Search Results (727)

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

The contemporary digital era has fundamentally reshaped pupil education. It has transformed learning into a dynamic environment with enhanced access to information. The focus shifts to the educator, who must employ teaching strategies, practices, and methods to engage and motivate the pupils. New possibilities are emerging for adopting active pedagogical approaches. One example is the use of educational online escape games. In the theoretical part of this paper, we present online escape games as a tool that broadens pedagogical opportunities for schools in primary school chemistry education. These activities are known to foster pupils’ transversal or soft skills. We investigate the practical dimension of implementing escape games in education. This pilot study aims to analyse primary school teachers’ perceptions of online escape games. We collected data using Q methodology and conducted the Q-sort through digital technology. Data analysis utilised both the PQMethod programme and ChatGPT 4-o, with a subsequent comparison of their respective outputs. Although some numerical differences appeared between the ChatGPT and PQMethod analyses, both methods yielded the same factor saturation and overall results. Full article

Background/Objectives: This study aimed to investigate the association between serum ferritin levels and functional impairment in children with Attention Deficit Hyperactivity Disorder (ADHD). In addition, we investigated whether this relationship remained significant after controlling for core symptom severity and examined the correlations between ferritin levels and ADHD symptom levels. Methods: The sample included 88 children aged 6–13 years: 44 diagnosed with ADHD and 44 healthy controls (HCs) matched for age and sex. ADHD symptom severity was assessed using Turgay’s DSM-IV-Based ADHD and Disruptive Behavior Disorders Screening Scale (T-DSM-IV-S; parent-report) and the Clinical Global Impression—Severity (CGI-S) scale (clinician-rated). Functional impairment was measured using the Weiss Functional Impairment Rating Scale—Parent Report (WFIRS-P). Serum ferritin levels were determined through venous blood samples. Statistical analyses included group comparisons, Spearman correlations, and partial correlations controlling for symptom severity. Results: Children with ADHD had significantly lower serum ferritin levels and higher levels of both symptom severity and functional impairment compared to HCs. Ferritin levels were negatively correlated with ADHD symptom severity and with functional impairment in the Life Skills domain. However, after controlling for ADHD symptom severity, the association with Life Skills was no longer statistically significant. Conclusions: Ferritin levels were found to be associated with both ADHD symptom severity and functional impairment in the Life Skills domain. However, this relationship was not independent of symptom severity, suggesting that core ADHD symptoms may mediate the impact of iron status on daily functioning. Due to the study’s limitations (e.g., cross-sectional design, small sample size, gender imbalance, and lack of inflammatory and dietary data), our findings should be interpreted with caution, as they do not establish causality or resolve the ongoing inconsistencies in the literature. These results underscore the relevance of iron metabolism in the clinical presentation of ADHD and highlight the need for future research to determine whether improving iron status could serve as an adjunctive strategy in the management of functional impairments in this population. Full article

Nursing students often face emotional challenges related to death and dying, affecting their psychological well-being, emotional intelligence, and academic success. Cultural and educational factors may influence how they experience and manage these stressors. This study aimed to compare fear of death, emotional intelligence, coping with death, and academic burnout among second-year nursing students in Spain and Portugal to identify cross-cultural differences. A cross-sectional study was conducted among 174 second-year nursing students from the University of Extremadura (Spain) and the University of Évora (Portugal) during the 2023/2024 academic year. The instruments used included the Collett–Lester Brief Fear of Death Scale, the Trait Meta-Mood Scale—24 ítems, the Bugen’s Coping with Death Scale, and the Maslach Burnout Inventory—Student Survey. Descriptive statistics were calculated, and group comparisons were performed using independent samples t-tests and Welch’s t-tests, depending on variance homogeneity. A two-way ANOVA was also conducted to explore interactions between gender and nationality. The Spanish sample comprised 86 women and 21 men, and the Portuguese sample included 58 women and 9 men. The mean age across the sample was 21.5 years (SD = 4.15). No significant differences were observed in fear of death or emotional intelligence between the two groups. However, Portuguese students showed significantly better coping with death, but also higher academic burnout and cynicism. Spanish students reported greater perceived efficacy. Although emotional intelligence and death anxiety were similar, Portuguese students demonstrated stronger coping skills but experienced more burnout. This suggests that coping alone may not buffer academic stress, emphasizing the need for culturally tailored interventions to enhance emotional readiness and reduce burnout. Full article

