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Search Results (588)

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Keywords = executive skills

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14 pages, 638 KiB  
Article
Implementation and Evaluation of a VR/AR-Based Assistive Technology for Dyslexic Learners: An Exploratory Case Study
by María Lozano-Álvarez, Sonia Rodríguez-Cano, Vanesa Delgado-Benito and Miguel Ángel García-Delgado
Societies 2025, 15(8), 215; https://doi.org/10.3390/soc15080215 - 4 Aug 2025
Abstract
This exploratory case study investigates the implementation and educational impact of a Virtual Reality (VR)- and Augmented Reality (AR)-based assistive technology developed to support learners with dyslexia. The intervention, delivered via mobile devices and VR headsets, incorporated gamified and interactive content aimed at [...] Read more.
This exploratory case study investigates the implementation and educational impact of a Virtual Reality (VR)- and Augmented Reality (AR)-based assistive technology developed to support learners with dyslexia. The intervention, delivered via mobile devices and VR headsets, incorporated gamified and interactive content aimed at enhancing cognitive skills such as attention, inhibition, narrative memory, and phonological awareness. Two in-depth case studies were conducted with primary school students formally diagnosed with dyslexia. Cognitive performance was assessed using the NEPSY-II neuropsychological battery, and user experience was evaluated using the Technology Acceptance Model (TAM). The results showed positive trends in executive function and language-related skills, as well as high motivation and satisfaction. While these findings suggest promising benefits of immersive educational technologies in dyslexia intervention, conclusions regarding efficacy cannot be drawn due to the limited sample size. Further research with larger and controlled designs is needed to validate these initial observations. Full article
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23 pages, 1245 KiB  
Article
Relationship Between Obesity and Impairment of Cognitive Functions: An Investigation into the Integrated Role of Nutritional Education and Physical Activity in Lower Secondary School
by Maria Giovanna Tafuri, Domenico Tafuri and Francesca Latino
Nutrients 2025, 17(15), 2531; https://doi.org/10.3390/nu17152531 - 31 Jul 2025
Viewed by 247
Abstract
Background/Objectives: Obesity in adolescence is associated with a deterioration in cognitive functions, with significant implications for psychophysical well-being and academic performance. Recent studies highlight the importance of integrated interventions that combine nutrition education and physical activity to promote the overall health of students. [...] Read more.
Background/Objectives: Obesity in adolescence is associated with a deterioration in cognitive functions, with significant implications for psychophysical well-being and academic performance. Recent studies highlight the importance of integrated interventions that combine nutrition education and physical activity to promote the overall health of students. The present study aims to evaluate the efficacy of an integrated intervention based on nutritional education and conscious body movement in improving cognitive functions, perceived well-being and nutritional knowledge in lower secondary school students with indicators of overweight and obesity. Methods: A quasi-experimental design with randomization at the class level was adopted, involving 60 students divided into an experimental group and control group. The intervention was divided into twelve weeks of activities, divided between nutritional education modules and physical activity courses. Standardized tests for the assessment of cognitive functions (Digit Span Forward, Digit Span Backward, Stroop Test, Trail Making Test B), motor tests (6-Minute Walk Test, Sit and Reach Test) and a food knowledge questionnaire were administered before and after the intervention. Results: The experimental group showed significant improvements compared to the control group in all cognitive, motor, and nutritional knowledge measures, indicating the effectiveness of the integrated intervention in promoting cognitive and physical well-being. Conclusions: The findings support the role of school as a generative environment of integrated well-being, suggesting the need to develop and implement curricular programs that integrate nutrition education and physical activity to counteract the negative effects of obesity on cognitive function in adolescents. Full article
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18 pages, 1910 KiB  
Article
Hierarchical Learning for Closed-Loop Robotic Manipulation in Cluttered Scenes via Depth Vision, Reinforcement Learning, and Behaviour Cloning
by Hoi Fai Yu and Abdulrahman Altahhan
Electronics 2025, 14(15), 3074; https://doi.org/10.3390/electronics14153074 - 31 Jul 2025
Viewed by 229
Abstract
Despite rapid advances in robot learning, the coordination of closed-loop manipulation in cluttered environments remains a challenging and relatively underexplored problem. We present a novel two-level hierarchical architecture for a depth vision-equipped robotic arm that integrates pushing, grasping, and high-level decision making. Central [...] Read more.
