Search Results (622)

Background/Objectives: The transition from theoretical knowledge to clinical practice poses significant challenges for nursing students globally. This critical period requires comprehensive educational support to build confidence and competence. While short-term preparatory courses have shown promise internationally, their effectiveness within the Saudi Arabian context remains understudied. This study aimed to evaluate nursing students’ satisfaction and self-confidence following participation in short-term preparatory courses conducted before clinical placements at Taibah University, Saudi Arabia. Methods: A descriptive cross-sectional study was conducted from February to April 2025. Data were collected from 117 undergraduate nursing students (response rate: 80.7%) using a validated questionnaire adapted from the National League for Nursing’s Student Satisfaction and Self-Confidence in Learning instrument. The preparatory courses included nursing care plan development, hospital orientation, and infection control procedures delivered over two weeks. Statistical analysis included descriptive statistics and Pearson correlation analysis. Results: Students reported high levels of satisfaction (mean = 4.29 ± 0.92) and self-confidence (mean = 4.31 ± 0.81) scores. The highest satisfaction was with instructor effectiveness (mean = 4.31 ± 1.05) and teaching methods (mean = 4.32 ± 1.01). Students demonstrated strong confidence in personal learning responsibility (mean = 4.44 ± 0.88) and skill development (mean = 4.32 ± 0.95). A strong positive correlation existed between satisfaction and self-confidence (r = 0.79, p < 0.001). Conclusions: Short-term preparatory courses effectively enhanced nursing students’ satisfaction and self-confidence in the Saudi Arabian context. The strong correlation between these constructions suggests that educational interventions improving one dimension is likely to benefit the other. These findings support integrating structured preparatory programs into nursing curricula to facilitate successful clinical transitions. Full article

Background: Pharmacy professionals have an important role in delivering patient-centred care, with effective communication skills forming the foundation of interactions with patients. This study aimed to explore how pharmacy students perceived their own communication skills; along with the communication skills education and training experiences in their undergraduate pharmacy degree in the UK. Methods: A 22-item questionnaire was designed and piloted before being distributed online. Snowball sampling was employed to recruit participants undertaking an undergraduate pharmacy degree. Quantitative statistical and qualitative thematic analysis was conducted. Results: A range of pharmacy schools were represented in the data set (n = 10) with 217 responses collected. Participants rated their communication skills highly (53.03%, n = 114), but stated they still required improvement (79.72%, n = 173). A proportion of participants stated that they could appropriately make professional decisions (52.08%, n = 100) and that their communication skills had facilitated their professional decision-making skills (57.89%, n = 110). Effective teaching methods reported included role play with peers (80%, n = 156) and small-group teaching sessions (64.10%, n = 125). Participants felt that interprofessional education and simulated patients could help improve their communication skills further. Conclusions: Communication education is a crucial element in developing future healthcare professionals. Thus, investment in resources is required to facilitate communication skills in the earlier stages of the undergraduate pharmacy degree. Full article

This case study examines the integration of artificial intelligence (AI) into undergraduate architectural education through a 2024–25 core studio teaching experiment at Zhejiang University. A dual-module framework was implemented, comprising a 20 h AI skills training module and in-class ethics discussions, without altering the existing studio structure. The AI skills module introduced deep learning models, LLMs, AIGC image models, LoRA fine-tuning, and ComfyUI, supported by a dedicated technical instructor. Student feedback indicated phase-dependent and tool-sensitive engagement, and students expressed a preference for embedded ethical discussion within the design studio rather than separate formal instruction. The experiment demonstrated that modular AI education is both scalable and practical, highlighting the importance of phase-sensitive guidance, balanced technical and ethical framing, and institutional support such as cloud platforms and research-based AI tools. The integration enhanced students’ digital adaptability and strategic thinking while prompting reflection on issues such as authorship, algorithmic bias, and accountability in human–AI collaboration. These findings offer a replicable model for AI-integrated design pedagogy that balances technical training with critical awareness. 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