Despite the progressive development of modern technology, there is a lack of adequate and reliable training and information materials. Analyses carried out in this area show that most drivers do not have the skills to use safety systems or acquire these skills while driving. Drivers often demonstrate an incomplete understanding of them and overestimate their skills, which can jeopardize road safety. In this context, the authors of the paper set out to develop a model for evaluating the effectiveness of practical training using a high-end simulator. The research goal of the paper was to objectively measure drivers’ progress in operating safety systems after receiving practical training conducted in the AS1200-6 driving simulator located at the Motor Transport Institute. The main findings indicate that the innovative model was highly effective, with 81% of participants achieving a level rated as “acceptable” or “very good”. The model enabled more accurate and objective assessments of skills in comparison with the traditional subjective assessment of trainers, especially where driver progress was not clearly evident. The results suggest that combining the data model with trainer evaluation can be an effective evaluation mechanism in ADAS training. Full article

As generative AI tools become increasingly embedded in education, their role in supporting student learning remains both promising and contested. These cross-continental multiple case studies explore how integrating AI into classroom-based creative projects can move students from intimidation to meaningful engagement, comprehension, and retention of course content. Drawing on data from four international university classrooms—in the USA, UK, Canada, and Australia—this mixed-methods study examines students’ experiences as they collaboratively created comic books using generative AI. Each instructor embedded the assignment within their own pedagogical context, enabling cross-institutional comparison of AI’s educational potential. Findings highlight a shared trajectory: students initially approached AI with uncertainty or overconfidence, but developed nuanced understandings of its capabilities through experimentation, reflection, and collaboration. The process of creating narrative-driven visual outputs required students to synthesize theoretical material, communicate effectively in teams, and creatively solve problems—fostering both cognitive and interpersonal learning. Students reported deeper comprehension of academic content and greater confidence using AI tools critically and ethically. This study concludes that when framed as a collaborative partner rather than a replacement for human thinking, AI can support deeper learning experiences. It also suggests that creative, team-based projects can demystify AI and build essential future-facing skills. Full article

Background/Objective: This study aims to evaluate the predictive performance of three supervised machine learning algorithms—decision tree (DT), support vector machine (SVM), and k-nearest neighbors (KNN) in forecasting key visual skills relevant to rhythmic gymnastics. Methods: A total of 383 rhythmic gymnasts aged 4 to 27 years were evaluated in various sports centers across Madrid, Spain. Visual assessments included clinical tests (near convergence point accommodative facility, reaction time, and hand–eye coordination) and eye-tracking tasks (fixation stability, saccades, smooth pursuits, and visual acuity) using the DIVE (Devices for an Integral Visual Examination) system. The dataset was split into training (70%) and testing (30%) subsets. Each algorithm was trained to classify visual performance, and predictive performance was assessed using accuracy and macro F1-score metrics. Results: The decision tree model demonstrated the highest performance, achieving an average accuracy of 92.79% and a macro F1-score of 0.9276. In comparison, the SVM and KNN models showed lower accuracies (71.17% and 78.38%, respectively) and greater difficulty in correctly classifying positive cases. Notably, the DT model outperformed the others in predicting fixation stability and accommodative facility, particularly in short-duration fixation tasks. Conclusion: The decision tree algorithm achieved the highest performance in predicting short-term fixation stability, but its effectiveness was limited in tasks involving accommodative facility, where other models such as SVM and KNN outperformed it in specific metrics. These findings support the integration of machine learning in sports vision screening and suggest that predictive modeling can inform individualized training and performance optimization in visually demanding sports such as rhythmic gymnastics. Full article

The wide availability of sensor data stored in multiple formats makes it difficult to reuse in other applications. We consider the problem of extracting sensor data from unstructured and semi-structured texts using Large Language Models. With careful prompt crafting, we have been able to establish a strict JSON structure which can be further processed with automated ease. We establish a workflow that enables the extraction of data using GPT-4, Llama 3, Mistral and Falcon models, and we show that while the closed-source GPT-4 model is generally leading in conversion efficiency, other open-source models can follow this if given appropriate data structures. We define new measures to simplify the comparison, and we present a multi-purpose workflow for sensor data extraction. We observe that some of the smaller models are incapable of correctly extracting data from freeform text but are skilled in processing tabular data. On the other hand, larger models are more robust and avoid conversion mistakes more easily. Full article

