Search Results (1,602)

(1) Aims: This review aims to investigate whether screen-based simulated learning experiences improve on traditional teaching strategies to bridge the theory–practice gap for biomedical scientists and enhance the readiness to practice of graduates. (2) Methods: This review adheres to the systematic–narrative hybrid literature review strategy with the scope of review defined according to Cochrane guidelines for systematic reviews. To identify the potentially relevant literature, the PUBMED, CINAHL, and Web of Science bibliographic databases were searched using the identified keywords from January 2020 to February 2025. Thematic analysis of the resultant literature was conducted in line with the Braun and Clarke framework. (3) Results: The original search and analysis of the online databases returned 45 papers. Collectively these sources explore global perspectives on biomedical science education, training, and professional practice. These include the identification of core competencies that may contribute to the theory–practice gap for biomedical scientists, as well as educational interventions that aim to address them. The poor quality of existing research on simulation-based learning, mostly from academic settings, makes it challenging to apply the findings to professional practice. This limitation is primarily due to an overreliance on self-reported data and perceived learning gains rather than direct, objective evaluations of competence. Future studies should focus on objective, validated outcome measures and longitudinal follow-up to assess real-world impacts and learning transfer. (4) Conclusions: Simulation-based learning experiences have the potential to address aspects of the theory–practice gap for biomedical scientists, but the current evidence base reflects a lack of understanding regarding specific targets and strategies for its design, evaluation, and integration in this context. There is a need for more robust evidence that evaluates their impacts on readiness to practice. This need is hindered by a lack of research directly investigating the impact of simulation-based teaching and training interventions in clinical settings. Full article

This study addresses several challenges in traditional triaxial test teaching including high costs, poor environmental sustainability, and the lag of soil constitutive model education behind theoretical advancements. A digital platform for triaxial test teaching was established within the MATLAB environment. This platform integrates the Anisotropic Structured Clay Model (ASCM) and the Anisotropic Creep Model (ANICREEP), supporting four key testing conditions. It accommodates various teaching scenarios and experimental designs, clearly illustrating the stress–strain relationships of soil and the evolution of key state variables under different testing conditions. The platform helps students gain a deeper understanding of soil mechanical behavior while alleviating the burden of complex mathematical derivations, thereby establishing a new technology suitable for engineering education. The platform is highly aligned with the teaching needs of triaxial tests in the undergraduate course “Soil Mechanics” and can effectively support the in-depth exploration of constitutive model theory in the graduate course “Numerical Computation in Geotechnical Engineering”, providing robust support for cultivating students’ theoretical understanding and practical analytical skills. This technology not only promotes the deep integration of educational digitalization and modernization within geotechnical engineering teaching but also establishes an economical, sustainable, and innovative teaching paradigm. Furthermore, through its openness and extensibility, the platform injects new momentum into the implementation of educational digitalization strategies and serves as a model for building an open and shared curriculum resource system. Full article

With rising employment pressure on preservice teachers in the context of negative population growth and higher education expansion in the world, which have jointly reduced the demand for teachers while increasing the supply of graduates, the digital era offers new opportunities to enhance their employability. This study proposes a moderated mediation model to explore how career planning influences perceived employability, using a sample of 650 respondents. Results show that career planning positively predicts perceived employability, with job search clarity serving as a mediator. Digital literacy significantly moderates this mediation effect. Preservice teachers with higher digital literacy benefit more from career clarity in enhancing perceived employability. These findings suggest that strengthening digital literacy and clarifying career goals are key strategies to improve employability among preservice teachers. Full article

This study investigates the perceptions of economics students from Romania’s Central Region regarding the global phenomena of globalization, localization, and slowbalization (GLS), analyzed through the lens of environmental, economic, and educational sustainability. The research highlights a high level of awareness and understanding of globalization and localization, while the concept of slowbalization remains relatively unfamiliar and often perceived with uncertainty or neutrality. Most respondents view globalization as the most sustainable model for long-term economic development, emphasizing its contributions to international trade, market expansion, investment flows, and access to global education and research. At the same time, localization is recognized for its role in preserving cultural identity, strengthening local economies, and addressing pressing environmental issues through low-carbon solutions. Regarding educational sustainability, students support a hybrid model that balances global exposure with the appreciation of local knowledge and traditions—a glocal approach particularly endorsed by master’s students. The study also reveals statistically significant differences between undergraduate and graduate respondents, indicating more mature perspectives among those in advanced studies. The paper could help in course design and lesson engagement and concludes by recommending curricular reforms in economic education and proposing future interdisciplinary, comparative, and qualitative research to deepen understanding of GLS dynamics, particularly in the context of emerging global trends and technological transformations. Full article

