Search Results (19,897)

This study explores the integration of 3D printing technology by adult learners in Greek Second Chance Schools (SCS), institutions designed to address Early School Leaving and promote Lifelong Learning. Grounded in constructivist and experiential learning theories, the research examines adult learners’ attitudes toward 3D printing technology through a hands-on STEM activity in the context of teaching scientific literacy. The instructional activity was centered on a physics experiment illustrating Archimedes’ principle using a multimodal approach, combining 3D computer modeling for visualization and design with tangible manipulation of a printed object, thereby offering both digital and Hands-on learning experiences. Quantitative data was collected using a structured questionnaire to assess participants’ perception toward the 3D printing technology. Findings indicate a positive trend in adult learners’ responses, finding 3D printing accessible, interesting, and easy to use. While expressing hesitation about independently applying the technology in the future, overall responses suggest strong interest and openness to using emerging technologies within educational settings, even among marginalized adult populations. This work highlights the value of integrating emerging technologies into alternative education frameworks and offers a replicable model for inclusive STEM education and lays the groundwork for further research in adult learning environments using innovative, learner-centered approaches. Full article

General models of talent development have highlighted the importance of a community of practice to nurture talent potential, with recent studies refining factors that contribute to the developmental journey. In music, an early model described three phases of talent development, while current research has focused on transitions between these. Choral music research has investigated conductors’ expertise and choristers’ experiences, highlighting positive social impacts for children in addition to the development of choral skills. The purpose of this qualitative case study was to investigate talent development of 11 elite middle school choristers utilising interviews. Thematic analyses identified four themes and 10 sub-themes, demonstrating that choristers followed a developmental pathway similar to choral conductors, acquiring vocal competence and mastery, nurturing a sense of belonging to a choral community, participating in meaningful experiences, and becoming advanced choristers through intensive training. Chorister talent development was also linked to personality development, with transformation in choral identity leading to growth in personal confidence. This study extends research into choral talent development by documenting the voices of middle school children participating in an advanced choir, showing that high levels of performance can be achieved through expert choral coaching and without sacrificing the enjoyment of singing. Full article

Religion and partisanship remain deeply intertwined in contemporary American politics, especially in public debates on religious expression in state institutions. This study examined whether religious identity and behavior continue to influence public attitudes independently of party affiliation in a highly polarized environment. Drawing on the latest 2023–2024 Pew Religious Landscape Study, the analysis examined support for teacher-led Christian prayer in public schools—a constitutionally contentious issue—through survey-weighted logistic regression models. The models included key religious predictors—tradition, born-again identity, and church attendance—alongside controls for political ideology and party identification. While Republican partisanship is the single strongest predictor of support, religious identity retains a significant and independent effect. Evangelical Protestants, as well as highly observant individuals across traditions, consistently show greater support for school prayer than their less religious or differently affiliated co-partisans. These residual effects point to the persistence of religious subcultures within each party coalition. By identifying such within-party variation, this study contributes to broader debates on the evolving boundaries of secular governance and the complex interplay between religion and partisan identity. Full article

Against the backdrop of growing concerns over university students’ mental health worldwide, campus environments play a crucial role not only in shaping spatial experiences but also in influencing psychological well-being. However, the psychosocial mechanisms through which campus landscapes affect well-being remain insufficiently theorized. Drawing on survey data from 500 students across two Chinese universities, this study employs structural equation modeling (SEM) and interpretable machine learning techniques (XGBoost-SHAP) to systematically examine the interrelations among landscape perception, place attachment, perceived social acceptance, school belonging, and psychological well-being. The results reveal the following: (1) campus landscapes serve as the primary catalyst for fostering emotional identification (place attachment) and social connectedness (perceived social acceptance and school belonging), thereby indirectly influencing psychological well-being through these psychosocial pathways; (2) landscape perception emerges as the strongest predictor of well-being, followed by school belonging. Although behavioral variables such as the green space maintenance quality, visit frequency, and duration of stay contribute consistently, their predictive power remains comparatively limited; (3) significant nonlinear associations are observed between core variables and well-being. While the positive effects of landscape perception, place attachment, and school belonging exhibit diminishing returns beyond certain thresholds, high levels of perceived social acceptance continue to generate sustained improvements in well-being. This study advances environmental psychology by highlighting the central role of campus landscapes in promoting mental health and provides actionable strategies for campus planning. It advocates for the design of balanced, diverse, and socially engaging landscape environments to maximize psychological benefits. Full article

