Search Results (8,555)

The rapid advancement of digital technology has necessitated a reevaluation of traditional educational methodologies, particularly in literature and visual arts. This study investigates the application of metaverse technology to integrate contemporary poetry and visual arts, aiming to enhance university-level education. The purpose is to develop a convergent teaching method that leverages the immersive and interactive capabilities of the metaverse. The research involves a joint exhibition project with students from Sangmyung University and international participants, incorporating a metaverse-based educational program. A sample of 85 students participated in the program, and their experiences were evaluated through surveys and focus group interviews (FGIs). The findings reveal significant correlations between content satisfaction and method satisfaction, underscoring the importance of engaging and interactive methods. The study also identifies technical challenges and provides insights for optimizing digital platforms for educational purposes. The implications suggest that integrating metaverse technology in arts education can significantly enhance creativity, critical thinking, and interdisciplinary skills, offering a sustainable and innovative approach to modern education. Based on these implications, this paper proposes methods for incorporating the insights gained from case analyses and implications into the design of educational programs. It is anticipated that this approach will contribute to enhancing the quality of convergence education in higher education institutions. Furthermore, it is expected that this program will serve as a starting point for the systematic implementation of integrated education and the use of digital platforms, thereby helping to reduce disparities in integrated education between countries. Full article

Objectives: Eating disorders (EDs) have emerged as a growing public health concern. However, the role of sleep in this context remains underexplored. The aim of this cross-sectional study was to determine the associations between sleep parameters and chronotype with ED risk in a sample of university students in Spain. Methods: ED risk was assessed via the Sick, Control, One stone, Fat, Food Questionnaire, and sleep quality was assessed via the Pittsburgh Sleep Quality Index. Other sleep parameters and chronotypes were self-reported. Sociodemographic, body composition, lifestyle, and depressive symptom data were collected. Logistic and linear regression models adjusted for the main confounders were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of the study associations. Results: A total of 403 students (70.2% female) aged 18 to 30 years participated in the study. Those reporting poor sleep quality (OR = 1.85, 95% CI 1.08–3.17, p = 0.025) and ≤6 h of night-time sleep duration (OR = 4.14, 95% CI 2.00–8.57, p < 0.01) were more likely to be at risk of EDs in the adjusted analyses. The association between night-time sleep duration and the risk of ED did not remain significant when we adjusted for sleep quality. In addition, an evening chronotype was associated with an increased risk of EDs (OR = 1.68, 95% CI 1.07–2.66, p = 0.039) only before adjustment for confounders. Conclusions: Among university students, poorer sleep quality was cross-sectionally associated with EDs. Future prospective studies are needed to examine whether promoting sleep quality may serve as an effective strategy for preventing the risk of EDs. Full article

As Sustainable Development Goals (SDGs) gain traction in Chinese society, fostering sustainable entrepreneurship among university students has emerged as a key priority for universities and governments. Methods for increasing students’ sustainable entrepreneurship skills and knowledge for the creation of sustainable startups have attracted substantial attention. This study constructs a moderated mediation model based on entrepreneurial cognition theory to investigate the mediating roles of opportunity identification and attitude in the relationship between sustainable entrepreneurship education and sustainable entrepreneurial intention among university students, in addition to the moderating effect of empathy. The study surveyed 307 students from universities in the Yangtze River Delta region and employed hierarchical regression analysis to test the hypotheses. The results indicate that sustainable entrepreneurship education enhances students’ sustainable entrepreneurial intention by fostering their opportunity identification and attitude, and this enhancement effect is stronger when their level of empathy is higher. These findings enrich entrepreneurial cognition and empathy theories within the context of sustainable entrepreneurship and offer valuable insights for universities and policymakers in developing strategies to support sustainable entrepreneurship among university students. Full article

Background: The number of late diagnoses of HIV remains very high in Poland, leading to a high proportion of patients developing and dying of HIV-related diseases. The main reason for this is the very low utilization of HIV testing. Our analyses aimed to investigate knowledge about the indications for HIV testing among medical university students, as well as identify their own HIV testing experiences. Material and methods: A cross-sectional survey study was designed to collect information on the students’ demographics and their experiences of HIV testing, as well as their knowledge of virus transmission and the indications for testing. Data were collected as part of the HIV_week@WUM project conducted at the Medical University of Warsaw in parallel with the 18th European AIDS Conference, which took place in Warsaw between 18 and 21 October 2023. Results: In total, 545 questionnaires were collected. The median age of the study participants was 20 (interquartile range (IQR): 19–22 years). The majority of respondents were as follows: women (67.5%), born in Poland (97.8%), and were attending the medical faculty (56.7%). Only 114 (21.43%) participants had ever been tested for HIV. For all modes of HIV transmission, most of the respondents overestimated the risk of acquiring HIV, but, at the same time, they had never been tested for HIV. Conclusions: Only one in five health sciences students has ever had a test for HIV, which is less than estimates for the general population of Warsaw. There is an ongoing need to popularize testing among future health care providers in order to address both the indications for testing for individuals and the better use of HIV testing in clinical practice. Full article

