Search Results (230)

Engineering education often struggles to connect academic content with the real-world skills demanded by industry. Despite the inclusion of teamwork, collaborative learning, and leadership training in engineering curricula, many graduates remain unprepared to deal with complex and professional challenges. This study presents a cross-curricular, practice-oriented methodology designed to strengthen the integration of theoretical knowledge and professional competencies among engineering students. The method has been implemented in the degree in Industrial Design and Product Development Engineering at the University of Cádiz. Students engaged in a realistic design task—developing an outdoor clothesline system—requiring the application of content from Materials Science, Structural Analysis, and Computer-Aided Design. Digital tools such as MILAGE LEARN+ (for gamified content review) and MindMeister (for concept mapping) have been integrated to promote autonomous learning and interdisciplinary thinking. The methodology has also been designed to improve transversal skills such as initiative, communication, and teamwork through collaborative and student-led project development. The approach has been evaluated through pre- and post-intervention surveys, informal feedback, and internship outcomes. The results showed a 40% reduction in students reporting difficulty retaining theoretical content (from 78% to 38%) and a 29% increase in self-perceived autonomous learning. The proportion of students feeling unprepared for professional environments dropped from 73% to 34%. Those experiencing anxiety when facing real-world problems has been reduced from 92% to 57%. Students have also reported greater motivation and a clearer understanding of the practical relevance of the academic content. These findings suggest that structured interdisciplinary challenges, when supported by blended learning tools and authentic design problems, can significantly improve student readiness for professional practice. The proposed methodology offers a replicable and adaptable model for other engineering programs seeking to modernize their curricula and foster transferable and real-world skills. Full article

Reflective practice is vital for bridging theory and professional application in undergraduate public health education, yet its use in non-Western contexts is underexamined. This mixed-methods study evaluated the Minor in Public Health at the Saw Swee Hock School of Public Health, National University of Singapore, using a convergent parallel design. Using a longitudinal student survey (baseline upon entry: n = 289; graduation upon completion: n = 78) and cross-sectional stakeholder survey (n = 17), quantitative analysis included chi-square tests for competency changes and Wilcoxon rank-sum tests for group comparisons. Thematic analysis of open-ended responses highlighted strengths in systems thinking, analytical skills, and interdisciplinary integration, but also gaps in practical experience, specialised knowledge, and professional communication. Students reported significant improvements in 10 of 13 competencies from baseline to graduation and rated their attainment higher than stakeholders across all competencies. Those who achieved all competencies also gave significantly more positive ratings of the programme in the domains of teaching and learning, and in engagement, assessment, and feedback. These findings underscore the role of reflective practice in aligning education with workforce needs and offer a scalable approach for curriculum development. The study provides actionable insights for educators to design responsive and reflective curricula that support the preparation of competent public health professionals in diverse global contexts. Full article

Artificial Intelligence (AI) is rapidly transforming medical education by enabling adaptive tutoring, interactive simulation, diagnostic enhancement, and competency-based assessment. This narrative review explores how AI has influenced learning processes in undergraduate and postgraduate medical training, focusing on methodological rigor, educational impact, and implementation challenges. The literature reveals promising results: large language models can generate didactic content and foster academic writing; AI-driven simulations enhance decision-making, procedural skills, and interprofessional communication; and deep learning systems improve diagnostic accuracy in visually intensive tasks such as radiology and histology. Despite promising findings, the existing literature is methodologically heterogeneous. A minority of studies use controlled designs, while the majority focus on short-term effects or are confined to small, simulated cohorts. Critical limitations include algorithmic opacity, generalizability concerns, ethical risks (e.g., GDPR compliance, data bias), and infrastructural barriers, especially in low-resource contexts. Additionally, the unregulated use of AI may undermine critical thinking, foster cognitive outsourcing, and compromise pedagogical depth if not properly supervised. In conclusion, AI holds substantial potential to enhance medical education, but its integration requires methodological robustness, human oversight, and ethical safeguards. Future research should prioritize multicenter validation, longitudinal evaluation, and AI literacy for learners and educators to ensure responsible and sustainable adoption. Full article