Despite the increased research on violence toward teachers and public policies aimed at protecting teachers from violence, knowledge of the factors contributing to teachers’ sense of safety at school remains limited. Drawing from socioecological theory, we examined the contributions of both teachers’, parents’, students’, and schools’ characteristics to teachers’ sense of feeling unsafe in school. Specifically, we examined teachers’ individual and work characteristics (sex, age, years of experience, and working in the regular classroom or not), their perceptions of school violence, and their relationships with students and their peers. At the school level, we examined the school size, poverty level, and school-level reports of parents’, students’, and teachers’ perception of the school climate and school violence. The sample consisted of 9625 teachers (73% female), 126,301 students, and 56,196 parents from 2116 schools with a low socioeconomic status in Chile. Descriptive statistics showed that most teachers do not feel afraid (72.9%) nor thought that their job was dangerous (74.6%). A hierarchical multivariate regression analysis and multilevel analyses showed that teachers with higher perceptions of feeling unsafe were females or reported being “other sex”, had fewer years of experience, worked mainly in the classroom, perceived a higher level of school violence, and had worse perceptions of peer relationships and teacher–student relationships. These teachers were mostly in schools with higher poverty levels, larger enrollment, and higher student-reported and parent-reported school violence compared to the rest of the sample of low-SES Chilean schools. We discuss the implications of these findings for preventive school interventions and programs regarding school violence and teacher turnover. Full article

Background: A short cervix in the second trimester significantly increases preterm birth risk, yet no reliable first-trimester prediction method exists. Current guidelines lack consensus on which women should undergo transvaginal ultrasound (TVUS) screening for cost-effective prevention. Therefore, it is vital to establish a highly accurate and economical method for use in the early stages of pregnancy to predict short cervix in mid-pregnancy. Methods: A total of 1480 pregnant women with singleton pregnancies and at least one risk factor for spontaneous preterm birth (<37 weeks) were recruited from January 2020 to December 2020 at the Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine. Cervical length was assessed at 20–24 weeks of gestation, with a short cervix defined as <25 mm. Feature selection employed tree models, regularization, and recursive feature elimination (RFE). Seven machine learning models (logistic regression, linear discriminant analysis, k-nearest neighbors, support vector machine, decision tree, random forest, XGBoost) were trained to predict mid-trimester short cervix. The XGBoost model—an ensemble method leveraging sequential decision trees—was analyzed using Shapley Additive Explanation (SHAP) values to assess feature importance, revealing consistent associations between clinical predictors and outcomes that align with known clinical patterns. Results: Among 1480 participants, 376 (25.4%) developed mid-trimester short cervix. The XGBoost-based prediction model demonstrated high predictive performance in the training set (Recall = 0.838, F1 score = 0.848), test set (Recall = 0.850, F1 score = 0.910), and an independent dataset collected in January 2025 (Recall = 0.708, F1 score = 0.791), with SHAP analysis revealing pre-pregnancy BMI as the strongest predictor, followed by second-trimester pregnancy loss history, peripheral blood leukocyte count (WBC), and positive vaginal microbiological culture results (≥10⁵ CFU/mL, measured between 11⁺⁰ and 13⁺⁶ weeks). Conclusions: The XGBoost model accurately predicts mid-trimester short cervix using first-trimester clinical data, providing a 6-week window for targeted interventions before the 20–24-week gestational assessment. This early prediction could help guide timely preventive measures, potentially reducing the risk of spontaneous preterm birth (sPTB). Full article

Despite the positive impact of culturally responsive social emotional learning (CR-SEL) in enhancing students’ academic achievement and emotional resilience, less is known about how it is employed in rural school settings. We employed a case study design to explore how rural transitional kindergarten (TK) teachers in California practice CR-SEL in their classrooms. Ten TK teachers from seven California rural schools were individually interviewed online. Results of the thematic analysis showed three major themes of CR-SEL practices: multicultural and critical perspective development, inclusive environment, and family engagement. Participants identified different strategies to teach CR-SEL practices in their classrooms. Findings extend our understanding of CR-SEL in practice, and provide practical and research implications for school psychologists, educators, and policymakers. Full article