Despite rapid advances in robot learning, the coordination of closed-loop manipulation in cluttered environments remains a challenging and relatively underexplored problem. We present a novel two-level hierarchical architecture for a depth vision-equipped robotic arm that integrates pushing, grasping, and high-level decision making. Central to our approach is a prioritised action–selection mechanism that facilitates efficient early-stage learning via behaviour cloning (BC), while enabling scalable exploration through reinforcement learning (RL). A high-level decision neural network (DNN) selects between grasping and pushing actions, and two low-level action neural networks (ANNs) execute the selected primitive. The DNN is trained with RL, while the ANNs follow a hybrid learning scheme combining BC and RL. Notably, we introduce an automated demonstration generator based on oriented bounding boxes, eliminating the need for manual data collection and enabling precise, reproducible BC training signals. We evaluate our method on a challenging manipulation task involving five closely packed cubic objects. Our system achieves a completion rate (CR) of 100%, an average grasping success (AGS) of 93.1% per completion, and only 7.8 average decisions taken for completion (DTC). Comparative analysis against three baselines—a grasping-only policy, a fixed grasp-then-push sequence, and a cloned demonstration policy—highlights the necessity of dynamic decision making and the efficiency of our hierarchical design. In particular, the baselines yield lower AGS (86.6%) and higher DTC (10.6 and 11.4) scores, underscoring the advantages of content-aware, closed-loop control. These results demonstrate that our architecture supports robust, adaptive manipulation and scalable learning, offering a promising direction for autonomous skill coordination in complex environments. Full article
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23 pages, 480 KiB  
Article
Executive Functions and Reading Skills in Low-Risk Preterm Children
by Miguel Pérez-Pereira, Constantino Arce and Anastasiia Ogneva
Children 2025, 12(8), 1011; https://doi.org/10.3390/children12081011 - 31 Jul 2025
Viewed by 212
Abstract
Background/Objectives. Previous research with extremely and very preterm children indicates that these children obtain significantly lower results in executive functions (EFs) and in reading skills than full-term (FT) children. The comparison results do not seem to be so clear when other PT children [...] Read more.
Background/Objectives. Previous research with extremely and very preterm children indicates that these children obtain significantly lower results in executive functions (EFs) and in reading skills than full-term (FT) children. The comparison results do not seem to be so clear when other PT children in lower-risk conditions are studied. Many studies with typically developing and preterm (PT) children indicate that reading ability is determined, in part, by EFs. Therefore, the study of EFs and reading and their relationships in low-risk PT children is pertinent. Methods. In the present study, 111 PT children, classified into three groups with different ranges of gestational age (GA), and one group of 34 FT children participated in a longitudinal study, carried out from 4 to 9 years of age. The results obtained from the four groups in different EFs measured at 4, 5, and 8 years of age, and in reading skills at 9 years of age were compared. The possible effects of EFs on reading skills were studied through multiple linear regression analyses. Results. The results obtained indicate that no significant difference was found between FT children and any of the GA groups of PT children, either in EFs or reading skills. The effect of EFs on reading skills was low to moderate. Verbal and non-verbal working memory had a positive significant effect on decoding skills (letter names, same–different, and word reading), but not on reading comprehension processes. Higher-order EFs (cognitive flexibility and planning), as well as inhibitory control, showed positive effects on reading comprehension skills. The effects of the different EFs varied depending on the reading process. Conclusions. In conclusion, low-risk PT children do not differ from FT children in their competence in EFs or reading skills. There are long-lasting effects of EFs, measured several years before, on reading skills measured at 9 years of age. Full article
(This article belongs to the Special Issue Advances in Neurodevelopmental Outcomes for Preterm Infants)
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18 pages, 3353 KiB  
Article
Implementation of an Academic Learning Module for CNC Manufacturing Technology of the Part ”Double Fixing Fork”
by Georgiana-Alexandra Moroşanu, Florin-Ioan Moroșanu, Florin Susac, Virgil-Gabriel Teodor, Viorel Păunoiu and Nicuşor Baroiu
Inventions 2025, 10(4), 63; https://doi.org/10.3390/inventions10040063 - 29 Jul 2025
Viewed by 161
Abstract
The paper presents the CNC manufacturing technology of the ”Double fixing fork” part as a module with educational purpose, being designed as a training support for students and other parties, facilitating the practical learning of CNC processing technology. Its technological manufacturing process involved [...] Read more.
