous research that investigated how messaging influences learning in classroom settings.This study provides more clarity on the conditions through which online teleconferencing platforms affect student learning and note taking.Findings suggest that allowing relevant discussions is not the best strategy to promote learning in CMLEs as this information seems to compete with the other relevant information being presented during the ongoing lecture. Implications for practitioners: The features of video lectures are critical factors, as they influence students' learning and should therefore be taken into account when designing educational materials.Instructors should not allow students to engage in lecture‐relevant and irrelevant messaging and discussion during video lectures as it competes with the other relevant information being presented. [ABSTRACT FROM AUTHOR]

Background: Virtual reality (VR) offers significant potential for hands‐on learning environments by providing immersive and visually stimulating experiences. Interacting with such environments can bring numerous benefits to learning, including enhanced engagement, knowledge construction, and higher‐order thinking. However, many current VR studies in hands‐on learning tend to utilise one‐way learning materials, limiting participants' ability to interact with and reflect on their actions and learning experiences. Moreover, these studies often neglect to assess learners' capacity to transfer their skills from VR learning to real‐world scenarios. Therefore, this study aims to investigate participants' engagement, learning outcomes, higher‐order thinking, and their ability to apply acquired skills in real‐world contexts. Method and Objective: Participants were immersed in a hands‐on learning environment in VR, where they received feedback and engaged in reflection during the learning process. This study recruited 68 university students to participate in the experiment, employing a quasi‐experimental design. Participants experienced learning units both with and without reflection on the feedback. The theme of these learning units was related to embedded systems, encompassing topics such as the assembly of embedded components and Python programming. The investigation aimed to assess whether reflection in VR could enhance cognitive levels, engagement, real‐world hands‐on tasks abilities, and higher‐order thinking. Results: The research results indicate that in the VR hands‐on learning environment, participants engage in reflection through the provided feedback, effectively enhancing their engagement, cognitive levels, and hands‐on task abilities. Simultaneously, it also successfully assists participants in developing problem‐solving skills and critical thinking in higher‐order thinking. Conclusions: Participants actively engaged in reflection on their own learning tasks and actions within the hands‐on learning environment, enabling them to develop a deeper understanding of the learning material and enhance their real‐world hands‐on tasks abilities, we encourage the integration of reflection strategies in VR learning environments for hands‐on learning, as they can yield positive benefits for learners. Lay Description: What is already known about this topic: Virtual reality learning environments can enhance students' cognitive levels.Higher‐order thinking has a significant impact on hands‐on learning.Reflection has an important influence on the cognitive process. What this paper adds: Providing reflection through feedback in a virtual reality environment increases learning engagement and promotes higher‐order thinking.Reflection in virtual reality enhances cognitive levels and practical abilities. Implications for practice and/or policy: We demonstrated the effectiveness of providing reflection through feedback in a VR hands‐on learning environment.Learners, through reflection in VR, enhance higher‐order thinking, engagement, cognitive levels, and practical abilities. What are the 1 or 2 major takeaways from the study: Providing reflection in VR learning environments used for training or hands‐on learning can effectively promote cognitive levels, engagement, higher‐order thinking abilities, and practical skills.Through VR reflection, we reveal the potential of cultivating higher‐order thinking through VR. [ABSTRACT FROM AUTHOR]

Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre‐service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment‐based teaching approach (FVPA‐based teaching approach) can (1) promote pre‐service teachers' DL; (2) enhance their learning motivation; and (3) improve their cognitive load. Methods: The research was conducted based on a pre‐test‐post‐test control group quasi‐experimental design. With 20 participants in the experimental group and 21 in the control group, a total of 41 pre‐service teachers were included in the study. The pre‐service teachers in the experimental group adopted the FVPA‐based teaching approach, and those in the control group adopted the traditional peer assessment‐based learning approach. Results and Conclusions: The experimental group participants outperformed the control group participants in DL, learning motivation, and cognitive load. FVPA was conducive to helping pre‐service teachers critically interpret data, understand their teaching and learning issues, and improve self‐reflection. The findings indicate a reciprocal relationship between learning motivation and DL; improving the learning motivation of pre‐service teachers could promote their DL. Implications: This study contributes to current knowledge by providing empirical evidence on the benefits of an FVPA‐based teaching approach in improving pre‐service teachers' DL, motivation, and cognitive load. The study findings, limitations, and prospects for future research are discussed. Lay Description: What is already known about this topic?: Teacher data literacy has emerged as a crucial competency for the forthcoming generation of educators, gaining attention from education institutions globally.Peer assessment, a well‐established practice in pre‐service teacher education, has proven effective in enhancing the learning experience for disadvantaged students by fostering motivation and improving academic performance.Despite the acknowledged benefits of feedback visualisation in facilitating self‐reflection, motivation, and academic performance, creating meaningful visualisations remains a challenge for educators and learners. What this paper adds?: This study introduces feedback visualisation in peer assessment to enhance comprehension of feedback information among pre‐service teachers.Feedback visualisation augments the benefits derived from peer assessment, refining data literacy, improving learning motivation, and alleviating cognitive load among pre‐service educators.The analysis of data directly relevant to pre‐service teachers and the provision of timely feedback can motivate critical analysis and utilisation of data, facilitating the identification of pedagogical and learning challenges.The study explores intricate interactions among learning motivation, data literacy, and cognitive load within the context of peer assessment visual feedback. The implications of study findings for practitioners: We encourage teacher educators to implement peer assessment instruction grounded in visual feedback for a comprehensive understanding of learning outcomes, identification of pedagogical challenges, determination of causes, and evidence‐informed instructional decision‐making.Teacher educator should diversify strategies to augment the motivation of pre‐service teachers, cultivating their proactive engagement in data analysis, interpretation, and application to enhance overall data literacy.We recommend that teacher educators provide rich visual feedback or present complex data in a visually accessible format for pre‐service teachers who need additional assistance to mitigate cognitive load and facilitate successful learning outcomes. [ABSTRACT FROM AUTHOR]

Rationale: Research on diagnostic reasoning has been conducted for fifty years or more. There is growing consensus that there are two distinct processes involved in human diagnostic reasoning: System 1, a rapid retrieval of possible diagnostic hypotheses, largely automatic and based to a large part on experiential knowledge, and System 2, a slower, analytical, conscious application of formal knowledge to arrive at a diagnostic conclusion. However, within this broad framework, controversy and disagreement abound. In particular, many authors have suggested that the root cause of diagnostic errors is cognitive biases originating in System 1 and propose that educating learners about the types of cognitive biases and their impact on diagnosis would have a major influence on error reduction. Aims and Objectives: In the present paper, we take issue with these claims. Method: We reviewed the literature to examine the extent to which this theoretical model is supported by the evidence. Results: We show that evidence derived from fundamental research in human cognition and studies in clinical medicine challenges the basic assumptions of this theory—that errors arise in System 1 processing as a consequence of cognitive biases, and are corrected by slow, deliberative analytical processing. We claim that, to the contrary, errors derive from both System 1 and System 2 reasoning, that they arise from lack of access to the appropriate knowledge, not from errors of processing, and that the two processes are not essential to the process of diagnostic reasoning. Conclusions: The two processing modes are better understood as a consequence of the nature of the knowledge retrieved, not as independent processes. [ABSTRACT FROM AUTHOR]