This study focuses on the mechanisms of behavior and cognition, providing a comprehensive analysis of the innovative path of multimodal learning theory in the teaching practice of the “Web Front-end Development” course. This study integrates different sensory modes, such as vision, hearing, and haptic feedback, with the core objective of exploring the specific impact of this multi-sensory integration form on students’ cognitive engagement status, classroom interaction styles, and long-term learning behavior. We employed a mixed-methods approach in this study. On the one hand, we conducted a quasi-experiment involving 120 undergraduate students. On the other hand, research methods such as behavioral coding, in-depth interviews, and longitudinal tracking were also employed. Results show that multimodal teaching significantly reduces cognitive load (a 34.9% reduction measured by NASA-TLX), increases the frequency of collaborative interactions (2.3 times per class), and extends voluntary practice time (8.5 h per week). Mechanistically, these effects are mediated by enhanced embodied cognition (strengthening motor-sensory memory), optimized cognitive load distribution (reducing extraneous mental effort), and the fulfillment of intrinsic motivational needs (autonomy, competence, relatedness) as framed by self-determination theory. This study fills in the gap between educational technology and behavioral science. We have developed a comprehensive framework that provides practical guidance for designing technology-enhanced learning environments. With such a framework, learners can not only master technical skills more smoothly but also maintain their enthusiasm for learning for a long time and continue to participate. Full article

Background: Undergraduate nursing students (UNSs) often enter clinical training just as they are still mastering the emotional labor of the profession. In Nepal, where teaching hierarchies discourage upward dialogue and hospitals routinely struggle with overcrowding, supply shortages, and outward nurse migration, these learners confront a distinct, under-documented burden of psychological distress. Objective: This study examines how UNSs interpret, negotiate, and cope with the mental health challenges that arise at the intersection of cultural deference, resource scarcity, and migration-fueled uncertainty. Methods: A qualitative design employing reflexive thematic analysis (RTA), guided by the Reflexive Thematic Analysis Reporting Guidelines (RTARG), was used. Fifteen second-, third-, and fourth-year Bachelor of Science in Nursing students at a major urban tertiary institution in Nepal were purposively recruited via on-campus digital flyers and brief in-class announcements that directed students (by QR code) to a secure sign-up form. Participants then completed semi-structured interviews; audio files were transcribed verbatim and iteratively analyzed through an inductive, reflexive coding process to ensure methodological rigor. Results: Four themes portray a continuum from silenced struggle to systemic constraint. First, Shrouded Voices, Quiet Connections captures how students confide only in trusted peers, fearing that formal disclosure could be perceived as weakness or incompetence. Second, Performing Resilience: Masking Authentic Struggles describes the institutional narratives of “strong nurses” that drive students to suppress anxiety, adopting scripted positivity to satisfy assessment expectations. Third, Power, Hierarchy, and the Weight of Tradition reveals that strict authority gradients inhibit questions in classrooms and clinical placements, leaving stress unvoiced and unaddressed. Finally, Overshadowed by Systemic Realities shows how chronic understaffing, equipment shortages, and patient poverty compel students to prioritize patients’ hardships, normalizing self-neglect. Conclusions: Psychological distress among Nepalese UNSs is not an individual failing but a product of structural silence and resource poverty. Educators and policymakers must move beyond resilience-only rhetoric toward concrete reforms that dismantle punitive hierarchies, create confidential support avenues, and embed collaborative pedagogy. Institutional accountability—through regulated workloads, faculty-endorsed wellbeing forums, and systematic mentoring—can shift mental health care from a private struggle to a shared professional responsibility. Multi-site studies across low- and middle-income countries are now essential for testing such system-level interventions and building a globally resilient, compassionate nursing workforce. Full article

Aim: We aimed to assess the impact of a Health and Nursing course on the professional commitment of first-year undergraduate nursing students and obtain quantitative and qualitative feedback on teaching. Design: This study employed a quasi-experimental design. Methods: Fifty first-year undergraduate nursing students who attended the Health and Nursing course were recruited. A self-designed basic information questionnaire, the Nursing Professional Commitment Scale, the Students’ Perceived Teaching Quality Questionnaire, and two quick open-ended questions were used to collect the data. Professional commitment before and after the intervention was compared using an independent samples t-test. The correlation between the students’ perceived teaching quality and professional commitment was assessed using Pearson’s correlation coefficient. Content analysis was used to analyze qualitative feedback. Results: The participants experienced a significant improvement in their professional commitment. The students’ perceived teaching quality was significantly correlated with their professional commitment. According to the students’ feedback, the most impressive aspects of the course were case-based learning and visits to healthcare institutions. Conclusions: A Health and Nursing course with high-quality teaching increased the professional commitment of first-year undergraduate nursing students. The findings suggest that nursing educators should consider the external macro-sociopolitical environment when designing an introductory course to equip students with a broader perspective on nursing professional development. Teaching content and pedagogy should be improved to promote knowledge delivery and internalization. Full article