The paper presents the CNC manufacturing technology of the ”Double fixing fork” part as a module with educational purpose, being designed as a training support for students and other parties, facilitating the practical learning of CNC processing technology. Its technological manufacturing process involved a careful analysis of the geometry, material, tolerances, as well as functional requirements to ensure precision and reliability in operation. The material from which the part was made is a polymer material (PEHD 1000) selected both for its mechanical characteristics and for its compatibility with processing technologies. The results demonstrated high precision and adaptability, reduced execution times and the possibility of achieving complex geometries in a relatively short time. The developed module supports skill development in CNC programming and operation and is suitable for replication in other academic environments. Programming allowed for more precise control of the cutting tool trajectory and processing parameters. The paper represents an important contribution to the training of future specialists, paying special attention to the growing interdisciplinarity in manufacturing technology and the development of technical skills necessary for future engineers in the numerically controlled machinery sector. Full article
(This article belongs to the Section Inventions and Innovation in Advanced Manufacturing)
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27 pages, 3211 KiB  
Article
Hybrid Deep Learning-Reinforcement Learning for Adaptive Human-Robot Task Allocation in Industry 5.0
by Claudio Urrea
Systems 2025, 13(8), 631; https://doi.org/10.3390/systems13080631 - 26 Jul 2025
Viewed by 493
Abstract
Human-Robot Collaboration (HRC) is pivotal for flexible, worker-centric manufacturing in Industry 5.0, yet dynamic task allocation remains difficult because operator states—fatigue and skill—fluctuate abruptly. I address this gap with a hybrid framework that couples real-time perception and double-estimating reinforcement learning. A Convolutional Neural [...] Read more.
Human-Robot Collaboration (HRC) is pivotal for flexible, worker-centric manufacturing in Industry 5.0, yet dynamic task allocation remains difficult because operator states—fatigue and skill—fluctuate abruptly. I address this gap with a hybrid framework that couples real-time perception and double-estimating reinforcement learning. A Convolutional Neural Network (CNN) classifies nine fatigue–skill combinations from synthetic physiological cues (heart-rate, blink rate, posture, wrist acceleration); its outputs feed a Double Deep Q-Network (DDQN) whose state vector also includes task-queue and robot-status features. The DDQN optimises a multi-objective reward balancing throughput, workload and safety and executes at 10 Hz within a closed-loop pipeline implemented in MATLAB R2025a and RoboDK v5.9. Benchmarking on a 1000-episode HRC dataset (2500 allocations·episode−1) shows the hybrid CNN+DDQN controller raises throughput to 60.48 ± 0.08 tasks·min−1 (+21% vs. rule-based, +12% vs. SARSA, +8% vs. Dueling DQN, +5% vs. PPO), trims operator fatigue by 7% and sustains 99.9% collision-free operation (one-way ANOVA, p < 0.05; post-hoc power 1 − β = 0.87). Visual analyses confirm responsive task reallocation as fatigue rises or skill varies. The approach outperforms strong baselines (PPO, A3C, Dueling DQN) by mitigating Q-value over-estimation through double learning, providing robust policies under stochastic human states and offering a reproducible blueprint for multi-robot, Industry 5.0 factories. Future work will validate the controller on a physical Doosan H2017 cell and incorporate fairness constraints to avoid workload bias across multiple operators. Full article
(This article belongs to the Section Systems Engineering)
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18 pages, 1503 KiB  
Article
Methodology to Determine the Associative Potential of Small-Scale Mining Communities
by Oscar Jaime Restrepo-Baena, Sara Pérez-Zapata, María Margarita Gamarra, Jorge Iván Tobón and Gustavo Viana
Mining 2025, 5(3), 46; https://doi.org/10.3390/mining5030046 - 16 Jul 2025
Viewed by 360
Abstract
This study presents a methodology developed in collaboration with the Colombian National Mining Agency, aimed at enhancing the economic and productive activity of small-scale miners in Colombia through the promotion of associativity. Despite persistent challenges in the formalization and sustainable development of the [...] Read more.