Professional development involves facing numerous challenges. It is a complex process, susceptible to personal aspects (e.g., health, happiness, productivity), but also contextual aspects (e.g., recognition of the complexity and unpredictability of the labor market, and of the need to have a positive impact on the community). The life design paradigm views individuals as active agents in their career construction. Although this approach strongly emphasizes individual agency, it also underscores the importance of addressing broader issues related to sustainability. Indeed, career counselling can stimulate actions that favor sustainable development, benefiting society and enhancing the well-being of all people. To this end, we developed a training to stimulate reflections on sustainable careers, sense of community, and sustainable behavior. The study involved 44 university students divided into an experimental (n = 22) and a control group (n = 22). The first group participated in 16 online activities, interspersed with three in-person meetings. After the training, the experimental group exhibited improvements in sustainable careers, sense of community, self-efficacy in implementing sustainable behavior, and the perceived importance of promoting sustainability. These findings suggest that career counselling activities can significantly increase the personal resources of university students, equipping them to contribute to society and promote a sustainable world. Full article

This study introduces a novel recommender system that integrates academic performance and socio-demographic variables to provide personalised and contextually relevant recommendations for university degree selection. The system aims to optimise the alignment between students’ profiles and potential academic programmes by utilising advanced machine learning models, including XGBoost, Random Forest, GLMNET, and KNN. The research addresses a critical gap identified in the literature, where most existing systems rely solely on academic data, neglecting the significant impact of socioeconomic factors on educational decision-making. The proposed system demonstrates superior predictive accuracy through rigorous cross-validation and hyperparameter tuning compared to simpler models, such as linear regression. The results show that integrating socio-demographic data enhances the relevance of the recommendations, supporting students in making more informed choices. This approach contributes to educational equity by ensuring that guidance is tailored to each student’s unique circumstances, aligning with the sustainable development goal of quality education. The findings highlight the value of incorporating a comprehensive data-driven approach to improve educational outcomes and support more equitable decision-making processes. Full article

Statistics modules are included in most university degrees, independent of the degree area, and this means that many students face these modules underprepared and struggle because of a lack of statistics knowledge. The Maths Support Centre (MSC) in the University College Dublin (UCD) provides support for various mathematics-related subjects, with statistics students being the second-largest cohort of visitors. The overall goal of this paper is to identify the common statistical issues students face during the transition from secondary education to tertiary education. The main data set for this study is the data from UCD students who have accessed the UCD MSC since 2015/16 for statistics support; the categorization of statistical concepts has been made with the statistics module description for each statistics subject at the Universidad Rey Juan Carlos (URJC). First, we conducted a categorization of statistical concepts taught in university (based on URJC’s catergorization); after that, UCD MSC tutor comments were categorized and validated, and subsequently descriptive analyses and text mining were used on the UCD MSC comments to achieve a deeper understanding of the statistical issues. The statistical issues presented were categorized as descriptive statistics (22.8%), probability (44%), statistical inference (29.2%), and statistical software (4%). Students struggled with material that was introduced at university level rather than material seen at secondary level. Our findings on students’ main statistical issues contribute to the development of a suite of evidence-based educational applications and games to support undergraduate students internationally in first- and second-year statistical modules. Full article

The transition from adolescence to college is a significant developmental stage marked by challenges such as high academic pressure, changes in living environments, and social support systems. These challenges can lead to increased rates of depression among college students. This study investigates the relationships between family functioning, emotional intelligence, loneliness, social support, and depressive symptoms in Chinese college students. A cross-sectional design was employed, with data collected via questionnaires from undergraduate students at Xi’an Jiaotong University. Variables such as family functioning, emotional intelligence, loneliness, social support, and depressive symptoms were assessed. Statistical analyses, including correlation and hierarchical regression, were conducted to explore these relationships. The study found a diverse distribution of depressive symptoms among students, with significant gender differences indicating higher depression rates in females. No significant differences were observed across academic disciplines, grades, or between only children and non-only children. Family functioning, emotional intelligence, and social support were negatively correlated with depressive symptoms, while loneliness was positively correlated. Hierarchical regression analysis confirmed that social support significantly moderated the relationship between family functioning and depressive symptoms. Mediation analysis showed that emotional intelligence and loneliness mediated this relationship. The findings highlight the complex interplay between family dynamics, emotional capabilities, social connectedness, and mental health. Enhancing family functioning, emotional intelligence, and social support can effectively reduce depressive symptoms among college students. These results underscore the need for holistic interventions that address multiple aspects of students’ social and emotional lives. Full article