Ethics has emerged as a central dimension of the teaching profession, although it is not always explicitly addressed in initial teacher training study plans. In this context, a quantitative study was conducted to examine, from a comparative perspective, the perceptions of undergraduate students in Elementary Education from two Portuguese higher education institutions regarding the treatment of the ethical dimension in their course study plans. Data was collected from 141 students using a questionnaire survey. The objectives were: (i) to determine whether the Elementary Education degree study plan adequately addresses ethical issues; (ii) to assess whether ethics should be taught as an integral part of the study plan; (iii) to gather possible suggestions and ways to improve the ethical approach in the Elementary Education degree. The results indicate that, while participants believe the study plan adequately addresses ethical issues, they also feel that ethics should be an integral component of the Elementary Education degree. Additionally, they suggested other ways to enhance the ethical approach in initial teacher training. Full article

Undergraduate design education faces a structural contradiction characterized by high cognitive load (CL) and relatively low innovation output. Meanwhile, existing generative AI tools predominantly emphasize the generation of visual outcomes, often overlooking the logical guidance mechanisms inherent in design thinking. This study proposes a Dual-Path teaching model integrating critical reconstruction behaviors to examine how AI enhances design thinking. It adopts structured interactions with the DeepSeek large language model, CL theory, and Structural Equation Modeling for analysis. Quantitative results indicate that AI-assisted paths significantly enhance design quality (72.43 vs. 65.60 in traditional paths). This improvement is attributed to a “direct effect + multiple mediators” model: specifically, AI reduced the mediating role of Extraneous Cognitive Load from 0.907 to 0.017, while simultaneously enhancing its investment in Germane Cognitive Load to support deep, innovative thinking. Theoretically, this study is among the first to integrate AI-driven critical reconstruction behaviors (e.g., iteration count, cross-domain terms) into CL theory, validating the “logical chain externalization → load optimization” mechanism in design education contexts. Practically, it provides actionable strategies for the digital transformation of design education, fostering interdisciplinary thinking and advancing a teaching paradigm where low-order cognition is outsourced to reinforce high-order creative thinking. Full article

This study investigates the concurrent implementation of resilience and sustainability concepts into undergraduate engineering curricula. Specifically, it examines the instructional strategies the faculty adopted, the most important aspects and applications of the two concepts, and the challenges faced in implementation. A qualitative study using semi-structured interviews was conducted with eight faculty members from four engineering disciplines. Faculty members employed various instructional strategies such as general discussions, project-based learning, and guest lectures. They considered practicality, the triple bottom line principle, and liability and environmental issues to be the most important aspects of sustainability. They also considered resiliency and rapidity or time recovery to be the most important aspects of resilience. Time constraint was the most common challenge for implementing resilience and sustainability. Packed curricula, struggles in finding the right strategy, students’ lack of motivation, and difficulty in teaching such concepts in introductory courses were also major challenges. As a result, students showed improvements in knowledge and attitudes, particularly regarding sustainability. This study offers practical insights for embedding both concepts into engineering education and recommends further research into instructional strategies and documentation to support integration. Full article