Background/Objectives: Developmental disabilities substantially affect the daily lives of children and their families. Although interest in examining the developmental profiles of children with various disabilities has grown, few studies have systematically compared them. This study aimed to characterize the developmental profiles of preschool-aged children with different disabilities. It was hypothesized that developmental profiles would differ depending on the type of developmental disability. Methods: A cross-sectional study was conducted. Scores on the Battelle^® Developmental Inventory, 2nd Edition (BDI−2) were retrieved for a non-probabilistic convenience sample of 46 children diagnosed with Down syndrome (DS) (n = 22), global developmental delay (GDD) (n = 17), and developmental language disorder (DLD) (n = 7) upon completion of an early intervention program. Developmental quotients (DQs) for the overall BDI−2 and for each domain were determined. Results: The children’s mean age was 42.39 ± 5.23 months (range: 30–57). Significant differences were observed among groups with regard to global DQ and all domain-specific DQs (p ≤ 0.01). The GDD group demonstrated the highest DQs across all domains and globally, in comparison to the other groups. Conversely, children with DS had substantially lower DQs across all domains and globally compared to those with GDD, and in the motor and communication domains compared to children with DLD. Conclusions: These findings underscore the importance of early intervention strategies to improve communication in children with DS and highlight the need for regular assessments to monitor progress and identify potential limitations, particularly during the preschool-to-school transition. Additionally, specialists should advise parents of children with DLD to adopt specific behaviors that support the development of their children’s social, adaptive, and language skills. Full article

This article presents a comparison of two qualitative case studies. The first case study is a partnership group involving two urban secondary school teachers working with one engineer and one education faculty member where they implemented several science, technology, engineering, and mathematics (STEM) lessons over the course of an academic year. The second case study is a partnership group involving undergraduate college students working together to build a data collection device attached to a high-altitude balloon to answer a scientific question or solve an engineering problem and translate the project into engaging lessons for a K-12/secondary student audience. The studies employed a socio-cultural theoretical framework as the lens to examine the individuals’ perspectives, experiences, and engineering meaning-making processes, and to consider what these meant to the partnership itself. The methods included interviews, focus groups, field notes, and artifacts. The analysis involved multi-level coding. The findings indicated that the strength of the partnership (pre, little p, or big P) among participants influenced the strength of the secondary engineering lessons. The partnership growth implications in terms of K-12/secondary and collegiate engineering education included the engineering lesson strength, partnership, and engineering project sustainability The participant partnership meanings revolved around lesson creation, incorporating engineering ideas into the classroom, increasing communication, and increasing secondary students’ learning, while tensions arose from navigating (not quite negotiating) roles as a team. A call for attention to school–university partnerships and the voices heard in engineering partnership building are included since professional skills are becoming even more important due to advances in artificial intelligence (AI) and other technologies. Full article

Objectives: The primary objective of this study was to determine whether motor disorders are significantly more prevalent in children with Autism Spectrum Disorder (ASD) without co-occurring genetic or neurological conditions compared to neurotypical children. Another aim was to explore the applicability of the MABC-2 test for assessing motor skills in a Polish cohort of children with ASD. Additionally, this study sought to develop a basic framework for motor skill assessment in children with autism. Methods: This study included 166 Caucasian children, both sexes, aged 5–12 years, without intellectual disability (IQ ≥ 70), without concomitant genetic or neurological disorders, particularly epilepsy or cerebral palsy. The study group consisted of children with ASD (n = 71), and the control group consisted of neurotypical children (n = 95). The participants were assessed with the Movement Assessment Battery for Children–second edition (MABC-2), MABC-2 checklist and the Developmental Coordination Disorder Questionnaire (DCDQ), used as a reference point. Results: The children with ASD obtained significantly lower MABC-2 test results in all subtests in comparison with the control group. The children with suspected or diagnosed coordination disorders were characterized by a significantly greater number of co-occurring non-motor factors than the other participants of this study. MABC-2 test showed greater consistency with DCDQ than with the MABC-2 questionnaire. Conclusions: Children with ASD present a lower level of manual dexterity and balance and greater difficulties in performing tasks, including throwing and catching, in comparison with neurotypical children. The MABC-2 test with the MABC-2 checklist and DCDQ questionnaire constitute a complementary diagnostic tool. Full article

