Search Results (3,562)

To address the limitations of the original Preschool Education Optimization Algorithm (PEOA) in population diversity preservation and late-stage convergence accuracy, this paper proposes a Multi-strategy Enhanced Preschool Education Optimization Algorithm (MEPEOA). The proposed algorithm integrates an improved population initialization strategy, a multi-strategy collaborative search mechanism, adaptive regulation, and boundary control to achieve a more effective balance between global exploration and local exploitation. The performance of MEPEOA is comprehensively evaluated on IEEE CEC2017 and CEC2022 benchmark suites and compared with several state-of-the-art metaheuristic algorithms, including EWOA, MPSO, L_SHADE, BKA, ALA, BPBO, and the original PEOA. Experimental results demonstrate that MEPEOA achieves superior optimization accuracy and stability on the majority of benchmark functions. For example, on CEC2017 with 30 dimensions, MEPEOA reduces the average fitness value of multimodal function F9 by approximately 73.6% compared with PEOA and by more than 47% compared with EWOA. In terms of stability, the standard deviation of MEPEOA on function F6 is only 4.13 × 10⁻³, which is several orders of magnitude lower than those of EWOA, MPSO, and BKA, indicating highly consistent convergence behavior. Furthermore, MEPEOA exhibits clear advantages in convergence speed and robustness, achieving the best Friedman mean rank across all tested benchmark suites. In addition, MEPEOA is applied to a two-dimensional grid-based path planning problem, where it consistently generates shorter and more stable collision-free paths than competing algorithms. Overall, the proposed MEPEOA demonstrates strong robustness, fast convergence, and superior stability, making it an effective and extensible solution for complex numerical optimization and practical engineering problems. Full article

Mobile augmented reality games (MARGs) generate rich digital traces of how students engage with complex, place-based learning tasks. This study analyses gameplay logs from the Art Nouveau Path, a location-based MARG within the EduCITY Digital Teaching and Learning Ecosystem (DTLE), to develop a learning analytics workflow that uses detailed gameplay logs to inform sustainability-focused educational design. During the post-game segment of a repeated cross-sectional intervention, 439 students in 118 collaborative groups completed 36 quiz tasks at 8 Art Nouveau heritage Points of Interest (POI). Group-level logs (4248 group-item responses) capturing correctness, AR-specific scores, session duration and pacing were transformed into interpretable indicators, combined with error mapping and cluster analysis, and triangulated with post-game open-ended reflections. Results show high overall feasibility (mean accuracy 85.33%) and a small subset of six conceptually demanding items with lower accuracy (mean 68.36%, range 58.47% to 72.88%) concentrated in specific path segments and media types. Cluster analysis yields three collaborative gameplay profiles, labeled ‘fast but fragile’, ‘slow but moderate’ and ‘thorough and successful’, which differ systematically in accuracy, pacing and engagement with AR-mediated tasks. The study proposes a replicable event-based workflow that links mobile AR gameplay logs to design decisions for heritage-based education for sustainability. Full article

Academic Development (AD) represents a fundamental strategy for improving the quality of university teaching in the digital era. This entry proposes a critical analysis of technologies supporting AD, examining theoretical models, emerging practices, and contemporary challenges through a systematic review of academic literature. The TPACK (Technological Pedagogical Content Knowledge) framework emerges as a crucial model for the effective integration of educational technologies, while innovative approaches such as blended learning, flipped classroom, and communities of practice demonstrate significant potential in promoting teaching innovation. However, the analysis highlights structural criticalities: resistance to change, lack of institutional recognition, technological pedagogical gaps, and identity tensions related to the teaching role. The concept of “Age of Evidence” orients future perspectives toward evidence-based, personalized, and collaborative programs. The entry concludes with operational recommendations for policymakers and institutions, emphasizing the need for systemic investments that valorize teaching as a core scholarly activity. The original contribution lies in the critical integration of established theoretical frameworks with analysis of post-pandemic transformations and in identifying strategic directions to make universities “transformative” in addressing global challenges of sustainability, technological innovation, and critical thinking education. Full article

Even though environmental health and climate change are rapidly intensifying the severity of determinants of disease and inequity, training for health professionals in these areas remains fragmented across Europe. To address this gap, the European Medical Association (EMA), in collaboration with the European Network on Climate and Health Education (ENCHE), the International Network on Public Health and Environment Tracking (INPHET) and University College London, convened a one-day hybrid roundtable in London on 17 September 2025, focused on “Preparing Health Professionals for Environmental Health and Climate Change: A Challenge for Europe”. The programme combined keynote presentations on global and European policy, health economics and curriculum design with three disease-focused roundtables (respiratory, cardiovascular and neurological conditions), each examining the following topics: (A) climate and environment as preventable causes of disease; (B) healthcare as a source of environmental harm; and (C) capacity building through education and training. Contributors highlighted how environmental epidemiology, community-based prevention programmes and sustainable clinical practice can be integrated into teaching, illustrating models from respiratory, cardiovascular, surgical and neurological care. EU-level speakers outlined the policy framework (European Green Deal, Zero Pollution Action Plan and forthcoming global health programme) and tools through which professional and scientific societies can both inform and benefit from European action on environment and health. Discussions converged on persistent obstacles, including patchy national commitments to decarbonising healthcare, isolated innovations that are not scaled and curricula that do not yet embed sustainability in examinable clinical competencies. The conference concluded with proposals to develop an operational education package on environmental and climate health; map and harmonise core competencies across undergraduate, postgraduate and Continuing -professional-development pathways; and establish a permanent EMA-led working group to co-produce a broader position paper with professional and scientific societies. This conference report summarises the main messages and is intended as a bridge between practice-based experience and a formal EMA position on environmental-health training in Europe. Full article