Background: Empathy is an attribute that plays an essential role in the dentist–patient therapeutic relationship, clinical care, and treatment adherence, along with providing other benefits. The main objective of this research was to establish the validity, reliability, and invariance of the Jefferson Scale of Empathy and then characterize the empathy levels of students and teachers at a dental school. Materials and Methods: An observational and cross-sectional study analyzed a sample of undergraduate students and professors from the Universidad Andrés Bello Faculty of Dentistry (Chile) (n = 1727 and n = 267, respectively). The Empathy Scale for Health Professionals (HP) and the same scale for students (HPS) were applied. Results: The Jefferson Empathy Scale presents adequate psychometric properties. The empathy measure has adequate reliability and construct validity, confirming a fit of the three-factor empathy model to the data. The measurement is invariant within the university campus, the sex of the student, and between teacher and student. Teachers present greater empathy than students except in the Perspective Adoption dimension. Conclusions: The Jefferson Empathy Scale is reliable, valid, and invariant among Chilean dental students and professors. Students do not differ from their professors in the cognitive component of empathy, but they present a lower score in the affective component and global empathy. It is inferred that students can develop the affective component of empathy in their interactions with their professors, increasing their overall empathy. Understanding and fostering empathy in dental students and professors can significantly improve patient care and treatment adherence and increase patient and dentist satisfaction. Full article

In recent years, Higher Education institutions have reviewed learning and teaching methodologies to align competencies with evolving socioeconomic scenarios. Challenge-Based Learning (CBL) has emerged as a key method for developing competencies and self-regulating capacities in university students. This study aimed to identify the teaching practices associated with CBL in Higher Education. Adhering to PRISMA 2020 guidelines, this systematic review analyzed open-access and peer-reviewed publications from 2013 to 2023. The selection process reviewed 64 articles from Web of Science (WoS) and Scopus. To assess the risk of bias, the Delphi method with expert panels from the University College of Northern Denmark (UCN) was used. The review identified 20 studies emphasizing a shift in teaching practices in CBL toward student-centered learning, categorized into four key dimensions: pedagogical approaches, technological integration, industry engagement, and support for development. These findings illustrate the transition from traditional teaching to facilitative roles that foster innovative problem-solving. Limitations included the scarcity of research on specific CBL teaching practices and detailed implementation strategies, highlighting the need for further research. This study underscores the importance of specialized educator training in addressing CBL adoption challenges and preparing students for complex future challenges, enhancing student learning and growth across disciplines. Full article

The university population is at a vital stage of human development for acquiring an active lifestyle. Following this lifestyle will bring benefits in adulthood. This study seeks to analyse the relationship between physical activity and bodily pain, mental hyperactivity, and sleep quality as a function of the intensity of physical activity. A comparative, descriptive, and exploratory study is presented in a sample of 506 university students. The International Physical Activity Questionnaire, the Chronic Pain Grade Questionnaire, the Mental Hyperactivity Questionnaire, and the Pittsburgh Sleep Quality Index were used. The proposed model analyses the relationships of physical activity to bodily pain, mental hyperactivity, sleep disturbances, and time to fall asleep. The fit of the different adjustment indices is satisfactory (X² = 0.47, df = 1, pl = 0.48, IFI = 0.99, CFI = 0.97; NFI = 0.91; RMSEA = 0.01). The relational analysis shows a positive relationship of physical activity to bodily pain (r = 0.02; p < 0.01), mental hyperactivity (r = 0.054; p < 0.01), sleep disturbances (r = 0.029; p < 0.01), and time to fall asleep (r = 0.047; p < 0.01). Multi-group structural equation analysis indicates that there are differences in the causal relationships of physical activity to sleep quality, mental hyperactivity, and bodily pain as a function of exercise intensity. The conclusion is that the intensity at which physical activity is performed plays a key role in mental and physical health. Full article

Dental implant education is required to prepare students for independent general practice. This investigation aimed to assess students’ perceptions of their educational experience and training in a preclinical dental implant introduction course, using reflective logs anonymously extracted from course portfolios. Methods: This study employed qualitative research methodology to analyze second-year dental students’ reflections on their educational and development of psychomotor skills in a preclinical course focusing on dental implants at the University of Nevada, Las Vegas. These reflections served as the primary data source for qualitative analysis. The analysis was facilitated using NVivo software version 12 plus, which assisted in data coding and the organization of these codes into meaningful units, patterns, and themes. Results: Four themes emerged, which interrelated to each other and to the research question. Students reported positive course outcomes in dental implant learning, improvements in applying theoretical implant knowledge while developing practical skills, digitally scanning implant cases for the final restoration, and enhancement of their insight in evidence-based restoratively driven implant planning. They generally found the hands-on experience to have improved their understanding of the dental implant as an option for restoration. Although there were challenges, students viewed these as learning opportunities. For us, as educators, it provided invaluable feedback to understand students’ perceptions of difficulties in knowledge acquisition and psychomotor skill development in placing and restoring dental implants. Conclusions: Within the limitation of this study, students expressed a positive perception of their learning experience in the introductory course on dental implants. Full article