The rapid development of smart home and building technologies requires educational methods that facilitate the integration of theoretical knowledge with practical, system-level design skills. Computer-assisted tools play a crucial role in this process by enabling students to experiment with complex Internet of Things (IoT) and building automation ecosystems in a risk-free, iterative environment. This paper proposes a pedagogical framework that integrates simulation-based prototyping with collaborative and spatial design tools, supported by elements of design thinking and blended learning. The approach was implemented in a master’s-level Smart Building Systems course, to engage students in interdisciplinary projects where virtual modeling, digital collaboration, and contextualized spatial design were combined to develop user-oriented smart space concepts. Analysis of project outcomes and student feedback indicated that the use of simulation and visualization platforms may enhance technical competencies, creativity, and engagement. The proposed framework contributes to engineering education by demonstrating how computer-assisted environments can effectively support practice-oriented, user-centered learning. Its modular and scalable structure makes it applicable across IoT- and automation-focused curricula, aligning academic training with the hybrid workflows of contemporary engineering practice. Concurrently, areas for enhancement and modification were identified to optimize support for group and creative student work. Full article

The slowdown in global progress toward the Sustainable Development Goals (SDGs) highlights the need to develop systems thinking, sustainability literacy, and ethical responsibility among higher-education students. The article presents an innovative educational approach, applicable in various university contexts, which involves the analysis of interdependencies between SDG 2: Zero Hunger and the other SDGs. The methodology included teamwork, brainstorming, a bidirectional analysis of the links between SDG 2 and the other SDGs, and the production of visual materials, and public presentations were followed by interactive debates and collective feedback. The case study presents an innovative educational approach and includes a component for assessing student perceptions through the application of an anonymous questionnaire. The results showed that this method significantly contributed to the development of critical thinking, the capacity for systemic analysis, and a deep awareness of global issues related to food security. The students’ perception was predominantly positive; they appreciated the practical usefulness and personal impact of the educational activity. The conclusions support the transferability of this educational method in various academic contexts, demonstrating that the analysis of interdependencies between SDGs represents a valuable tool for developing transversal skills and a sustainable ethic necessary for future professionals involved in addressing the complexity of global challenges. Full article

Architecture, engineering, and construction (AEC) education requires a radical shift in pedagogical strategies to enhance knowledge retention, critical thinking, practical skills development, and student engagement. The integration of immersive tools such as virtual reality and augmented reality (VR/AR) into AEC curricula has shown enormous potential in enhancing learning outcomes. Despite the increasing popularity of these tools, their adoption for sustainable construction materials and systems such as mass timber building remains underexplored, especially for teaching and facilitating their curricula delivery. This study adopted a systematic review following PRISMA guidelines and a scientometric analysis across key AEC journals. The study synthesizes findings from 69 peer-reviewed articles across three databases. While the findings suggest that VR/AR significantly enhances learning outcomes, key gaps such as lack of standardized evaluation metrics, inadequate faculty training, and a lack of a robust integration framework persist, especially for mass timber and overall sustainability education. This study proposed a foundational framework for VR/AR integration in AEC curricula for mass timbers education and highlighted some pedagogical strategies for bridging the identified gaps. The insights establish the basis for future research that will develop and evaluate a VR-based instructional tool to teach mass timber and sustainable construction education. 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

This work presents a system that integrates infrared thermography with two specially designed devices to enhance learning and promote sustainability awareness among 14-year-old secondary school students in Spain. An experimental and a control group were included in an experimental research design. While the control group attended conventional problem-solving classes, the experimental group participated in practical exercises utilizing thermographic cameras and two custom-built devices. Pretests and post-tests were administered to evaluate students’ theoretical and practical understanding of infrared radiation, physics, sustainability, and energy efficiency. A gender-based stratified analysis was conducted to investigate the possible impact of gender on learning outcomes and to obtain information for encouraging female participation in STEM professions to guarantee objective results. The results revealed statistically significant improvements in post-test scores compared to pretest results, demonstrating enhanced learning outcomes. The experimental group outperformed the control group, confirming the effectiveness of the innovative proposed methodology for learning complex scientific concepts. Additionally, students in the experimental group displayed high levels of curiosity, intrinsic motivation, and satisfaction, as observed through participant observation and a perception survey. While the survey indicated favorable responses regarding satisfaction, self-confidence, and learning, scalability received mixed opinions, potentially due to limited student familiarity with thermography’s broader applications. Overall, these findings underscore the potential of thermography as a powerful educational tool to improve scientific literacy and sustainability awareness. Future research should expand on this approach, exploring applications emphasizing critical thinking and problem-solving skills while leveraging thermographic technology to promote interdisciplinary learning. Full article

