Search Results (244)

Background/Objectives: Vertical jump is considered a reliable and valid method of assessing the level of muscular power and coordination across one’s lifespan. The main aim of the present study was to establish sex- and age-normative data for vertical jump outcomes in pre-school children. Methods: We recruited 411 boys and girls aged 3−6 years from four major cities in Croatia and Slovenia. Vertical jump was assessed with two tests: countermovement jump (CMJ) without and with arm swing using a reliable and valid Optojump measuring platform. Data were presented for the 5th, 15th, 25th, 50th (median), 75th, 90th, and 95th percentile. Results: No significant differences were observed in multiple vertical jump outcomes between boys and girls. The mean values for CMJ without and with arm swing between boys and girls were as follows: contact time (1.4 vs. 1.4 s/1.8 vs. 1.7 s), flight time (0.32 vs. 0.31 s/0.33 vs. 0.32), height (12.3 vs. 12.2 cm/13.0 vs. 12.5 cm), power (9.4 vs. 9.5 W/kg/9.3 vs. 9.1 W/kg), pace (0.7 vs. 0.7 steps/s/0.6 vs. 0.6 steps/s), reactive strength index (RSI; 0.10 vs. 0.09 m/s/0.08 vs. 0.08 m/s), and verticality (2.5 vs. 2.3/1.9 vs. 1.9). A gradual increase in all measures according to ‘age’ was observed (p for trend < 0.05). No significant ‘sex*age’ interaction was observed (p > 0.05). Conclusions: This is one of the first studies to provide sex- and age-normative data for complete vertical jump outcomes in pre-school children. These data will serve as an avenue for monitoring and tracking motor development in this sensitive period. Full article

Parental school involvement (PSI) is an important contributor to children’s academic and overall positive development. Such activities as discussing schoolwork and tracking progress can boost children’s motivation and achievements. Although the multifaceted nature of PSI is widely recognized, there are limited reliable measures that comprehensively capture all its dimensions, particularly for children and adolescents. This study aims to develop a measure for assessing children and adolescents’ perceptions of parental involvement based on parent- and teacher-validated self-report measures—the Parental School Involvement Questionnaire—Children’s version (PSIQ-CV). A total of 537 children and adolescents (M_Age = 9.64, SD_Age = 2.43), mainly female (52.8%), from the south of Portugal participated in this study. An exploratory factor analysis (EFA, n = 150) and a confirmatory factor analysis (CFA, n = 387) were carried out. The EFA indicated a three-factor solution (i.e., support in learning activities, parent–school communication, and supervision), supported by the CFA, with good quality-of-fit indices (χ² = 225; df = 101; χ²/df = 2.23; CFI = 0.91; TLI = 0.89; RMSEA = 0.060 [CI: 0.049–0.070]). Our data confirmed that the PSIQ-CV has robust psychometric properties, with acceptable reliability and validity. The PSIQ-CV can be considered a relevant and valid tool for measuring the perception of parental school involvement among children and adolescents, in line with Epstein’s theoretical model, and useful for both researchers and practitioners. Full article

Promoting sustainable lifestyles through early interventions in schools is increasingly recognized as a critical component of public health and educational policy. Sustainable development, as outlined by the United Nations Sustainable Development Goals (SDGs), particularly Goal 3 (Good Health and Well-being) and Goal 4 (Quality Education), calls for integrating health-promoting behaviors into all aspects of life, including school settings. Active breaks (ABs) could represent a promising strategy to counteract these effects. This study assessed the impact of ABs on the attention of fifth-grade children, aiming to promote both immediate cognitive benefits and long-term health. A total of 32 primary children (age, 9.34 ± 0.77 years old), divided into an experimental group (AB sessions) and a control group, participated in this study. Attention and concentration were measured using the D2-R Test, while processing speed and distraction-related behaviors were tracked. Additionally, questionnaires assessed children’s and teachers’ perceptions. After five weeks, the experimental group demonstrated significant improvements in attention (p < 0.05), especially after high intensity ABs at 12:00. This study suggested the effectiveness of ABs as a tool for improving children’s attention and behavior in primary schools. The findings suggest that integrating physical activity breaks not only enhances cognitive function but also contributes to sustainable educational practices by fostering better learning environments and supporting children’s health and well-being. Full article