This study presents a methodology developed in collaboration with the Colombian National Mining Agency, aimed at enhancing the economic and productive activity of small-scale miners in Colombia through the promotion of associativity. Despite persistent challenges in the formalization and sustainable development of the artisanal mining sector, fostering associative models offers a pathway towards a more sustainable mining industry, aligned with current national policies. The proposed roadmap, designed to achieve this objective, is divided into three sequential phases. The first, the Baseline Survey, focuses on comprehensively understanding the initial socio-economic and operational conditions of mining communities. This is followed by Participatory Strategic Planning, which involves projecting the long-term role and development of mining associative figures. Finally, the Annual Operational Planning and Execution phase concentrates on the concrete implementation of activities designed to achieve sustainable organizational goals. During the design and initial implementation of this roadmap, we found that continuous support and tailored training programs are essential for mining communities. These programs are critical for fostering the development of collective skills and strengthening community ties within mining organizations. The findings highlight that by strengthening collective capabilities and community ties, mining organizations can enhance their self-management capacities and significantly contribute to the economic development of their regions. This approach addresses key challenges in the sector by promoting a more organized and resilient operational framework. The implementation of a participatory methodology, coupled with specific organizational strengthening programs, coordinated execution, and continuous monitoring, provides a viable route towards a more sustainable and formalized small-scale mining sector in Colombia. This roadmap offers a practical framework for fostering self-managed and economically contributing mining organizations. Full article
(This article belongs to the Special Issue Envisioning the Future of Mining, 2nd Edition)
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24 pages, 5534 KiB  
Article
Enhancing Healthcare Assistance with a Self-Learning Robotics System: A Deep Imitation Learning-Based Solution
by Yagna Jadeja, Mahmoud Shafik, Paul Wood and Aaisha Makkar
Electronics 2025, 14(14), 2823; https://doi.org/10.3390/electronics14142823 - 14 Jul 2025
Viewed by 390
Abstract
This paper presents a Self-Learning Robotic System (SLRS) for healthcare assistance using Deep Imitation Learning (DIL). The proposed SLRS solution can observe and replicate human demonstrations, thereby acquiring complex skills without the need for explicit task-specific programming. It incorporates modular components for perception [...] Read more.