As an introductory core course in computer science and related fields, “Fundamentals of Programming” has always faced many challenges in stimulating students’ interest in learning and cultivating their practical coding abilities. The traditional teaching model often fails to effectively connect theoretical knowledge with practical applications, resulting in a low retention rate of students’ learning and a weak ability to solve practical problems. Digital twin (DT) technology offers a novel approach to addressing these challenges by creating dynamic, virtual replicas of physical systems with real-time, interactive capabilities. This study explores DT integration in programming teaching and its impact on learning engagement (behavioral, cognitive, emotional) and skill acquisition (syntax, algorithm design, debugging). A quasi-experimental design was employed to study 135 first-year undergraduate students, divided into an experimental group (n = 90) using a DT-based learning environment and a control group (n = 45) receiving traditional instruction. Quantitative data analysis was conducted on participation surveys, planning evaluations, and qualitative feedback. The results showed that, compared with the control group, the DT group exhibited a higher level of sustained participation (p < 0.01) and achieved better results in actual coding tasks (p < 0.05). Students with limited coding experience showed the most significant progress in algorithmic thinking. The findings highlight that digital twin technology significantly enhances engagement and skill acquisition in introductory programming, particularly benefiting novice learners through immersive, theory-aligned experiences. This study establishes a new paradigm for introductory programming education by addressing two critical gaps in digital twin applications: (1) differential effects on students with varying prior knowledge (engagement/skill acquisition) and (2) pedagogical mechanisms in conceptual visualization and authentic context creation. Full article

There is minimal research concerning the role of custom-trained artificial intelligence (AI) tools in higher education, with a lack of research concerning the pedagogical qualities of an AI-based personal tutor. To fill this literature gap, we examined how a custom GPT personal tutor shapes key teaching and learning qualities. Using the mixed-methods approach, we aimed to demonstrate preliminary and exploratory empirical evidence concerning the contribution of custom-trained AI tutors to building up students’ competencies. Our research analyzed the subjective assessments of students related to the GPT tutor’s contribution to improving their competencies. Both the qualitative and quantitative empirical results confirmed the positive contribution. In addition, we triangulated the results to evaluate the potential of custom-trained AI chatbots in higher education, focusing on undergraduate business courses. However, the results of this study cannot be generalized to the entire student population of business schools, since the participation in the AI-assisted tutor program was voluntary, attracting only intrinsically motivated students. Full article

Serious games that integrate educational content with engaging gameplay mechanics hold promise for reducing cognitive load and increasing student motivation in STEM and health science education. This preliminary study presents the development and evaluation of the Medimon NASA Demo, a game-based learning prototype designed to teach undergraduate students about the musculoskeletal and visual systems—two critical domains in space medicine. Participants (n = 23) engaged with the game over a two-week self-regulated learning period. The game employed mnemonic-based characters, visual storytelling, and turn-based battle mechanics to reinforce medical concepts. Quantitative results demonstrated significant learning gains, with posttest scores increasing by an average of 23% and a normalized change of c = 0.4. Engagement levels were high across multiple dimensions of situational interest, and 74% of participants preferred the game over traditional formats. Qualitative analysis of open-ended responses revealed themes related to intrinsic appeal, perceived learning efficacy, interaction design, and cognitive resource management. While the game had minimal impact on short-term STEM career interest, its educational potential was clearly supported. These findings suggest that mnemonic-driven serious games like Medimon can effectively enhance engagement and learning in health science education, especially when aligned with real-world contexts such as space medicine. Full article

In an increasingly complex global context, higher education faces the challenge of preparing professionals who are innovative, committed, and socially responsible. Entrepreneurial competence is particularly prominent among the key skills required to meet this goal, given its significant personal and social impact. This study examines how final-year undergraduate students at the University of Deusto (Spain) perceive the importance of entrepreneurial competence—defined as a set of transversal skills, knowledge, and attitudes enabling initiative and opportunity recognition across various contexts—rather than entrepreneurial competence strictly understood as business creation. The sample included 267 students from different faculties. Descriptive, comparative, and ordinal logistic regression analyses (SPSS) were used. The results show that, while entrepreneurial competence was given significant importance, it was ranked comparatively low relative to other competencies. Significant differences by gender were observed, with women rating entrepreneurial competence more highly than men. The faculty variable showed slight disparities, and there were no relevant differences between campuses. These findings highlight the need to reinforce the integration of entrepreneurial competence into educational curricula on a transversal basis, adapting the teaching of this competence to the sociocultural context of students, as well as the need to increase students’ awareness of the importance of entrepreneurial competence. It is proposed that further research should focus on the relationships between intrapreneurship, gender, and academic disciplines, in order to enrich entrepreneurial competence education and its impact on the employability and social commitment of students. Full article