Promoting behavioral change in mobility is essential for sustainable urban development. This study evaluates the effectiveness of gamified challenges in fostering sustainable travel behaviors among high school students and teachers within the High School Challenge (HSC) 2024 campaign in Lecco, Italy. Over a 13-week period, participants tracked their commuting habits via gamified mobile application, Play&Go, that awarded points for sustainable mobility choices and introduced weekly challenges. Using behavioral (GPS-based tracking) and self-report data, we assessed the influence of challenge types, player characteristics (HEXAD Player Types, Big Five traits), and user experience evaluations on participation, retention, and behavior change. The results show that challenges, particularly those based on walking distances and framed as intra-team goals, significantly enhanced user engagement and contributed to improved mobility behaviors during participants’ free time. Compared to the 2023 edition without challenges, the 2024 campaign achieved better retention. HEXAD Player Types were more predictive of user appreciation than Personality Traits, though these effects were more evident in subjective evaluations than actual behavior. Overall, findings highlight the importance of tailoring gamified interventions to users’ motivational profiles and structuring challenges around SMART principles. This study contributes to the design of behaviorally informed, scalable solutions for sustainable mobility transitions. Full article

This study evaluates design effectiveness in Digital Game-Based Learning (DGBL) for primary health education through systematic teacher assessment of the iLearn4Health platform. Rather than measuring educational transformation, the research investigates how DGBL design principles influence user engagement patterns and platform usability as evaluated by education professionals. The study contributes to design optimization frameworks for primary school digital health education applications by examining the distinction between DGBL and superficial gamification approaches in creating engaging educational interfaces. The iLearn4Health platform underwent comprehensive design evaluation by 337 teachers across 24 schools in five European countries (Greece, Cyprus, Romania, Poland, and Spain). Teachers served as design evaluators rather than end-users, assessing platform engagement mechanisms through systematic interaction analysis. The study employed multiple statistical approaches—descriptive analysis, correlation analysis, ANOVA, regression modeling, and cluster analysis—to identify design engagement patterns and their predictors, tracking completion rates, progress trajectories, and interaction time as indicators of design effectiveness. Design evaluation revealed a distinctive bimodal engagement distribution, with 52.8% of teacher–evaluators showing limited platform exploration (progress ratio 0.0–0.2) and 35.3% demonstrating comprehensive design assessment (progress ratio 0.8–1.0). A strong positive correlation (r = 0.95, p < 0.001) between time spent and steps completed indicated that design elements successfully sustained evaluator engagement. Multiple regression analysis identified initial design experience as the strongest predictor of continued engagement (β = 0.479, p < 0.001), followed by country-specific implementation factors (Romania vs. Cyprus, β = 0.183, p = 0.001) and evaluator age (β = 0.108, p = 0.049). Cluster analysis revealed three distinct evaluator profiles: comprehensive design assessors (35.3%), early design explorers (52.8%), and selective feature evaluators (11.9%). Cross-national analysis showed significant variations in design engagement, with Romania demonstrating 53% higher average progress ratios than Cyprus (0.460 vs. 0.301, p < 0.01). Teacher evaluation validates effective design implementation in the iLearn4Health platform for creating engaging primary health education experiences. The platform successfully demonstrates DGBL design principles that integrate health concepts into age-appropriate interactive environments, distinct from gamification approaches that merely overlay game elements onto existing content. Identifying initial engagement as the strongest predictor of sustained interaction highlights the critical importance of onboarding design in determining user experience outcomes. While this study establishes design engagement effectiveness through educator assessment, actual educational transformation and student learning outcomes require future implementation studies with primary school populations. The design validation approach provides essential groundwork for subsequent educational effectiveness research while contributing evidence-based design principles for engagement optimization in digital health education contexts. Full article