Background: Simulation-based education (SBE) is a key component of nursing training. It enables students to apply theoretical knowledge in practice, expand their clinical understanding, develop critical thinking, improve communication skills, and build self-confidence. Increasing the number of simulation hours in nursing curricula may enhance students’ ability to manage stress in clinical settings. Methods: This was a cross-sectional comparative study involving 113 nursing students during a practical exam. Participants graduated in three consecutive years: 2020, 2021, and 2022. SBE was introduced into the curriculum in 2020, resulting in varying levels of simulation experience. Stress and anxiety markers were measured during the exam and compared across groups. Results: Greater simulation experience was associated with lower heart rate (p = 0.007), lower diastolic blood pressure (p < 0.001), and lower cortisol levels (p < 0.001). Students with two years of simulation training reported the lowest perceived stress (p = 0.031). However, anxiety levels remained high across all groups and did not differ significantly. Conclusions: The study showed that OSCEs are associated with elevated stress in nursing students. Students with greater exposure to simulation-based education had significantly lower stress and anxiety indicators. SBE appears to reduce stress and improve students’ preparedness for clinical assessments. Full article

Objectives: Gonadotropin-releasing hormone (GnRH) antagonist protocols are preferred in polycystic ovary syndrome (PCOS) patients undergoing in vitro fertilization (IVF) as they provide the best combination of flexibility, acceptable outcomes, and safety. Numerous studies have compared outcomes between GnRH agonist long protocol and standard flexible antagonist protocol. However, there are scant studies investigating the effectiveness of antagonist administration from day 1 of ovarian stimulation in PCOS patients. Methods: We performed a retrospective cohort study to compare laboratory and clinical outcomes in IVF between standard flexible day 5/day 6 versus day 1 GnRH antagonist protocol in PCOS patients. Results: Our data indicates significantly superior oocyte yield and top-quality embryo proportion in patients with antagonists from day 1. Cumulative clinical pregnancy rates also tended to be superior in this group. Conclusions: Our findings indicate that administration of GnRH antagonists from day 1 of stimulation in PCOS patients undergoing IVF may lead to superior results. Full article

The development of E-commerce and digitalization drives the rapid change in logistics management practices and poses challenges to traditional talent training modes in logistics field. Nowadays, companies expect university graduates equipped with more practical logistics skills to connect tighter with the industry. This motivates universities to establish more practically relevant curriculums to enhance students’ career competitiveness. Under such background, industry–university collaboration courses are increasingly adopted in higher education institutes in logistics discipline. Due to the difference between this type of course and the traditionally taught courses, the learning outcome of it can be difficult to guarantee. Therefore, it is necessary to identify the influential factors of the learning outcomes of industry–university collaboration courses and establish the actionable strategies to enhance course quality. However, the current literature in logistics management education has little focus on this topic, resulting in gaps on clarifying the influential factors of learning outcomes of industry–university collaboration courses in this discipline. Applying a mixed method, this study conducted a case study for an industry–university collaboration course of a logistics discipline in a Chinese university. The interval-valued Pythagorean fuzzy (IVPF) numbers and the Weighted Aggregated Sum Product Assessment (WASPAS) methods were used. The results showed that there are 15 factors which can influence the outcomes of industry–university collaboration courses in logistics discipline. Among them, the most important factor is the working environment, followed by the students’ own ability. Also, the results indicated that students’ optimistic attitudes towards the course, whether students take the course seriously, and course evaluations can be influential factors for good learning outcomes. The sensitivity analysis was then conducted, showing that the results were robust. This study can contribute to the existing literature by providing a theoretical framework to understand and assess the quality of industry–university collaboration courses in logistics and relevant subjects, as well as offering new analytical tools for management educational studies. Moreover, this study can provide practical implications for educators to develop and maintain good industry–university collaboration courses and trainings. Specifically, a practical life-cycle view was suggested to put pertinent efforts in all periods before/during/after the course to achieve high course outcomes. Full article

