Journal of Intelligence最新文献

Contemporary society demands the development of creative critical thinking (CCT) as a fundamental objective in science education. However, there appears to be a dissonance between this recognised need and its actual implementation in educational practices. This study explores the potential of modelling practices to intentionally, explicitly, and reflectively integrate the development of CCT in educational settings. To examine this possibility while laying the foundations for future research, the theoretical frameworks of CCT and modelling are synthesised, and their possible points of convergence are analysed in order to test the proposed hypothesis. Two elements that may strengthen their synergy are identified: first, the resources for modelling, such as analogies, which activate analytical, evaluative, creative, and argumentative skills, thereby fostering critical dispositions and a deeper understanding of the nature of science. Second, argumentation, closely connected with communication and information management, is considered a relevant component, especially when addressing socioscientific issues. While further empirical research is needed, the analysis indicates that modelling practices could contribute to the development of CCT.

Remote intelligence testing has multiple advantages, but cheating is possible without proper supervision. Proctoring aims to address this shortcoming, yet prior research on its effects has primarily investigated reasoning tasks, in which cheating is generally difficult. This study provides an overview of recent research on the effects of proctoring and on studies in intelligence test settings. Moreover, we conducted an empirical study testing the effects of webcam-based proctoring with a multidimensional intelligence test measuring reasoning, short-term memory, processing speed, and divergent thinking. The study was conducted in a low-stakes context, with participants receiving a fixed payment regardless of performance. Participants completed the test under proctored (n = 74, webcam consent), unproctored random (n = 75, webcam consent), or unproctored chosen (n = 77, no webcam consent) conditions. Scalar measurement invariance was observed for reasoning, processing speed, and divergent thinking, but not for memory. Proctoring had no significant main effect on test performance but showed a significant interaction with test type. Proctored participants outperformed the unproctored chosen group significantly in divergent thinking and scored descriptively higher in reasoning and processing speed, but slightly lower in memory. Observable cheating under proctored conditions was rare (4%), mostly involving note-taking or photographing the screen. We conclude that proctoring is crucial for easily cheatable tasks, such as memory tasks, but currently less critical for complex cognitive tasks.

We examined the effects of emotional intelligence (EI) and the Big Five on students' performance in collaborative problem solving (CPS). 162 secondary-school students completed the Mayer-Salovey-Caruso Emotional Intelligence Test and the Big Five Inventory. Divided into 54 triads (64.8% female), they then collaboratively solved a complex social problem. Based on video-recordings of the CPS sessions, we assessed four CPS processes: the team's socio-cognitive exchange, socio-emotional interaction, task management, and relationship management. The CPS product (solution) of each team was judged by two independent raters. Using structural equation modelling (1) with team-level EI abilities as predictors, we found a small indirect effect (via CPS processes) of both understanding and managing emotions on the CPS product, and a medium-size direct effect of understanding emotions on the same criterion; (2) with team-level traits as predictors, a medium-size positive effect of neuroticism on task management, a small negative effect of extraversion on relationship management, and a small positive effect of openness on the CPS product. A model including both EI and personality confirmed their independent contributions to CPS performance, with EI abilities contributing both directly and indirectly to the CPS product, and the contribution of personality narrowed down to neuroticism positively affecting task management.

In spite of the ever-growing body of research in achievement goal profiles and their contribution to performance, the research on young children is quite limited. This study examined achievement goal profiles related to mathematics and literacy performance among third-grade students (N = 185, M = 8.73 years; 98 girls), using Latent Profile Analysis. Four distinct profiles emerged-Mastery-Oriented, Approach-Oriented, High Multiple-Goals, and Moderate Multiple-Goals-that were highly similar across math and literacy (contingency coefficient = 0.59). Schoolchildren endorsing the Approach-Oriented profile demonstrated higher achievement compared to those with High Multiple-Goals or Moderate Multiple-Goals profiles, which involved more avoidance goals and were less adaptive (with up to 8% of variance explained by profile). Gender differences were observed: girls were more likely to endorse profiles combining multiple goals, whereas boys more often endorsed mastery or approach profiles. These results highlight early inter-individual differences in motivational development, observable in both mathematics and literacy. Promoting adaptive goal profiles in early education may enhance academic engagement and help reduce emerging motivational disparities.

While interleaved learning has been shown to enhance young adults' acquisition of confusable natural categories, its effects on children's natural category learning remain underexplored. The present study investigated the effects of study schedule (interleaving vs. blocking) on both categorization accuracy and the accuracy of metacognitive judgments during the learning of natural rock categories, comparing children and young adults. In Experiment 1, participants studied under blocked or interleaved conditions and subsequently provided global judgments of their learning. In Experiment 2, we employed a self-paced learning paradigm that required learners to regulate their own study time. Additionally, participants made item-by-item judgments of their learning during the study phase. Across both experiments, we found that interleaved learning significantly improved categorization accuracy, with young adults benefiting more than children. Regarding metacognitive monitoring, interleaving reduced overconfidence in children but led to underconfidence in young adults, as reflected in both global and item-level judgments. These findings suggest that the benefits of interleaved learning for category performance and metacognitive monitoring vary with age, highlighting age-related differences in the effectiveness of interleaved learning.