Sustainability education has become a global priority in educational systems, aiming to equip learners with the knowledge, values, and skills necessary to address complex environmental and social challenges. This study specifically aims to understand the role of science education in promoting students’ awareness of sustainability and their understanding of the interconnected relationship between humans and the environment, based on the perceptions and practices of primary science teachers in Al-Ahsa, Saudi Arabia. A qualitative approach was utilized, which included semi-structured interviews complemented by classroom observations as primary data collection instruments. The targeted participants comprised a purposive sample consisting of forty-nine primary-level science instructors from the Al-Ahsa district, located in eastern Saudi Arabia. Emergent concepts from open and axial coding processes by using grounded theory were developed with the gathered data. Based on the findings, teachers perceive science teaching not only as knowledge delivery but as an opportunity to cultivate critical thinking and nurture eco-friendly actions among pupils. Classroom practices that underscore environmental values and principles of sustainability foster a transformative view of the teacher’s role beyond traditional boundaries. The data also highlighted classroom practices that integrate environmental values and sustainability principles, reflecting a transformative perspective on the teacher’s educational role. Full article

Current learning and development approaches often struggle to capture dynamic individual capabilities, particularly the skills they acquire informally every day on the job. This dynamic creates a significant gap between what traditional models think people know and their actual performance, leading to an incomplete and often outdated understanding of how ready the workforce truly is, which can hinder organizational adaptability in rapidly evolving environments. This paper proposes a novel dynamic learner-state ecosystem—an AI-driven solution designed to bridge this gap. Our approach leverages specialized AI agents, orchestrated via the Model Context Protocol (MCP), to continuously track and evolve an individual’s multi-dimensional state (e.g., mastery, confidence, context, and decay). The seamless integration of in-workflow performance data will transform daily work activities into granular and actionable data points through AI-powered dynamic xAPI generation into Learning Record Stores (LRSs). This system enables continuous, authentic performance-based assessment, precise skill gap identification, and highly personalized interventions. The significance of this ecosystem lies in its ability to provide a real-time understanding of everyone’s capabilities, enabling more accurate workforce planning for the future and cultivating a workforce that is continuously learning and adapting. It ultimately helps to transform learning from a disconnected, occasional event into an integrated and responsive part of everyday work. Full article

Systems thinking (ST) is a foundational cognitive skillset to advance sustainability education but has not been well examined for learners prior to higher education. This case study research in rural middle schools in the Midwestern U.S. examines systems thinking outcomes of a place-based energy literacy unit focused on energy-efficient building design. The unit employs the science of energy-efficient, green buildings to illuminate the ways in which energy flows between natural and built environments. The unit emphasized electrical, light, and thermal energy systems and the ways these systems interact to create functional and energy-efficient buildings. This study focuses on three case study classrooms where students across schools (n = 89 students) created systems models as part of pre- and post-unit tests (n = 162 models). The unit tests consisted of student drawings, annotations, and writings, culminating into student-developed systems models. Growth from pre- to post-test was observed in both the identification of system elements and the linkages between elements. System elements included in the models were common classroom features, such as windows, lights, and temperature control, suggesting that rooting the unit in place-based teaching may support ST skills. Full article

In an era where digitalization shapes economic and social landscapes, the intersection of digital skills, ethics, and integrity plays a crucial role in understanding the vulnerability of youth classified as NEET (Not in Education, Employment, or Training). This study explores how risky internet use and digital skill gaps contribute to socio-economic exclusion, integrating a multivariate and spatial approach to assess regional disparities in Europe. This study adopts a systems thinking perspective to explore digital exclusion as an emergent outcome of multiple interrelated subsystems. The research employs logistic regression, Principal Component Analysis (PCA) with Promax rotation, and Geographic Information Systems (GIS) to examine the impact of digital behaviors on NEET status. Using Eurostat data aggregated at the country level for the period (2000–2023) across 28 European countries, this study evaluates 24 digital indicators covering social media usage, instant messaging, daily internet access, data protection awareness, and digital literacy levels. The findings reveal that low digital skills significantly increase the likelihood of being NEET, while excessive social media and internet use show mixed effects depending on socio-economic context. A strong negative correlation between digital security practices and NEET status suggests that youths with a higher awareness of online risks are less prone to socio-economic exclusion. The GIS analysis highlights regional disparities, where countries with limited digital access and lower literacy levels exhibit higher NEET rates. Digital exclusion is not merely a technological issue but a multidimensional socio-economic challenge. To reduce the NEET rate, policies must focus on enhancing digital skills, fostering online security awareness, and addressing regional disparities. Integrating GIS methods allows for the identification of territorial clusters with heightened digital vulnerabilities, guiding targeted interventions for improving youth employability in the digital economy. Full article