Most educational buildings in the north of Italy, whether of dated or recent construction, were designed to comply with the thermal comfort and energy performance requirements set for the heating season due to limited use in the summer months. In the latest years, however, with greater frequency, school buildings have been used to host indoor summer activities, and, due to the warm temperature conditions and heat waves, indoor thermal discomfort is often experienced, with negative impacts on occupants’ task performance. Consequently, the need to guarantee adequate indoor thermal comfort in schools in the warm season is becoming a growing concern for local public authorities. In this context, this work examines a set of strategies for the enhancement of the energy performance and indoor thermal comfort of public school buildings in the cooling season. Thus, two case study public school buildings of dated and recent construction located in Bolzano, Italy, were analyzed and compared. This study shows the potential of passive and semi-passive measures in improving indoor thermal comfort in the spring–summer months and the limit beyond which mechanical cooling and ventilation systems are required to ensure adequate levels of indoor environmental quality and task performance in the warmest months. Full article

According to the World Health Organization, cardiovascular diseases, including cardiac arrhythmias, are the leading cause of death worldwide due to their silent, asymptomatic nature. To address this problem, early and accurate diagnosis is crucial. Although this task is typically performed by a cardiologist, diagnosing arrhythmias can be imprecise due to the subjectivity of reading and interpreting electrocardiograms (ECGs), and electrocardiograms are often subject to noise and interference. Deep learning-based approaches present methods for automatically detecting arrhythmias and are positioned as an alternative to support cardiologists’ diagnoses. However, these methods are trained and tested only on open datasets of electrocardiograms from Holter devices, whose results aim to improve the accuracy of the state of the art, neglecting the efficiency of the model and its application in a practical clinical context. In this work, we propose an efficient model based on a 1D CNN architecture to detect arrhythmias from smartwatch ECGs, for subsequent deployment in a practical scenario for the monitoring and early detection of arrhythmias. Two datasets were used: UMass Medical School Simband for a binary arrhythmia detection model to evaluate its efficiency and effectiveness, and the MIT-BIH arrhythmia database to validate the multiclass model and compare it with state-of-the-art models. The results of the binary model achieved an accuracy of 64.81%, a sensitivity of 89.47%, and a specificity of 6.25%, demonstrating the model’s reliability, especially in specificity. Furthermore, the computational complexity was 1.2 million parameters and 68.48 MFlops, demonstrating the efficiency of the model. Finally, the results of the multiclass model achieved an accuracy of 99.57%, a sensitivity of 99.57%, and a specificity of 99.47%, making it one of the best state-of-the-art proposals and also reconfirming the reliability of the model. Full article

Background: School vaccination programs (school-based and school-located) that include the human papillomavirus (HPV) vaccine have been implemented throughout the United States since 2009. Methods: We conducted a review of school HPV vaccination programs in PUBMED, Google Scholar, Web of Science, Ovid, Medline, and Embase and included peer-reviewed studies originating in the United States that focused on any aspect of HPV school vaccination programs. Results: Our review yielded 47 articles that fell into several categories: (1) parent and child perceptions, (2) school nurse perceptions, (3) development, (4) implementation, (5) outcomes, and (6) barriers and facilitators of HPV vaccination programs in schools. Conclusions: School vaccination programs including the HPV vaccine have been implemented successfully all over the United States. Overall, nurse, parent, and student perceptions are positive, but there are various barriers to program success. Successes and failures of school HPV vaccination programs should be examined to develop best practices to sustain and expand these impactful programs. Full article

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. Full article

Prior research has largely neglected the issue of violence perpetrated by teachers against students, even though evidence indicates its prevalence worldwide. Research has also overlooked teachers’ perspectives on these concerning phenomena, relying predominantly on student reports. To address this gap, this cross-sectional study used a sample of 214 teachers from six Hebrew-language and four Arabic-language middle and high schools across Israel (69.2% female; 61.2% older than 41 years) to predict teachers’ reports on teacher-to-student victimization based on teachers’ victimization by students and parents, school social climate, and three dimensions of the school organizational climate: interpersonal conflict at work, trust in the principal, and job socialization. Chi-square and t-tests were used to examine the bivariate associations between teacher-to-student victimization and the predictors, and a three-step hierarchical binary logistic regression was used to examine multivariate associations. Teachers who reported teacher-to-student victimization scored higher on interpersonal conflict at work, social climate, trust in the principal, and job socialization compared to those who did not report such violence. Binary logistic regression analysis predicting teacher-to-student victimization revealed that Arabic-speaking teachers were more likely to report such victimization compared to their Hebrew-speaking counterparts. Teachers who reported a less positive school climate and higher levels of interpersonal conflict in the workplace were far more likely to report incidents of teacher-to-student victimization. The study highlights key directions for practice to address teacher-to-student victimization, including the establishment of a more positive social and organizational climate, with an emphasis on the role of the school principal as a central component of this initiative. Full article