One important goal of cognitive science is to understand the mind in terms of its representational and computational capacities, where computational modeling plays an essential role in providing theoretical explanations and predictions of human behavior and mental phenomena. In my research, I have been using computational modeling, together with behavioral experiments and cognitive neuroscience methods, to investigate the information processing mechanisms underlying learning and visual cognition in terms of perceptual representation and attention strategy. In perceptual representation, I have used neural network models to understand how the split architecture in the human visual system influences visual cognition, and to examine perceptual representation development as the results of expertise. In attention strategy, I have developed the Eye Movement analysis with Hidden Markov Models method for quantifying eye movement pattern and consistency using both spatial and temporal information, which has led to novel findings across disciplines not discoverable using traditional methods. By integrating it with deep neural networks (DNN), I have developed DNN+HMM to account for eye movement strategy learning in human visual cognition. The understanding of the human mind through computational modeling also facilitates research on artificial intelligence's (AI) comparability with human cognition, which can in turn help explainable AI systems infer humans' belief on AI's operations and provide human‐centered explanations to enhance human−AI interaction and mutual understanding. Together, these demonstrate the essential role of computational modeling methods in providing theoretical accounts of the human mind as well as its interaction with its environment and AI systems. In this paper, I summarize my research in visual cognition, language processing, and explainable AI to demonstrate the essential role of computational modeling methods in providing theoretical accounts of the human mind as well as its interaction with its environment and AI systems. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to develop a model to explain why and how some expatriate managers engage in misbehavior in host countries, a notoriously elusive phenomenon in the academe. Integrating social cognitive and fraud triangle theories, we conceptualize this phenomenon as an externally driven, cognitive decision‐making process. Specifically, we theorize that discrepancies between both home and host country environments and expatriate managerial and parent‐company performance expectations and on the ground realities that expatriates face trigger expatriate managerial cognitive self‐regulatory dynamics. Consequently, extrinsic reputation and intrinsic self‐esteem threats provide motivation for managers to learn vicariously from the host social environment about the effectiveness of misbehavior for achieving their goals. Expatriate self‐efficacy and the propensity to morally disengage moderate this process. Parent company controls also impact the influence of vicarious learning on expatriate managers' development of motivation, justification, and opportunities for misbehavior. Our model contributes to the misbehavior and expatriate literatures and extends social cognitive and fraud triangle theories. [ABSTRACT FROM AUTHOR]

One of the most exciting debates in philosophy of imagination in recent years has been over the epistemic use of imagination where imagination epistemically contributes to justifying beliefs and acquiring knowledge. This paper defends "generationism about imagination" according to which imagination is a generative source, rather than a preservative source, of justification. In other words, imagination generates new justification above and beyond prior justification provided by other sources. After clarifying the generation/preservation distinction (Section 2), we present an argument for generationism about imagination, which can be divided into two parts; the philosophical part and the empirical part. In the philosophical part of our argument (Section 3), we claim that generationism about imagination follows from what we call "INACCESSIBILITY". According to INACCESSIBILITY, imagination is properly constrained by the imaginative constrainers (i.e., the prior representations that constrain the development of a scenario in imagination) to which non‐imaginative belief‐forming processes do not have access. In the empirical part of our argument (Section 4), we claim that INACCESSIBILITY is plausible in light of relevant studies and theories in the empirical literature, especially the literature on mental simulation (Section 4.1), core cognition (Section 4.2), and intuitive physics (Section 4.3). [ABSTRACT FROM AUTHOR]

Stress forecasting is the cognitive process of anticipating and preparing to respond to future stress experiences based on one's own perceived future stress. Though it may seem intuitive that stress forecasting predicts stress, competing theories exist that indicate the relationship is not so inherent. In this paper we conducted two studies which both examine the relationships between stress forecasting and day stress, examining two different stress domains (appraisal and coping). Participants in Study 1 (n = 143 working adults) and Study 2 (n = 60 undergraduate students) completed 4 and 14 days, respectively, of ecological momentary assessment reports of stress appraisal forecasting, stress coping forecasting, stress appraisal reports, and stress coping reports, for a combined total of 5280 completed assessments. Exploratory analysis in Study 2 examined the importance of morning forecast discrepancy in relation to evening recalls of day stress. Results indicate that within domain (e.g., stress appraisal to appraisal reports), or domain specific, stress forecasting is predictive of day stress, and that across domains (e.g., stress appraisal to coping reports), or domain crossover, was consistent between stress appraisal forecasting and stress coping reports. Results suggest that magnitude of bias and day outlook (i.e., being either optimistic or pessimistic) about one's coping ability matters for day stress outcomes. Findings have implications for developing challenge‐based thinking interventions and further understanding cognitive processes for building stress management strategies. [ABSTRACT FROM AUTHOR]