This paper presents a Self-Learning Robotic System (SLRS) for healthcare assistance using Deep Imitation Learning (DIL). The proposed SLRS solution can observe and replicate human demonstrations, thereby acquiring complex skills without the need for explicit task-specific programming. It incorporates modular components for perception (i.e., advanced computer vision methodologies), actuation (i.e., dynamic interaction with patients and healthcare professionals in real time), and learning. The innovative approach of implementing a hybrid model approach (i.e., deep imitation learning and pose estimation algorithms) facilitates autonomous learning and adaptive task execution. The environmental awareness and responsiveness were also enhanced using both a Convolutional Neural Network (CNN)-based object detection mechanism using YOLOv8 (i.e., with 94.3% accuracy and 18.7 ms latency) and pose estimation algorithms, alongside a MediaPipe and Long Short-Term Memory (LSTM) framework for human action recognition. The developed solution was tested and validated in healthcare, with the aim to overcome some of the current challenges, such as workforce shortages, ageing populations, and the rising prevalence of chronic diseases. The CAD simulation, validation, and verification tested functions (i.e., assistive functions, interactive scenarios, and object manipulation) of the system demonstrated the robot’s adaptability and operational efficiency, achieving an 87.3% task completion success rate and over 85% grasp success rate. This approach highlights the potential use of an SLRS for healthcare assistance. Further work will be undertaken in hospitals, care homes, and rehabilitation centre environments to generate complete holistic datasets to confirm the system’s reliability and efficiency. Full article
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12 pages, 8520 KiB  
Article
Integrated Haptic Feedback with Augmented Reality to Improve Pinching and Fine Moving of Objects
by Jafar Hamad, Matteo Bianchi and Vincenzo Ferrari
Appl. Sci. 2025, 15(13), 7619; https://doi.org/10.3390/app15137619 - 7 Jul 2025
Viewed by 448
Abstract
Hand gestures are essential for interaction in augmented and virtual reality (AR/VR), allowing users to intuitively manipulate virtual objects and engage with human–machine interfaces (HMIs). Accurate gesture recognition is critical for effective task execution. However, users often encounter difficulties due to the lack [...] Read more.
Hand gestures are essential for interaction in augmented and virtual reality (AR/VR), allowing users to intuitively manipulate virtual objects and engage with human–machine interfaces (HMIs). Accurate gesture recognition is critical for effective task execution. However, users often encounter difficulties due to the lack of immediate and clear feedback from head-mounted displays (HMDs). Current tracking technologies cannot always guarantee reliable recognition, leaving users uncertain about whether their gestures have been successfully detected. To address this limitation, haptic feedback can play a key role by confirming gesture recognition and compensating for discrepancies between the visual perception of fingertip contact with virtual objects and the actual system recognition. The goal of this paper is to compare a simple vibrotactile ring with a full glove device and identify their possible improvements for a fundamental gesture like pinching and fine moving of objects using Microsoft HoloLens 2. Where the pinch action is considered an essential fine motor skill, augmented reality integrated with haptic feedback can be useful to notify the user of the recognition of the gestures and compensate for misaligned visual perception between the tracked fingertip with respect to virtual objects to determine better performance in terms of spatial precision. In our experiments, the participants’ median distance error using bare hands over all axes was 10.3 mm (interquartile range [IQR] = 13.1 mm) in a median time of 10.0 s (IQR = 4.0 s). While both haptic devices demonstrated improvement in participants precision with respect to the bare-hands case, participants achieved with the full glove median errors of 2.4 mm (IQR = 5.2) in a median time of 8.0 s (IQR = 6.0 s), and with the haptic rings they achieved even better performance with median errors of 2.0 mm (IQR = 2.0 mm) in an even better median time of only 6.0 s (IQR= 5.0 s). Our outcomes suggest that simple devices like the described haptic rings can be better than glove-like devices, offering better performance in terms of accuracy, execution time, and wearability. The haptic glove probably compromises hand and finger tracking with the Microsoft HoloLens 2. Full article
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14 pages, 242 KiB  
Article
Attention-Deficit/Hyperactivity Disorder as a Mediating Variable for Invalid Baseline Profiles on the ImPACT
by Andre Petrossian, Louise A. Kelly, Rachel N. Casas, Jennifer M. Twyford, Michael A. McCrea, Thomas McAllister, Steven P. Broglio, Holly Benjamin, Thomas Buckley, Stefan Duma, Joshua Goldman, April Hoy, Jonathan Jackson, Thomas Kaminski, Christina Master, Christopher Miles, Nicholas Port and Adam Susmarski
Healthcare 2025, 13(13), 1579; https://doi.org/10.3390/healthcare13131579 - 1 Jul 2025
Viewed by 388
Abstract
Background: Individuals with ADHD may perform poorly on tasks targeting executive functioning skills such as the ImPACT, which requires the test-taker to employ judgement in non-routine situations Objective: To determine whether ADHD serves as a mediating variable for increasing the likelihood of an [...] Read more.