In fragile and unstable regions, entrepreneurship education is increasingly viewed as the path to economic resilience and youth empowerment. However, research indicates that there is relatively little empirical evidence on how entrepreneurial education promotes entrepreneurial intention and behavior, especially in situations of uncertainty and a lack of resources. This study explores this relationship based on a sample of 402 Palestinian university students and graduates, applying the Partial Least Squares Structural Equation Modeling (PLS-SEM). The study concludes that entrepreneurial education has a positive influence on students’ self-efficacy, attitudes toward entrepreneurship, and their perception of the entrepreneurial environment. Self-efficacy was found to be the most potent mediating factor of entrepreneurial intent, closely followed by attitude. Although intention is a good predictor of action, the relationship is modest, which illustrates a clear intention-action gap. The study also reports that entrepreneurial education indirectly affects actions by shaping environmental perception, and that its total influence on entrepreneurial action operates primarily through these psychological and contextual pathways. Furthermore, the availability of resources has a significant moderating effect, as students having strong intentions are more likely to act when there is a strong perception that sufficient support and resources are available to them. The research builds on the Theory of Planned Behavior and complements related work on the intention–action gap, by considering a combination of psychological and contextual influences. Additionally, it offers actionable recommendations for policy-makers, educators, and development practitioners working to realize youth aspiration in fragile economies through integrated, context-appropriate entrepreneurship interventions. Full article

Industry 4.0 has intensified the skills gap in industrial automation education, with graduates requiring extended on boarding periods and supplementary training investments averaging USD 11,500 per engineer. This paper introduces VisFactory, a multimedia learning system that extends the cognitive theory of multimedia learning by incorporating haptic feedback as a third processing channel alongside visual and auditory modalities. The system integrates a digital twin architecture with ultra-low latency synchronization (12.3 ms) across all sensory channels, a dynamic feedback orchestration algorithm that distributes information optimally across modalities, and a tripartite student model that continuously calibrates instruction parameters. We evaluated the system through a controlled experiment with 127 engineering students randomly assigned to experimental and control groups, with assessments conducted immediately and at three-month and six-month intervals. VisFactory significantly enhanced learning outcomes across multiple dimensions: 37% reduction in time to mastery (t(125) = 11.83, p < 0.001, d = 2.11), skill acquisition increased from 28% to 85% (${\eta }_p^2=0.54$), and 28% higher knowledge retention after six months. The multimodal approach demonstrated differential effectiveness across learning tasks, with haptic feedback providing the most significant benefit for procedural skills (52% error reduction) and visual–auditory integration proving most effective for conceptual understanding (49% improvement). The adaptive modality orchestration reduced cognitive load by 43% compared to unimodal interfaces. This research advances multimedia learning theory by validating tri-modal integration effectiveness and establishing quantitative benchmarks for sensory channel synchronization. The findings provide a theoretical framework and implementation guidelines for optimizing multimedia learning environments for complex skill development in technical domains. Full article

Sustainable economic growth is possible not only with physical investments but also with strong human capital that enables the training of qualified, productive, and innovative individuals. The relationship between the number of university students (doctorate, master’s, and undergraduate) in higher education was selected as a proxy for human capital, and economic growth was estimated using vector autoregressive analysis with four models for the periods 1982Q1–2021Q4. In addition, the effect of gender was examined for all levels of education. While economic growth has a stable effect at the doctoral level, it positively affects master’s and undergraduate students. A one-unit shock in economic growth does not affect gender at doctoral, master’s, and undergraduate education levels. It was determined that the master’s degree explained the economic growth variable more than other education levels. It is seen that female students explain more at the doctoral level of education, and male students at the master’s and undergraduate levels of education. In sustainable economic growth and development, it is much more important and valuable to strengthen graduate education qualitatively and increase knowledge production capacity rather than simply increasing it. Education policies should focus on strengthening education, which is the building block of human capital that contributes to economic growth and social welfare. Full article

Emerging technologies present significant challenges for society as a whole. Among these, Artificial Intelligence (AI) stands out for its transformative potential, with the capacity to fundamentally reshape human thought, behavior, and lifestyle. This article seeks to explore the business-oriented perspective on how AI should be approached in Higher Education (HE) in order to serve the commercial objectives of companies. The motivation for this inquiry stems from recurrent criticisms directed at HE institutions, particularly their perceived inertia in adopting innovations, resistance to change, and delayed responsiveness to evolving labor market demands. In this context, the study examines what businesses deem essential for universities to provide in the context of AI familiarity and examines how companies envision future collaboration between the business sector and Higher Education institutions in using AI for business applications. Adopting a qualitative research methodology, this study conducted interviews with 16 middle-management representatives from international corporations operating across diverse industries. The data were analyzed using Gioia’s methodology, which facilitated a structured identification of first-order concepts, second-order themes, and aggregate dimensions. This analytical framework enabled a nuanced understanding of business expectations regarding the role of HE institutions in preparing graduates capable of meeting economic and commercial imperatives under the pressure of AI diffusion. Full article