Physiotherapy is challenged to be a profession with competencies in humanized skills and aptitudes. The need to integrate the learning of sustainable soft skills and humanistic education into higher education curricula has recently been emphasized to improve the capabilities of future healthcare professionals. Our objective was to psychometrically evaluate the Invisible Care, Well-being, Security, and Autonomy (CIBISA) scale in the context of physiotherapy through a pilot study involving students undertaking a degree in physiotherapy. The Delphi method was used over two rounds, and a focus group was convened to achieve a consensus on the adaptation of the CIBISA nursing scale to assess physiotherapy (CIBISA-F). For the psychometric validation of the CIBISA-F scale, the data-collection instruments used were the adapted CIBISA-F scale and two more validated scales related to soft skills. The scales were answered by 25 students at three different times, twice before the start of the clinical placements and once after. The results showed high internal consistency (α = 0.911), adequate reliability according to a Brand–Altman plot, and an adequate construct validity and sensitivity in comparison to other tools. The results of the present study suggest that this version of the CIBISA-F scale is a useful and reliable tool for measuring humanization skills in healthcare and physiotherapy students during their clinical placements, ensuring high-quality education. Full article

Chinese lacks explicit word boundary markers, creating frequent temporary segmental ambiguities where character sequences permit multiple plausible lexical analyses. Skilled native (L1) Chinese readers resolve these ambiguities efficiently. However, mechanisms underlying word segmentation in second language (L2) Chinese reading remain poorly understood. Our study investigated: (1) whether L2 readers experience greater difficulty processing temporary segmental ambiguities compared to L1 readers, and (2) whether visual boundary cues can facilitate ambiguity resolution in L2 reading. We measured the eye movements of 102 skilled L1 and 60 high-proficiency L2 readers for sentences containing temporarily ambiguous three-character incremental words (e.g., “音乐剧” [musical]), where the initial two characters (“音乐” [music]) also form a valid word. Sentences were presented using either neutral mono-color displays providing no segmentation cues, or color-coded displays marking word boundaries. The color-coded displays employed either uniform coloring to promote resolution of the segmental ambiguity or contrasting colors for the two-character embedded word versus the final character to induce a segmental misanalysis. The L2 group read more slowly than the L1 group, employing a cautious character-by-character reading strategy. Both groups nevertheless appeared to process the segmental ambiguity effectively, suggesting shared segmentation strategies. The L1 readers showed little sensitivity to visual boundary cues, with little evidence that this influenced their ambiguity processing. By comparison, L2 readers showed greater sensitivity to these cues, with some indication that they affected ambiguity processing. The overall sentence-level effects of color coding word boundaries were nevertheless modest for both groups, suggesting little influence of visual boundary cues on overall reading fluency for either L1 or L2 readers. Full article

The Hron River is a vital waterway in central Slovakia. In evaluating observed streamflow records for the past ~90 years, the Hron River displayed historically low hydrologic summer (April–May–June–July–August–September (AMJJAS)) streamflow for the 10-, 20-, and 30-year periods ending in 2020. When using self-calibrated Palmer Drought Severity Index (scPDSI) proxies developed from tree-ring records, skillful regression-based reconstructions of AMJJAS streamflow were developed for two gauges (Banská Bystrica and Brehy) on the Hron River. The recent observed droughts were compared to these reconstructions and revealed the Hron River experienced extreme drought in the 21st century. A further comparison of observed wet (pluvial) periods revealed that the most extreme robust streamflow periods in the observed record were frequently exceeded in the reconstructed (paleo) record. The Hron River has recently been experiencing decline, and we hypothesize that this decline may be associated with anthropogenic influences, the natural climatic cycle, or the changing climate. Full article

Background: Many studies examine young adolescents’ motivation for physical activity (PA), but few explore the problem in depth, considering the self-assessment of sport skills or the impact of additional PA. Insufficient PA among adolescents is a significant global issue. This study aimed to analyze the differences in types of motivation, the self-assessment of sports skills, and overall fitness among young adolescents with regard to additional PA. Material and Methods: A sample of high school students (n = 355) was assessed using an MPAM-R questionnaire, a self-developed sport skills competency test, and an IFIS questionnaire. Results: There are significant differences in types of motivation between genders: girls achieved higher results in terms of appearance, whereas boys were mostly focused on enjoyment and competence. Additionally, participants who reported engaging in additional PA, regardless of gender, achieved higher results in nearly all types of motivation, except for social. The findings consistently highlight a strong emphasis on appearance among young adolescents. The self-assessments of sports skills and overall fitness were also higher in the group of participants with additional PA. The study revealed further differences between boys and girls in the assessment of tactical and technical skills. Boys rated themselves higher in team sports, whereas girls in individual activities such as gymnastics. Conclusions: These results provide new insights into teenagers’ motivations and self assessment of sport skills and can serve as a solid foundation for further research for developing activities aimed at increasing leisure-time PA among youth. Full article