Background: Individuals with ADHD may perform poorly on tasks targeting executive functioning skills such as the ImPACT, which requires the test-taker to employ judgement in non-routine situations Objective: To determine whether ADHD serves as a mediating variable for increasing the likelihood of an invalid score. Materials and Methods: A total of 39,140 collegiate athletes and United States military cadets consented to the Concussion Assessment, Research, and Education (CARE) Consortium study. Participants completed the CARE Baseline Packet which included various sections through which study participants provide self-report data, including demographic, personal, and family history sections. The personal history portion of the CARE Baseline Packet addressed the participant’s neurological history, including self-reported diagnosis of ADHD and history of traumatic brain injury. Variables utilized for the current study included age, gender, race, ethnicity, the participant’s primary college sport, use of mouthguards for athletes competing in sports requiring them, and the presence of an ADHD diagnosis. Participants responded to a question, inquiring if they had ever been diagnosed by a medical professional with ADHD, ultimately producing a dichotomous yes/no response. Results: We found that participants with ADHD were more likely to produce invalid baseline scores (ß = −0.884; p < 0.001). Similar results were found when controlling for sex, race, age, sport played, mouthguard use, and number of previous concussions (ß = −0.786; p < 0.001). Sex, race, sport played, and mouthguard use each played a significant role in determining profile validity, independent of ADHD diagnosis. With ADHD removed from the model, age negatively affected the likelihood of a valid score (ß = −0.052; p = 0.048). Conclusions: Our study suggests that the relationship between age and ImPACT validity is explained by the presence of ADHD. Results support adjusting ImPACT’s validity thresholds for individuals with ADHD. Full article
12 pages, 496 KiB  
Article
Comparison of Physical Activity Patterns Between Individuals with Early-Stage Alzheimer’s Disease and Cognitively Healthy Adults
by Léonie Moll, Michèle Häner, Roland Rössler and Sabine Krumm
J. Dement. Alzheimer's Dis. 2025, 2(3), 23; https://doi.org/10.3390/jdad2030023 - 1 Jul 2025
Viewed by 250
Abstract
Background: Physical activity (PA) has been shown to prevent Alzheimer’s disease (AD) by reducing amyloid accumulation, lowering inflammatory factors, and increasing hippocampal grey matter. While high lifetime PA engagement is associated with a reduced risk of AD, the relationship between specific types of [...] Read more.
Background: Physical activity (PA) has been shown to prevent Alzheimer’s disease (AD) by reducing amyloid accumulation, lowering inflammatory factors, and increasing hippocampal grey matter. While high lifetime PA engagement is associated with a reduced risk of AD, the relationship between specific types of PA and early-stage AD remains unclear. As AD primarily affects cognitive function before physical capabilities, PA engagement—an important factor in PA—needs further investigation. Objectives: This study explores the potential association between current participation in open-skill sports (OSSs) versus closed-skill sports (CSSs) and early-stage AD. Methods: The sample (N = 128) included a cognitively healthy (HC, n = 78) group and an Alzheimer’s disease (AD) group, combining amnestic mild cognitive impairment due to AD patients (n = 22) and early-stage Alzheimer’s dementia patients (n = 28), reflecting the continuum of progression from aMCI to dAD (n = 50). PA was assessed with the Physical Activity Scale for the Elderly questionnaire, specifically focusing on PA within the last seven days. The statistical analyses included Mann–Whitney U tests and backwards stepwise logistic regression models. Results: Key predictors of group classification (AD vs. NC) included sex, high frequency of PA, and high duration of PA, each for the last seven days. Participation in OSS was significantly associated with medium PA frequency, high PA duration, both within the last seven days, and age, but not with diagnostic status. No statistically significant differences in PA levels (OSSs or CSSs) executed within the last seven days were observed between the AD and HC groups. Conclusions: Participation in OSSs or CSSs within the last seven days was only a marginally significant predictor of AD vs. HC status, and a diagnosis of AD was not predictive of OSS participation within the last seven days. Given the protective role of PA in AD, future research should aim to identify specific PA types that effectively support cognitive health in older adults with early cognitive decline. Full article
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35 pages, 1600 KiB  
Article
Managerial Mastery or Mere Misperception? Exploring the Dunning–Kruger Effect in Agricultural Businesses
by Mpumelelo Longweni and Aloe Meintjes
Sustainability 2025, 17(13), 5951; https://doi.org/10.3390/su17135951 - 28 Jun 2025
Viewed by 519
Abstract
Misplaced confidence disguised as competence can lead to broad business blunders. The Dunning–Kruger effect (DKE) is an infamous illusory superiority cognitive bias in which people who perform poorly in certain skills erroneously perceive their task execution as superior to the performance of others. [...] Read more.