The model network based on YOLOv8 for detecting race cones and buckets in the Formula Unmanned Competition for Chinese university students needs help with problems with complex structure, redundant number of parameters, and computation, significantly affecting detection efficiency. A lightweight detection model based on YOLOv8 is proposed to address these problems. The model includes improving the backbone network, neck network, and detection head, as well as introducing knowledge distillation and other techniques to construct a lightweight model. The specific improvements are as follows: firstly, the backbone network for extracting features is improved by introducing the ADown module in YOLOv9 to replace the convolution module used for downsampling in the YOLOv8 network, and secondly, the FasterBlock in FasterNet network was introduced to replace the fusion module in YOLOv8 C2f, and then the self-developed lightweight detection head was introduced to improve the detection performance while achieving lightweight. Finally, the detection performance was further improved by knowledge distillation. The experimental results on the public dataset FSACOCO show that the improved model’s accuracy, recall, and average precision are 92.7%, 84.6%, and 91%, respectively. Compared with the original YOLOv8n detection model, the recall and average precision increase by 2.7 and 1.2 percentage points, the memory is half the original, and the model computation is 51%. The model significantly reduces the misdetection and leakage of conical buckets in real-vehicle tests and, at the same time, ensures the detection speed to satisfy the deployment requirements on tiny devices. Satisfies all the requirements for deployment of tiny devices in the race car of the China University Student Driverless Formula Competition. The improved method in this paper can be applied to conebucket detection in complex scenarios, and the improved idea can be carried over to the detection of other small targets. Full article

Menstruation remains surrounded by taboo and symbolic violence for many adolescents and young women today, and it is urgent to identify existing stereotypes. The objective was to validate a Spanish-language instrument to assess perceptions, false beliefs, gender stereotypes, fears, and taboos surrounding menstruation in nursing women’s studies. A cross-sectional study for psychometric validation of the METCON© scale (22 item version) was assessed in a cohort of 401 female nursing university students (2016–2019), assessing the psychometric properties in terms of internal consistency and structural validity. Furthermore, an invariance analysis was conducted to discern structural disparities before and after studying the subject of gender and health. The METCON© scale showed acceptable internal consistency scores measured by Cronbach’s alpha. Exploratory factor analysis indicated a structure of six factors which explained 60.50% of the total variance with a total of 19 items. Reliability analysis indicated adequate internal consistency (α = 0.613). Confirmatory factor analysis showed adequate values, confirming this structure. The invariance analyses identified that the structure remained adequate when evaluated before and after studying the subject of gender and health. Once validated, this instrument could serve as a valid and reliable tool for comprehensively examining perceptions, beliefs, and myths surrounding menstruation, addressing not only biological but also social and cultural aspects. Full article

The capacity of schools to address behavioral health concerns presents an emerging challenge, exacerbated by major shortages in the workforce. Schools across the U.S. are struggling to hire licensed behavioral health professionals, with additional barriers encountered when seeking to hire practitioners with experience in educational settings. In 2023, a school district in the suburbs of Columbus, Ohio, partnered with The Ohio State University to launch a “grow your own” policy pilot. The priorities focused on addressing workforce shortages and leveraging the experiences of current teachers/staff to support growing needs related to student mental health and well-being. More specifically, the district utilized COVID-19 relief funds to recruit, train, and transition 25 teachers/staff into school mental health positions by underwriting the costs of each professional’s Master of Social Work (MSW) degree. Here, we (a) describe the district–university partnership and the processes guiding the implementation of the “grow your own” model, (b) distill preliminary findings about district needs regarding behavioral health, and (c) explore facilitators, barriers, and outcomes associated with learning among participants in the program. The findings from a district-wide staff survey indicated a high level of need for individual counseling, crisis intervention, and small group interventions. Additionally, qualitative interviews revealed that learning among the program’s participants was facilitated by effective classroom strategies and specific learning experiences integral to the program’s design. These facilitators supported key learning outcomes, including general social work knowledge, self-awareness, and therapeutic skills that are foundational for engaging with students, parents/families, teachers/staff, and the broader school community. This innovative policy pilot and training model demonstrate how universities and local educational agencies can partner to address workforce development challenges at the intersection of behavioral health and education. Full article