This study, based on engineering education accreditation standards, addresses the supply–demand imbalance in China’s cybersecurity talent cultivation by constructing a sustainable “education-industry-society” collaborative model. Through case studies at Huaihua University and other institutions, employing methods such as literature analysis, field research, and empirical investigation, we systematically explore reform pathways for an innovative cybersecurity talent development system. The research proposes a “three-platform, four-module” practical teaching framework, where the coordinated operation of the basic skills training platform, comprehensive ability development platform, and innovation enhancement platform significantly improves students’ engineering competencies (practical courses account for 41.6% of the curriculum). Findings demonstrate that eight industry-academia practice bases established through deep collaboration effectively align teaching content with industry needs, substantially enhancing students’ innovative and practical abilities (172 national awards, 649 provincial awards). Additionally, the multi-dimensional evaluation mechanism developed in this study enables a comprehensive assessment of students’ professional skills, practical capabilities, and innovative thinking. These reforms have increased the employment rate of cybersecurity graduates to over 90%, providing a replicable solution to China’s talent shortage. The research outcomes offer valuable insights for discipline development under engineering education accreditation and contribute to implementing sustainable development concepts in higher education. Full article

In the context of the transformation of the modern higher education system, the supra-professional competencies (soft skills) necessary for future specialists in the humanitarian field, in particular, social educators, are of particular importance. The present study is aimed at studying the effectiveness of problem-based learning (PBL) as a method of forming key soft skills among students of the educational program “Social Pedagogy” of the L.N. Gumilyov Eurasian National University. The theoretical part of the study includes an overview of international and domestic scientific discourse on flexible skills and a problem-oriented approach. In the empirical part, the methods of pedagogical experimentation, questionnaires, self-assessment of competencies, and quantitative analysis of the dynamics of soft skill development during the semester were applied. The results indicate a positive correlation between the intensity of students’ participation in PBL practices and the level of development of skills such as critical thinking, teamwork, communicative competence, and time management. The study also identified institutional and methodological barriers to the implementation of PBL in Kazakhstan’s educational practice, including the lack of trained facilitators and the lack of adapted cases. Based on the data obtained, a model of a localized PBL strategy integrated into the training of social educators is proposed. The research contributes to the development of the methodological culture of teacher education and opens up prospects for creating a sustainable system of soft skills formation in universities in Kazakhstan. Full article

Around the world, many post-conflict societies face the pressing challenge of reintegrating former combatants, especially women, into community life in ways that promote peace and sustainable development. Educational strategies that foster Social Innovation, Entrepreneurship, and Complex Thinking are increasingly recognized as essential tools in this process, helping to rebuild social cohesion and empower local leadership. This study evaluates the impact of the SEL4C methodology on strengthening key competencies in Social Entrepreneurship, Innovation, and Complex Thinking among 49 women signatories of the Peace Agreement in Colombia, who currently live in the Mariana Páez Territorial Training and Reincorporation Space (ETCR). Through a pre- and post-intervention design using validated instruments and statistical analyses (paired t-tests and effect size calculations), the study found significant improvements in areas such as Social Awareness, Social Innovation, and Scientific Thinking. Although the gains in Complex Thinking were moderate, the results show that the methodology effectively enhanced leadership skills and the ability to address systemic challenges—both crucial for successful reintegration. In practical terms, the findings support the use of SEL4C by organizations working in peacebuilding, educational institutions, and public programs that seek to empower women in vulnerable contexts. The methodology’s adaptability and evidence-based structure make it a valuable resource for designing participatory training processes focused on innovation, sustainability, and community transformation. Full article