Artificial Intelligence (AI) systems typically inherit biases from their training data, leading to discriminatory outcomes that undermine equity and inclusion. This issue is particularly significant when popular Generative AI (GAI) applications are used in educational contexts. To respond to this challenge, the study evaluates the effectiveness of dialogic reflection-based training for educators in identifying and mitigating biases in AI. Furthermore, it considers how these sessions contribute to the advancement of algorithmic justice and inclusive practices. A key component of the proposed training methodology involved equipping educators with the skills to design inclusive prompts—specific instructions or queries aimed at minimizing bias in AI outputs. This approach not only raised awareness of algorithmic inequities but also provided practical strategies for educators to actively contribute to fairer AI systems. A qualitative analysis of the course’s Moodle forum interactions was conducted with 102 university professors and graduate students from diverse regions of the Dominican Republic. Participants engaged in interactive activities, debates, and practical exercises addressing AI bias, algorithmic justice, and ethical implications. Responses were analyzed using Atlas.ti across five categories: participation quality, bias identification strategies, ethical responsibility, social impact, and equity proposals. The training methodology emphasized collaborative learning through real case analyses and the co-construction of knowledge. The study contributes a hypothesis-driven model linking dialogic reflection, bias awareness, and inclusive teaching, offering a replicable framework for ethical AI integration in higher education. Full article

This comprehensive review synthesizes current advances and persistent challenges in integrating worker safety and food safety through human-robot collaboration (HRC) in poultry processing. Rapid industry expansion and rising consumer demand for ready-to-eat poultry products have heightened occupational risks and foodborne contamination concerns, necessitating holistic safety strategies. The review examines ergonomic, microbiological, and regulatory risks specific to poultry lines, and maps how state-of-the-art collaborative robots (“cobots”)—including power and force-limiting arms, adaptive soft grippers, machine vision, and biosensor integration—can support safer, more hygienic, and more productive operations. The authors analyze technical scientific literature (2018–2025) and real-world case studies, highlighting how automation (e.g., vision-guided deboning and intelligent sanitation) can reduce repetitive strain injuries, lower contamination rates, and improve production consistency. The review also addresses the psychological and sociocultural dimensions that affect workforce acceptance, as well as economic and regulatory barriers to adoption, particularly in small- and mid-sized plants. Key research gaps include gripper adaptability, validation of food safety outcomes in mixed human-cobot workflows, and the need for deeper workforce retraining and feedback mechanisms. The authors propose a multidisciplinary roadmap: harmonizing ergonomic, safety, and hygiene standards; developing adaptive food-grade robotic end-effectors; fostering explainable AI for process transparency; and advancing workforce education programs. Ultimately, successful HRC deployment in poultry processing will depend on continuous collaboration among industry, researchers, and regulatory authorities to ensure both safety and competitiveness in a rapidly evolving global food system. Full article

Large Language Models (LLMs) are increasingly used in higher education, but their pedagogical role in fields like cybersecurity remains under-investigated. This research explores integrating LLMs into a university cybersecurity course using a designed pedagogical approach based on active learning, problem-based learning (PBL), and computational thinking (CT). Instead of viewing LLMs as definitive sources of knowledge, the framework sees them as cognitive tools that support reasoning, clarify ideas, and assist technical problem-solving while maintaining human judgment and verification. The study uses a qualitative, practice-based case study over three semesters. It features four activities focusing on understanding concepts, installing and configuring tools, automating procedures, and clarifying terminology, all incorporating LLM use in individual and group work. Data collection involved classroom observations, team reflections, and iterative improvements guided by action research. Results show that LLMs can provide valuable, customized support when students actively engage in refining, validating, and solving problems through iteration. LLMs are especially helpful for clarifying concepts and explaining procedures during moments of doubt or failure. Still, common issues like incomplete instructions, mismatched context, and occasional errors highlight the importance of verifying LLM outputs with trusted sources. Interestingly, these limitations often act as teaching opportunities, encouraging critical thinking crucial in cybersecurity. Ultimately, this study offers empirical evidence of human–AI collaboration in education, demonstrating how LLMs can enrich active learning. Full article