Many early career educators, such as teaching assistants (TAs) in college courses, as well as pre-college educators, need help both with content and pedagogical knowledge to effectively help their students learn. One pedagogical approach that has been found effective in prior studies is collaboration with peers. Collaborative learning not only has the potential to help educators develop content knowledge but can also improve their pedagogical knowledge. This study examines the performance of physics graduate students, enrolled in a professional development course for teaching assistants (TAs), on the Magnetism Conceptual Survey, highlighting the impact of peer collaboration on learning both content and pedagogy. Peer interaction significantly improved performance, driven by both construction of knowledge (where the group answered a question correctly but only one member had the correct individual response) and co-construction of knowledge (where the group succeeded despite both members initially answering incorrectly). Beyond improving content understanding, peer collaboration can also foster pedagogical skills by encouraging early educators such as TAs to use peers as learning resources and communicate ideas effectively to support mutual understanding. These dual benefits—enhancing both content mastery and teaching abilities—demonstrate that this approach holds value not only for the professional development of TAs but can also be adapted for pre-college professional development programs to improve teaching and learning outcomes. Full article

Higher education institutions have undergone essential transformations in recent decades, driven by legislative reforms and changes in social and economic demands. This study examines the factors that influence the continuous improvement of educational quality in Ecuador’s private higher education institutions (HEIs). A quantitative, cross-sectional, descriptive–correlational study was conducted to analyze the adaptation of HEIs to new realities, student mobility, technological development, sustainability practices, and innovation. The results indicate that technological development and environmental sustainability are key elements. There is a strong correlation between technological development and adaptation to the world of work. This suggests that integrating sustainable practices and university–industry cooperation is critical in improving the quality of higher education in Ecuador. In addition, student mobility and graduate follow-up programs are positively related to labor market adaptation and internationalization. These findings suggest the need for a holistic approach to quality assurance and provide practical guidelines for Ecuadorian HEIs to improve their performance in a rapidly changing context. Full article

Career decisions are among the most consequential choices individuals make, profoundly shaping their long-term stability and overall life satisfaction. The literature suggests that behavioral biases, specifically overconfidence, herd mentality, social comparison, status quo bias, and optimism bias, can exert considerable influence on these decisions, thereby shaping students’ future career trajectories. This study adopts a behavioral perspective to examine how these biases influence career choices within a collectivist social context. A survey of 360 undergraduate and graduate business students was conducted. The collected data were analyzed using an integrated approach that combines Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN), enabling the use of both linear and non-linear methods to analyze the relationship between cognitive biases and career choices. Our findings reveal that while all five biases have a measurable impact, status quo bias and social comparison are the dominant factors influencing students’ career decisions. These results underscore the need for interventions that foster self-awareness, independent decision-making, and critical thinking. Such insights can guide educators, career counselors, and policymakers in designing programs to mitigate the negative effects of cognitive biases on career decision-making, ultimately enhancing career satisfaction and workforce efficiency. Full article

This study examines whether and how community schools’ integrated student support services (academic, socioemotional, health, and family support) contributed to improving whole-child/youth development and reducing systemic inequalities of students’ learning/wellness outcomes across New York State under the Every Student Succeeds Act (ESSA). Applying a quasi-experimental method with propensity score matching to the state’s 2018–2023 school survey and report card databases, it provides new evidence on the efficacy of community school programs on average and by subgroups (race/ethnicity, poverty, disability, English language learner, and housing status). The results of matched comparisons between community schools and non-community schools are mixed, after considering their differences in terms of student demographics and baseline conditions. Overall, community schools showed policy implementation fidelity with more state funding, policy-aligned practices, and school-based health centers/clinics. However, community schools had no discernable impacts on academic achievement and chronic absenteeism overall, except that the operation of school-based health centers was associated with a reduction in absenteeism. In contrast, community schools had more positive impacts on high school graduation rates, particularly among disadvantaged minority students; the impacts are attributable to policy-aligned practices, set-aside funding, and school-based health center dental programs. Educational policy and research implications are discussed. Full article