Misplaced confidence disguised as competence can lead to broad business blunders. The Dunning–Kruger effect (DKE) is an infamous illusory superiority cognitive bias in which people who perform poorly in certain skills erroneously perceive their task execution as superior to the performance of others. Although it is a metacognitive phenomenon with implications for various domains, it is yet to be directly investigated with managers. The purpose of this study is to bridge the research gap by qualitatively exploring the DKE’s manifestation among managers through 20 semi-structured interviews in agricultural businesses. We found that the DKE manifests at all levels of management; however, it seems that lower-level managers are more susceptible to this cognitive bias. We also present a conceptual framework that highlights the various antecedents and consequences of the DKE, based on our content analysis. This study presents a novel domain affected by the DKE, which was discovered by an unconventional methodological approach. Through the recommendations made, the study also contributes to the SDGs and sustainable leadership and management in agricultural businesses. Full article
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16 pages, 239 KiB  
Article
The Correspondence Between Executive Functioning and Academic Achievement Among Children with Prenatal Alcohol Exposure
by Kristene Cheung, Susan Doyle, Kylee Clayton, Ana Hanlon-Dearman, Jo Ann Unger, Caelan Budhoo and Alyssa Romaniuk
Children 2025, 12(7), 842; https://doi.org/10.3390/children12070842 - 26 Jun 2025
Viewed by 255
Abstract
Background/Objectives: Canadian guidelines for diagnosing fetal alcohol spectrum disorder (FASD) strongly recommend using direct measures to assess brain domains whenever possible. Executive functioning, one of the brain domains assessed, can be measured using direct and indirect measures; however, research has found discrepancies [...] Read more.
Background/Objectives: Canadian guidelines for diagnosing fetal alcohol spectrum disorder (FASD) strongly recommend using direct measures to assess brain domains whenever possible. Executive functioning, one of the brain domains assessed, can be measured using direct and indirect measures; however, research has found discrepancies between these two forms of assessment and has not examined this relationship using ratings from the newest version of one of the most commonly used indirect measure of executive functioning, the second version of the Behavior Rating Inventory of Executive Functioning (BRIEF2). Academic achievement may also help explain discrepancies between these forms of assessment, especially in indirect executive functioning skills at school, because many of the items on the BRIEF2 Teacher Form are related to school skills. This study aimed to examine the relationship between direct measures of executive functioning, indirect measures of executive functioning, and academic achievement. Methods: Charts of 74 children who completed an FASD diagnostic assessment in Canada were included in this study (61% males; 58% with FASD; Mage = 11.77). Direct and indirect measures of executive functioning across settings and academic achievement were assessed. Results: Few correlations between corresponding BRIEF2 and direct measures of executive functioning were significantly associated. There were several significant correlations between academic achievement and (a) educator ratings on the BRIEF2 and (b) direct measures of executive functioning. None of the caregiver ratings on the BRIEF2 were significantly associated with academic achievement. Conclusions: The results suggest that academic performance is related to BRIEF2 ratings of executive functioning skills at school and direct measures of executive functioning. Aside from a few exceptions, direct and indirect measures of the same executive functioning skill were not correlated. Full article
(This article belongs to the Section Pediatric Neurology & Neurodevelopmental Disorders)
15 pages, 693 KiB  
Article
Compensatory Relation Between Executive Function and Fluid Intelligence in Predicting Math Learning
by Marina Vasilyeva, Linxi Lu, Kennedy Damoah and Elida V. Laski
Educ. Sci. 2025, 15(7), 790; https://doi.org/10.3390/educsci15070790 - 20 Jun 2025
Viewed by 493
Abstract
Math learning is a key educational goal, and one marked by substantial individual differences even in the earliest grades. Although considerable research has examined the extent to which domain-general processes, such as executive functions and fluid intelligence, contribute to this variability, there is [...] Read more.