Child and adolescent health plays a critical role in shaping future public health and intergenerational outcomes. In China, rising rates of myopia, obesity, mental health issues, and other common conditions highlight the need for continuous monitoring. Since 2016, the Chinese National Surveillance on Students’ Common Diseases and Risk Factors (CNSSCDRF) has provided comprehensive, nationwide data on student health. By 2022, the system had expanded to nearly all counties, tracking key indicators such as vision problems, overweight/obesity, dental caries, and health-risk behaviors across multiple administrative levels. This review outlines the surveillance methodology, including sampling, data collection, and analysis. Findings have directly informed school health policies and technical guidelines, supporting national goals such as those in the Healthy China 2030 Plan. Full article

The assessment of mathematical competence, particularly in real-world problem-solving contexts, has become increasingly crucial in high school educational evaluation. While traditional methods have shifted towards emphasizing problem-solving skills, they remain predominantly outcome-oriented, often failing to adequately capture the nuanced cognitive processes underlying students’ problem-solving behaviors. To address this gap, this study introduces a process-oriented assessment method leveraging eye-tracking technology. Fifty-three university students (primarily first- and second-year undergraduates) in China were recruited to solve six context-based mathematical problems of varying difficulty levels while wearing portable eye-tracking glasses, allowing for natural problem-solving behaviors in a paper-and-pencil test format. The study established a multidimensional model of eye movement features to evaluate problem-solving processes. Using China’s National College Entrance Examination (CNCEE) mathematics scores as the dependent variable, a Partial Least Squares Regression (PLSR) analysis achieved its best predictive performance (prediction R² of 0.271) based on multidimensional eye movement features when solving the most difficult problem. The first visual intake duration on problem-reading areas and key information regions emerged as significant contributors of the students’ CNCEE scores. These findings substantiate the potential of eye-tracking technology as a valuable tool for educational assessment, offering insights into the assessment of students’ mathematical competence and supporting the development of more comprehensive learning diagnosis and intervention strategies. Full article

Background/Objectives: Child undernutrition remains a critical public health issue in Nepal, especially in the rural district of Solukhumbu. This study aimed to assess the prevalence and clinical characteristics of undernutrition, dietary patterns, and related health indicators in school-aged children from the Shree Saraswoti Basic School in Phuleli. Methods: A descriptive, cross-sectional study was conducted between July and August 2022. Fifty-four children (51.8% boys; mean age 9.4 ± 2.1 years) were evaluated using anthropometry, clinical examination, hemoglobin measurement, and three-day 24 h dietary recall. Data were analyzed using descriptive and inferential statistics. Results: BMI z-scores indicated that 39% of children were at risk of acute undernutrition, and 2% were at risk of moderate acute undernutrition. After adjusting for altitude, 87% were classified as anemic. Diets were dominated by cereals and vegetables, with a very low intake of fruits and proteins and no dairy consumption. Dental caries affected 59% of participants. Girls presented slightly higher subcutaneous fat percentages; however, 14.8% of the children exceeded the recommended thresholds. A dietary assessment revealed poor eating habits, including excessive intake of simple carbohydrates and insufficient nutrient diversity. Although socioeconomic data were not directly collected, the findings reflect the typical context of the vulnerability of isolated mountain communities. Undernutrition indicators (BMI, clinical signs, anemia) were associated with poorer health outcomes. An unexpected moderate inverse correlation was found between BMI and both systolic (r = −0.601) and diastolic (r = −0.550) blood pressure. Conclusions: The findings reveal a high burden of undernutrition and anemia among children in Solukhumbu, linked to poor diet and structural vulnerability. Urgent, community-based interventions—including nutrition education, agricultural diversification, and improved healthcare access—are needed. Longitudinal monitoring is essential to track progress and design sustainable, multisectoral solutions. Full article