Evidence of cognition in aneural cells is well‐establish in the literature. This paper extends the exploration of the mechanisms of cognition by considering whether or not aneural cells may be capable of irrational cognition, making associations based on coincidental similarities and circumstantial factors. If aneural cells do harness such semiosic qualities, as with higher‐level creativity, this might be how they are able to overcome old algorithms and invent tools for new situations. I will look at three examples of irrational learning in aneural systems in terms of semiotics: (1) generalisation in the immune system, based on viral molecular mimicry, whereby immune cells attack the self, which seems to be an overgeneralisation of an icon sign based on mere similarity, not identity, (2) the classical conditioning of pea plants to trope toward wind as a sign of light, which seems to be an association of an index sign based on mere temporal proximity, and (3) a pharmaceutical intervention to prevent pregnancy, using a conjugate to encrypt self with non‐self, which seems to be an example of symbol use. We identify irrational cognition easily when it leads to 'wrong' outcomes, but, if it occurs, it may also lead to favourable outcomes and 'creative' solutions. [ABSTRACT FROM AUTHOR]

Background: Immersive virtual reality (IVR) is a new technology that could motivate learners, but also could contain distracting elements that increase cognitive demands on learners. In contrast, learning with conventional media, such as a narrated slideshow could be less motivating, but also less distracting. Objectives: This experiment investigates: (1) in what situations executive function and working memory capacity play a role in learning in IVR and a slideshow lesson and (2) whether people learn science content better with IVR or with a narrated slideshow lesson. Method: Participants watched a lesson on ocean acidification either using a head‐mounted display IVR device or a pre‐recorded narrated slideshow lesson. A week later, they took a test on this material and completed tasks to assess executive function and working memory capacity. Results and Conclusion: On a post‐test, there was no difference between IVR and slideshow lessons, but there were differences in the role of executive function in learning with these two media. For students learning in IVR, executive function correlated significantly with post‐test scores, such that learners with stronger executive function did better on the posttest than those with weaker executive function, while for students learning with a slideshow lesson, executive function and working memory capacity did not correlate significantly with posttest scores. This research indicates that it is important to understand how a learner's attentional controls impact their understanding when using IVR for learning. Lay Description: What is already know about this topic: Immersive virtual reality increases demands on cognition for learners.Immersive virtual reality for learning has inconsistent effects in prior research.Executive function and working memory capacity are important components in processing material while learning. What this paper adds: Research focused on the role individual differences play in learning with technology.Using common cognitive assessments to understand the process of learning better. Implications for practice and/or policy: Executive function predicted test score for an immersive virtual reality lesson.Use of immersive technology needs to take into account executive function to reduce potential inequity in learning. [ABSTRACT FROM AUTHOR]