Math learning is a key educational goal, and one marked by substantial individual differences even in the earliest grades. Although considerable research has examined the extent to which domain-general processes, such as executive functions and fluid intelligence, contribute to this variability, there is a notable gap in understanding how they may interact to predict early math learning. In particular, prior work had not examined potential moderating effects whereby the relation between executive functions and math outcomes depends on a child’s fluid intelligence, and vice versa. The current study addressed this gap by examining the math skills in Russian first-graders (N = 160) as a function of fluid intelligence (measured with Raven’s matrices) and various components of executive functions. Consistent with prior research, the results revealed the main effects of Raven’s scores, verbal working memory, and the control component of executive function (a composite of inhibition and cognitive flexibility scores) on math growth. Importantly, extending previous research, the study found that both memory and control components of executive function interacted with fluid intelligence. Specifically, executive function had a stronger positive effect on math learning for children with lower levels of fluid intelligence. The implications for intervention research and educational practice are discussed. Full article
(This article belongs to the Section Education and Psychology)
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28 pages, 3350 KiB  
Article
Designing Gamified Intergenerational Reverse Mentorship Based on Cognitive Aging Theory
by Sijie Sun
Multimodal Technol. Interact. 2025, 9(6), 64; https://doi.org/10.3390/mti9060064 - 19 Jun 2025
Viewed by 708
Abstract
With the intensification of population aging, elderly individuals face significant barriers in learning digital skills, leading to a widening digital divide. Based on Cognitive Aging Theory, this study proposes and validates an original paradigm called Structured Gamified Intergenerational Digital Reverse Mentorship to enhance [...] Read more.
With the intensification of population aging, elderly individuals face significant barriers in learning digital skills, leading to a widening digital divide. Based on Cognitive Aging Theory, this study proposes and validates an original paradigm called Structured Gamified Intergenerational Digital Reverse Mentorship to enhance digital literacy among the elderly. Cognitive Aging Theory suggests that due to declines in memory, attention, and executive function, older adults encounter challenges when learning new technologies, while gamified learning combined with intergenerational interaction can help reduce cognitive load and increase learning motivation. This study designed a collaborative gamified digital reverse mentorship application, “Digital Bridge”, and employed a randomized controlled trial method, assigning 90 participants aged 60 and above into three groups: the traditional digital mentorship group (Group A), the independent gamified learning group (Group B), and the collaborative gamified digital mentorship group (Group C). Each intervention session lasted 30 min and was conducted in a controlled environment. Experimental results showed that Group C significantly outperformed Groups A and B in digital skill acquisition, user experience, and learning motivation (p < 0.001), indicating that the combination of gamified learning and intergenerational interaction effectively enhances learning interest, reduces learning anxiety, and improves skill transferability. This study provides a new approach to elderly digital literacy education and offers theoretical and practical support for the design of future age-friendly digital learning tools. Full article
(This article belongs to the Special Issue Video Games: Learning, Emotions, and Motivation)
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