This study examined the neural characteristics of belief-bias reasoning in order to reveal the neurocognitive basis of critical thinking. Functional near-infrared spectroscopy was utilized to capture the real-time brain hemodynamic activity of 74 college students while they performed a belief-bias syllogistic reasoning task. Values of oxy-hemoglobin (oxy-Hb) and deoxy-hemoglobin (deoxy-Hb) in regions of interest were analyzed in relation to critical thinking skills assessed by established tests. The results reveal significant activation in both the opercular part of the right IFC and the left DLPFC when participants encountered situations where their prior beliefs contradicted logical validity during the completion of the belief-bias syllogistic reasoning task. Crucially, individuals with lower levels of critical thinking skills demonstrated heightened activation in the opercular part of the right IFC compared to those with higher levels of critical thinking skills. Furthermore, variations in hemodynamics, quantified by oxy-Hb and deoxy-Hb concentration values (area under the activity curve as absolute value), during the execution of belief-bias reasoning tasks accounted for a substantial proportion of the variability in critical thinking skills. Additionally, the hemodynamic data to a large extent explained the connection between belief-bias reasoning and critical thinking. These results provide a neural explanation for the relationship between belief-bias reasoning and critical thinking, and advance theoretical models of critical thinking by illuminating the brain's mechanisms engaged in unbiased reasoning and metacognition.

Intelligence, academic achievement and an unfavorable discrepancy between them (i.e., underachievement) have been proposed to influence students' subjective well-being. However, previous research on these effects remains scarce and inconsistent. The present study examined the associations between said variables in a sample of 695 fifteen-year-old students in Germany, differentiating between those with and without a migration background. Our findings unexpectedly revealed that students with a migration background reported higher life satisfaction than those without a migration background. Intelligence was unrelated to life satisfaction, regardless of migration background. Academic achievement, measured by the grade point average, was positively associated with life satisfaction among students without a migration background but showed no such relationship in students with a migration background. Segmented regression analyses further indicated that an unfavorable discrepancy between IQ and grade point average, reflecting underachievement, was associated with lower life satisfaction among students with a migration background but not among those without. These findings partially challenge previous research and theoretical assumptions. We discuss the theoretical and practical implications of our findings for educational policy and emphasize the importance of targeted interventions to address underachievement in students with a migration background. Our findings suggest that poor academic performance can have a particular impact on well-being in this group. Accordingly, interventions aimed at reducing the achievement gap of those students should not only target cognitive and academic skills but also promote emotional support, cultural inclusion and social integration in the school environment.

Cognitive tests measure psychological constructs that predict the development of academic skills. Research on cognitive-reading achievement relations has primarily been completed with single-test batteries and samples, resulting in inconsistencies across studies. The current study developed a consensus model of cognitive-reading achievement relations using meta-structural equation modeling (meta-SEM) through a cross-sectional analysis of subtest correlations from English-language norm-referenced tests. The full dataset used for this study included 49,959 correlations across 599 distinct correlation matrices. These included correlations among 1112 subtests extracted from 137 different cognitive and achievement test batteries. The meta-SEM approach allowed for increased sampling of cognitive and academic reading skills measured by various test batteries to better inform the validity of construct relations. The findings were generally consistent with previous research, suggesting that cognitive abilities are important predictors of reading skills and generalize across different test batteries and samples. The findings are also consistent with integrated cognitive-reading models and have implications for assessment and intervention frameworks.

Creativity is the primary driver of our cultural evolution. The astonishing potential of artificial intelligence (AI) and its possible application in the creative process poses an urgent and dramatic challenge for humanity; how can we maximize the benefits of AI while minimizing the associated risks? In this article, we identify all forms of human-AI collaboration in this realm as cyber-creativity. We introduce the following two forward-looking scenarios: a utopian vision for cyber-creativity, in which AI serves to enhance and not replace human creativity, and a dystopian view associated with the pre-emption of all human creative agency caused by the rise of AI. In our view, the scientific community is called to bring its contribution, however small, to help humanity make steps towards the utopian scenario, while avoiding the dystopian one. Here, we present a decalogue of research challenges identified for this purpose, touching upon the following dimensions: (1) the theoretical framework for cyber-creativity; (2) sociocultural perspectives; (3) the cyber-creative process; (4) the creative agent; (5) the co-creative team; (6) cyber-creative products; (7) cyber-creative domains; (8) cyber-creative education; (9) ethical aspects; and (10) the dark side of cyber-creativity. For each dimension, a brief review of the state-of-the-art is provided, followed by the identification of a main research challenge, then specified into a list of research questions. Whereas there is no claim that this decalogue of research challenges represents an exhaustive classification, which would be an impossible objective, it still should serve as a valid starting point for future (but urgent) research endeavors, with the ambition to provide a significant contribution to the understanding, development, and alignment of AI to human values the realm of creativity.

This article provides a critical review of conceptually different approaches to automatic and transformer-based automatic item generation. Based on a discussion of the current challenges that have arisen due to changes in the use of psychometric tests in recent decades, we outline the requirements that these approaches should ideally fulfill. Subsequently, each approach is examined individually to determine the extent to which it can contribute to meeting the challenges. In doing so, we will focus on the cost savings during the actual item construction phase, the extent to which they may contribute to enhancing test validity, and potential cost savings in the item calibration phase due to either a reduction in the sample size required for item calibration or a reduction in the item loss due to insufficient psychometric characteristics. In addition, the article also aims to outline common recurring themes across these conceptually different approaches and outline areas within each approach that warrant further scientific research.