Background: Introducing new technologies in education sparks debates, disrupting traditional practices, and requiring teacher adaptation. ChatGPT is an example. Research explores its benefits and concerns in education, with recommendations for classroom use. Nevertheless, limited evidence supports ChatGPT as a tool for supporting English as a Foreign Language (EFL) students' research competency. Moreover, while the literature primarily focuses on the perspectives of scholars and teachers, it is essential to incorporate students' viewpoints in order to maximize the potential of this technology. Objectives: The present study investigated EFL undergraduates' perceptions and practices of ChatGPT as a tool for promoting their research competency. Additionally, the study examined the potential influence of metacognitive awareness (MA) levels in this context. Methods: The study utilized a mixed‐method research design, collecting quantitative and qualitative data from 27 EFL undergraduates (12 with low MA and 15 with high MA) over one semester. Data sources included a self‐report questionnaire, self‐study log, and semi‐structured interviews. Results and conclusions: Quantitative analysis showed significant differences between low and high MA groups in their perceptions of ChatGPT (U = 37.500, Z = 2.570). Regression analysis revealed a positive correlation between MA scores and students' perceptions and practices of ChatGPT. Qualitative analysis revealed diverse perceptions and practices of ChatGPT between the high MA and low MA groups, showcasing behaviours ranging from replication to using ChatGPT as a thought‐stimulating and supportive tool, accessing supplementary information, and seeking guidance. Key factors for effective ChatGPT use included prompt formulation, systematic thinking, self‐regulation strategies, and trust in AI. Lay Description: What is currently known about this topic: Research competency and metacognitive awareness are important for EFL undergraduates.Technology has been explored for promoting research competency.ChatGPT is used as a learning tool in EFL instruction contexts. What does this paper add: It provides a deeper understanding of the practical application of AI tools like ChatGPT for developing research competency among EFL students.It enhances understanding of metacognition's role in successful learning in digital environments by exploring MA's impact on using ChatGPT for research purposes. Implications for practice/policy: Provide explicit instructions and guidelines for EFL students to effectively use ChatGPT for research competency, emphasizing clear prompt design and fostering responsible use through critical thinking and awareness of biases and limitations.Enhance EFL students' metacognitive awareness through scaffolding, explicit instruction, and activities.Implement assessments and monitoring mechanisms to track metacognitive development and guide instructional interventions.Offer professional development opportunities for EFL teachers to enhance their understanding and skills in integrating AI tools into research instruction and other EFL aspects. [ABSTRACT FROM AUTHOR]

Background: People with aphasia (PWA) frequently experience difficulties in understanding longer written content such as paragraphs or books. Reading strategies are a promising approach to treat text‐level reading comprehension deficits in PWA. Nevertheless, empirical evidence for their efficacy remains rare. Aims: The primary objective of this study was to analyse the efficacy of a strategy‐based intervention on text‐level reading comprehension in PWA. Secondary objectives were to compare the effects of two strategy‐based intervention components and to explore potential moderator effects. Methods & Procedures: A protocol was published prior to data acquisition. In a repeated measures trial, 26 German participants with chronic, post‐stroke aphasia participated in a waiting period without aphasia treatment (control condition) followed by a strategy‐based intervention called 'Strategiebasierte Textverständnis‐Therapie bei Aphasie' (StraTexT, 14 face‐to‐face‐sessions, twice per week, 60 min each). Two strategy combinations, Intervention Micro targeting microstructure and Intervention Macro targeting macrostructure, were applied to newspaper and magazine articles. Participants were randomly allocated to two parallel groups that received these strategy combinations in interchanged sequences. Assessments were implemented before and after each period as well as 3 and 6 months after the intervention. The primary outcome measure was text‐level reading comprehension measured with the total score of a German version of the Test de Compréhension de Textes (TCT‐D). Secondary outcome measures addressed the self‐reported perception of reading abilities, reading activities and feelings about reading (German version of the Comprehensive Assessment of Reading in Aphasia CARA reading questionnaire) as well as selected cognitive functions. Outcomes & Results: The per‐protocol‐analysis included data from 22 participants. We found significant small improvements up to 6 months post‐intervention compared to pre‐intervention in the TCT‐D Total (d = 0.35–0.46) as well as medium to large improvements in the CARA questionnaire (d = 0.68–0.96). Up to 3 months after the intervention, treatment‐induced improvements in the TCT‐D Total were significantly larger than change without treatment during the control condition. There was no evidence of moderator effects. Furthermore, we found improvements in several cognitive functions. Conclusions & Implications: Reading strategies can lead to long‐term improvements in text‐level reading comprehension and in self‐reported reading abilities, feelings about reading and reading activities in aphasia. In regular clinical settings, it seems reasonable to implement both Intervention Micro and Intervention Macro. It remains important to investigate participant characteristics that contribute to treatment success. WHAT THIS PAPER ADDS: What is already known on the subject: Systematic reviews and multiple case studies suggest that reading strategies are a promising approach to treat text‐level reading comprehension in aphasia. The efficacy of reading strategies has been demonstrated for different populations. However, to date no group study has evaluated the efficacy of reading strategies on text‐level reading comprehension in people with aphasia. What this study adds: This study provides the first group‐level evidence about the efficacy of a systematic strategy‐based intervention in 22 people with post‐stroke chronic aphasia. During 14 treatment sessions, participants applied four reading strategies to newspaper and magazine articles within two intervention components called Intervention Micro and Intervention Macro (two strategies per intervention component). We found improvements in text‐level reading comprehension for at least 3 months post‐intervention, as well as effects on selected cognitive functions and self‐reported reading abilities, thoughts and feelings about reading and the ability to engage in reading activities. What are the clinical implications of this work?: The strategies and materials evaluated in this study could be used in clinical practice with people with aphasia. In order to replicate treatment effects in clinical practice, we suggest applying the strategy combination with the same protocol features (e.g., frequency, duration, homework, product orientation) as in this study, implementing Intervention Micro and Intervention Macro sequentially in either order. As treatment response was not equal in all individuals, it seems important to investigate individual features that contribute to treatment success. [ABSTRACT FROM AUTHOR]