The present study aimed to develop and validate a brief, two-factor scale assessing career decision-making in high school students. The scale captures the following two key dimensions: (1) access to resources and exploration of career options and (2) career choice self-efficacy. Exploratory and confirmatory factor analyses were conducted on data from a sample of 778 Romanian high school students. The results supported a two-factor structure with good internal consistency and construct validity. Measurement invariance across gender revealed configural invariance, although metric and scalar invariance were not confirmed, suggesting potential differences in how male and female students interpret career decision constructs. No significant gender differences emerged in mean scores, yet students in technological educational tracks reported significantly greater access to career-related resources than their peers in theoretical and vocational profiles. These findings underscore the scale’s sensitivity to educational context and its potential utility in comparative studies and needs assessments. Future research should examine the scale’s predictive validity, longitudinal stability, and cross-cultural applicability. This tool offers a practical means to assess career decision-making processes and inform targeted interventions in educational and counselling settings. Full article

Innovation in science and technology arises from balanced supports for basic research, applied research, and societal implementation. However, changes in Japanese science policy that shifts toward top–down, evaluation-based, and competitive funding practices appear to have undermined Japan’s long-term research sustainability and innovation potential. The “selection and concentration” strategy (prioritization of specific research areas) and “competition principle”, combined with persistent reduction in Management Expenses Grants, have significantly altered Japan’s research environment for the worse. Together with these policy changes, the introduction of fixed-term contracts in academia has increased instability at both the institutional and the individual levels and has diminished the time and resources available for long-term basic research. Academic careers in science have become less attractive, as evidenced by declining doctoral student enrollment. These changes threaten the potential for scientific discoveries that lead to innovation. Although initiatives such as the introduction of University Research Administrators (URAs) have been implemented to support researchers, such efforts remain insufficient to counterbalance the systemic challenges faced by Japan’s research ecosystem. To re-establish a stable research environment, rethinking the strategy may be necessary, including restoration of stable institutional funding, sustainable career pathways, and balanced funding allocation to basic science that foster seeds for future innovation. Full article

Reading comprehension of connected texts is a key skill in high school education, yet students exhibit varying proficiency levels, particularly in inferential reasoning. This study investigates reading behavior by means of finger-tracking technique and question answering among Italian 10th, 11th, and 12th year high school students, analyzing their performance on different types of questions: synonymy and reference vs. inference-based questions. Despite similar reading times and lexical effects across grades, students’ accuracy in answering inferential questions reveals significant variability. Subsequently, we identify three comprehension profiles—poor, medium, and good comprehenders—with the first two groups showing markedly lower performance on inference-based questions. These findings suggest that schooling alone may not be sufficient for all students to develop strong inferential skills, and some may benefit from targeted instructional support. Full article

Research practice partnerships (RPP) between schools and researchers present a promising approach to co-creating scalable professional development for trauma-informed schools. This study used an RPP to develop an implementation model for a trauma-informed professional development program across 15 schools in a major urban school district. The primary study goal was to describe the RPP’s co-design processes used to develop and mount a large-scale professional development program with accompanying implementation supports. A secondary goal was to provide representative case examples of feedback loops for real-time improvements to the implementation strategies. A rapid mixed methods approach drawing on the principles of developmental evaluation was used to collect implementation process data including RPP team meeting notes and documents, informal discussions, training and survey completion reports, attendance, and implementation workshop exit tickets. These data were triangulated to conduct preliminary analyses which were then presented to RPP team members for collaborative review. Results highlighted seven co-designed elements of the TISE implementation support system—engaging and supporting school leadership, implementation teams, live and asynchronous training, ongoing consultation, delivering practical resources, relationship building, and continuous improvement. Exemplar feedback loops highlighted immediate improvements to implementation resources via exit tickets and enhanced strategies for building long-term school-level team effectiveness and engagement via attendance tracking. Full article