For decades, the U.S. college admissions process has utilized standardized exams as critical indicators of college readiness. With the onset of the COVID pandemic, the majority of 4-year universities implemented the Test-Optional policy to improve college access and enrollment. The Test-Optional policy allows prospective high school students to apply to institutions that have implemented this policy without a SAT or ACT score. This study examined the use of the Test-Optional policy and its relationship with early college success. Forward multiple regression examined which variables of High School GPA, Students of Color, First-Generation Status, Test-Optional, Pell Eligible, and Pre-College Credits best predict undergraduate first-year GPA. The results generated a five-variable model that accounted for 31% of the variability in first-year college GPA. High School GPA was the strongest predictor, while Test-Optional was not entered into the model. Binary logistic regression examined predictors of first-year college completion. Our results revealed the model including High School GPA, which tripled the odds of first-year completion. Again, Test-Optional was not included in the model. Although Students of Color and Pell Eligibility utilized Test-Optional significantly more than their peers, Test-Optional was not a significant predictor of first-year College GPA or first-year completion. Full article

School refusal behavior, defined as a child’s prolonged voluntary absence from school for reasons unrelated to illness and/or economic hardship, is a growing concern in Japan. The COVID-19 pandemic has worsened this issue by disrupting children’s lives. This review summarizes the prevalence, contributing factors, and health implications of school refusal, particularly in the context of COVID-19. A literature review of government reports and PubMed-indexed studies indicates that school refusal in Japan has been rising for eleven years, reaching a record 340,000 cases in 2023. Middle school students (6.7%) were the most affected, followed by elementary school students (2.1%). The pandemic intensified school-related, family-related, and child-related risk factors. School closures disrupted routines, reduced peer interactions, and increased social isolation, contributing to higher rates of anxiety and depression. Reports of suicides and mental health disorders among children have also surged. Family stressors, including economic hardship and parental mental health struggles, further exacerbate school refusal. Additionally, remote learning has widened socioeconomic disparities in access to education, leaving vulnerable children at greater risk. Addressing school refusal requires a multifaceted approach involving schools, families, healthcare providers, and policymakers. School-based interventions, mental health approach, and flexible educational programs would be essential. The Japanese government’s “COCOLO Plan” represents progress toward a more inclusive education system, and a comprehensive, interdisciplinary strategy is needed. Ensuring all children receive the necessary support to reengage with education is critical to overcoming the long-term challenges posed by school refusal. Full article

In rural Ghana, limited access to affordable, clean cooking fuels drives the need for decentralised waste-to-energy solutions. Anaerobic co-digestion (AcoD) offers a viable route for transforming organic residues into renewable energy, with the added benefit of improved process stability resulting from substrate synergy. This study aims to evaluate the technical feasibility and stabilisation challenges of AcoD, using locally available fruit waste and beet molasses at a secondary school in Bedabour (Ghana). Biological methane potential (BMP) assays of different co-digestion mixtures were conducted at two inoculum-to-substrate (I/S) ratios (2 and 4), identifying the highest yield (441.54 ± 45.98 NmL CH₄/g VS) for a mixture of 75% fruit waste and 25% molasses at an I/S ratio of 4. Later, this mixture was tested in a 6 L semi-continuous AcoD reactor. Due to the high biodegradability of the substrates, volatile fatty acid (VFA) accumulation led to acidification and process instability. Three low-cost mitigation strategies were evaluated: (i) carbonate addition using eggshell-derived sources, (ii) biochar supplementation to enhance buffering capacity, and (iii) the integration of a bioelectrochemical system (BES) into the AcoD recirculation loop. The BES was intended to support VFA removal and enhance methane recovery. Although they temporarily improved the biogas production, none of the strategies ensured long-term pH stability of the AcoD process. The results underscore the synergistic potential of AcoD to enhance methane yields but also reveal critical stability limitations under high-organic-loading conditions in low-buffering rural contexts. Future implementation studies should integrate substrates with higher alkalinity or adjusted organic loading rates to ensure sustained performance. These findings provide field-adapted insights for scaling-up AcoD as a viable renewable energy solution in resource-constrained settings. Full article