Background: Digital texts are progressively becoming the medium of learning for students, but research has indicated that students tend to process information more superficially while reading on screen. It is therefore relevant to examine what strategies can support digital text comprehension. Objectives: This study aimed to investigate the effects of highlighting—both learner generated and experimenter provided—when reading digitally. Methods: University students (N = 170) were randomly assigned to the condition of learner‐generated highlighting, experimenter‐provided highlighting, or control. Reading outcomes were measured as literal and inferential text comprehension, transfer of knowledge, and metacognitive calibration of comprehension performance at immediate and delayed post‐tests. Individual differences in prior knowledge, cognitive reflection, and reading self‐efficacy were taken into account. The quality of the information highlighted by students in the condition of active highlighting was also measured. Results: From linear mixed‐effects models, the main effect of condition did not emerge for any of the outcomes. However, an interactive effect of condition and cognitive reflection emerged for literal text comprehension that favoured readers in the condition of experimenter‐provided highlighting with higher ability to resist automatic thinking. Inferential text comprehension, transfer of knowledge, and calibration of performance were only predicted by cognitive reflection or reading self‐efficacy. Finally, the quality of information highlighted significantly contributed to students' literal text comprehension and transfer of knowledge in the learner‐generated highlighting condition. Takeaways: Active highlighting is not effective per se during digital reading. The "amplification" effect of already highlighted text and higher cognitive reflection suggests that readers who are more able to resist automatic thinking may also invest more effort in the task, taking more advantage of the provided support. Even if active highlighting may not be effective per se compared to other reading conditions, what students highlight contributes to literal text comprehension and their learning from text. Lay Description: What is already known about this topic: Reading on a screen to learn new content for academic assignments is a typical learning activity for todays' students.For digital reading students tend to adopt a more superficial approach compared to traditional reading.Reading strategies can help readers to comprehend complex digital texts.Highlighting is a technically simple strategy to use for digital reading, which can at least support the selection of relevant information for text comprehension. What this paper adds: When considering digital reading neither learner‐generated highlighting nor experimenter‐provided highlighting is effective by itself.Experimenter‐provided highlighting is more effective for literal text comprehension than learner‐generated highlighting when combined with readers' ability to cognitively reflect and resist more automatic responses.The individual differences of cognitive reflection and reading self‐efficacy predicted inferential text comprehension and transfer of knowledge.Reading self‐efficacy also predicted readers' metacognitive calibration of comprehension performance (accuracy of self‐judgements of comprehension performance). The implications of study findings for practitioners: The effective use of highlighting for text comprehension probably requires some explicit instruction and practice in learning devices.The potential benefits of either learner‐generated highlighting or experimenter‐provided highlighting should be considered in relation to cognitive and motivational individual differences.It is important to create or refine readers' awareness that the quality of the information they highlight matters as it is associated with their text literal text comprehension and transfer of knowledge. [ABSTRACT FROM AUTHOR]