Digitalisation has evolved as a multidimensional phenomenon and impacts the business world. SMEs heavily invest in digital platform capabilities to keep track of digital transformation, enabling them to perform business model experimentation to generate and develop innovation. This paper explores the role of these two crucial growth-promoting variables in the performance of art and craft-based firm’s performance. Through this paper, the researchers contest the argument that, although digital platform capabilities accelerate business model experimentation for firm performance, competitive advantage plays a significant mediating role. Along with these arguments, this study also explores the role of digital platform capability in business model experimentation. It examines the mediating role of business model experimentation in the forming of a competitive advantage. The research model under examination belongs to the explorative school of research; hence, the researchers have used partial least square–structural equation modelling (PLS-SEM) on a sample of 211 Indian firms belonging to the category of art and craft-based businesses. The hypothesis testing results facilitate exciting insights about the direct and indirect effects of digital platform capabilities, business model experimentation, and competitive advantage on firm performance. In light of the research findings, policymakers, SME consultants, and managers may obtain practical insights in order to develop an intervention mechanism. Researchers working in this area will glean a fresh look at the antecedents of SME performance as this model is explorative; future research may explore the testing of the model in different geographic locations and industry contexts. Full article

Literature education is often justified by its presumed cognitive, social, and developmental benefits. However, little research has explored how students themselves perceive the relevance of literary reading in both educational and leisurely settings. This study surveyed 1641 Dutch upper-secondary students (grades 10 to 12) across various academic tracks. A self-completion questionnaire was used to assess students’ justifications for mandatory literary reading and their evaluations of 20 benefits associated with reading literature. Most students supported the government mandate to read literature in school, primarily justifying it by functional benefits, such as improving language skills and general reading proficiency. Cultural, social, and psychological justifications (e.g., fostering empathy or enhancing political awareness) were deemed less persuasive. Significant group differences emerged, with girls, 12th-grade students, and frequent leisure readers finding the benefits of literary reading more compelling than boys, 10th-grade students, and non-readers. Teachers tended to underestimate the persuasiveness of certain justifications, particularly those related to concentration and complex interpretive skills. The study shows that students predominantly view literature education through a qualification-oriented lens, emphasizing its instrumental value. Hence, literature education could place greater emphasis on fostering ethical awareness and social understanding to counter students’ predominantly functional perceptions of literary reading. Moreover, this study confirms the divide students experience between school-based and leisure reading: even enthusiastic readers rarely attribute more personally oriented justifications, such as relaxation and escapism, to school-based literature reading. Full article

The integration of advanced computational methods into precision medicine represents a transformative advancement in healthcare, enabling highly personalized treatment strategies based on individual genetic, environmental, and lifestyle factors. These methodologies have significantly enhanced disease diagnostics, genomic analysis, and drug discovery. However, rapid expansion in this field has resulted in fragmented understandings of its evolution and persistent knowledge gaps. This study employs a scientometric approach to systematically map the research landscape, identify key contributors, and highlight emerging trends in precision medicine. Methods: A scientometric analysis was conducted using data retrieved from the Scopus database, covering publications from 2019 to 2024. Tools such as VOSviewer and R-bibliometrix package (version 4.3.0) were used to perform co-authorship analysis, co-citation mapping, and keyword evolution tracking. The study examined annual publication growth, citation impact, research productivity by country and institution, and thematic clustering to identify core research areas. Results: The analysis identified 4574 relevant publications, collectively amassing 70,474 citations. A rapid growth trajectory was observed, with a 34.3% increase in publications in 2024 alone. The United States, China, and Germany emerged as the top contributors, with Harvard Medical School, the Mayo Clinic, and Sichuan University leading in institutional productivity. Co-citation and keyword analysis revealed three primary research themes: diagnostics and medical imaging, genomic and multi-omics data integration, and personalized treatment strategies. Recent trends indicate a shift toward enhanced clinical decision support systems and precision drug discovery. Conclusions: Advanced computational methods are revolutionizing precision medicine, spurring increased global research collaboration and rapidly evolving methodologies. This study provides a comprehensive knowledge framework, highlighting key developments and future directions. The insights derived can inform policy decisions, funding allocations, and interdisciplinary collaborations, driving further advancements in healthcare solutions. Full article