With the advancement of artificial intelligence and educational informatization, there is a growing demand for intelligent teaching assistance systems in universities. Focusing on the university “Algorithms” course in the computer science department, this study develops a multi-terminal collaborative knowledge service system, Course-Oriented Knowledge Service–Based AI Teaching Assistant System (CKS-AITAS), which consists of a PC terminal and a mobile terminal, where the PC terminal integrates functions including knowledge graph, semantic retrieval, intelligent question-answering, and knowledge recommendation. While the mobile terminal enables classroom check-in and teaching interaction, thus forming a closed-loop platform for teaching organization, resource acquisition, and knowledge inquiry. For the document retrieval module, paragraph-level semantic modeling of textbook content is conducted using Word2Vec, combined with approximate nearest neighbor indexing, and this module achieves an MRR@10 of 0.641 and an average query time of 0.128 s, balancing accuracy and efficiency; the intelligent question-answering module, based on a self-built course FAQ dataset, is trained via the BERT model to enable question matching and answer retrieval, achieving an accuracy rate of 86.3% and an average response time of 0.31 s. Overall, CKS-AITAS meets the core teaching needs of the course, provides an AI-empowered solution for university teaching, and boasts promising application prospects in facilitating education sustainability. Full article

This article presents a conceptual framework linking responsible leadership competencies to organizational processes relevant for sustainability transformation. A leader’s personal impact is conceptualized as indirect through organizational governance, prioritization, collaboration, and innovation. The article provides a conceptual mapping approach that systematically connects individual leadership competencies with strategic organizational impact areas. The framework builds on the Competency Assessment for Responsible Leadership (CARL) and the Positive Impact Organization (PIO) concept to relate leadership capabilities to organizational transformation requirements. Five responsible leadership competencies—ethics and values, self-awareness, stakeholder relations, change and innovation, and systems thinking—are mapped to five organizational impact areas: governance alignment, sustainability culture, external stakeholder validation, purpose-driven product and service innovation, and transformative sustainability. The article identifies how specific leadership competencies align with distinct organizational leverage points, clarifying the mechanisms through which leaders shape structures, decision processes, cultural norms, and innovation pathways associated with sustainability transformation. By specifying these relationships, the framework distinguishes leadership impact at the organizational level and provides a structured basis for analyzing how leadership competencies contribute to an organization’s capacity for societal and environmental contribution. The framework is applicable to research on responsible leadership and business sustainability and informs leadership development and management education concerned with sustainability-oriented organizational change. Full article

This Children in Cities research project examines an approach to storying research that foregrounds collaborative meaning-making between educators and young children in their city. Through exploring how educators and young children might “think otherwise” about teaching, learning, and participation with history, Place noticing and entanglements between humans, more-than-human, and non-humans, three stories and a metaphor surface in the data. Drawing on three stories, metaphor is employed as an analytic and integrative device to deepen interpretation of lived experiences. Central to the methodology is a democratic orientation that seeks to reduce hierarchical boundaries, engaging children aged 3–5 as co-researchers in the selection, interpretation, and representation of stories. This positioning recognizes children as competent participants whose perspectives offer valuable contributions to life learning such as storying Place and taking up socio-historical responsibilities. Findings suggest that such visits with city places can broaden conceptions of fairness in early childhood education, fostering more welcoming and relational approaches to both research and teaching. Full article

This paper investigates how Scottish rural schools engage with their broader educational landscape, particularly through collaborative practices and capacity-building efforts. It examines how these schools cultivate a culture of partnership, both among institutions and within their communities, to strengthen leadership and enhance teaching and learning. Guided by Place-Based Education (PBE) as its conceptual framework, the study emphasises equity challenges rooted in local contexts and situates rural education within Scotland’s historical, societal, and policy landscape. Drawing on qualitative case studies of five schools, data were collected through semi-structured interviews with principals and supported by documentary evidence and student attainment data from national assessments. The findings showcase school leaders’ efforts to enhance social and educational outcomes and build sustainable, equity-driven systems. The paper concludes with implications for policy and practice, addressing equitable access, workforce recruitment and retention, and the potential for schools to collaborate with local and regional stakeholders to strengthen rural education. Full article

Virtual Field Trips (VFTs) have emerged as an alternative to Traditional Field Trips (TFTs), addressing logistical, financial, and accessibility constraints in geoscience education. This study presents a comparative analysis of the educational impact of a VFT and a TFT implemented with the same 10th-grade class in a Portuguese secondary school. The VFT, focused on volcanism and its socioeconomic impacts, used Google Earth to explore the island of São Miguel in the Azores. The TFT, centred on the rock cycle, was conducted at the Lavadores Beach geological site. Both interventions followed the field-based learning model by Orion and were structured around three phases: preparation, field trip (virtual or traditional), and post-activity synthesis. Data was collected through diagnostic tests, schematization, observation grids, student reports (snapshot), group projects, and written responses to a fieldwork guide recorded on Padlet during the VFT and TFT. The results showed that both VFTs and TFTs enhance conceptual understanding and student engagement, though they foster different skills: VFTs strengthen digital literacy, improve accessibility and inclusion for students with mobility or geographic constraints, allow for content revisitation, foster collaboration among students, integrate multimedia resources, and enable virtual exploration of remote locations that would otherwise be inaccessible. They also offer reduced costs, greater scheduling flexibility, and allow for individualised pacing of student learning. In contrast, TFTs provide richer sensory and practical experiences that are essential for hands-on scientific inquiry and foster stronger connections with the natural environment. The study concludes that a complementary use of both strategies offers the most inclusive and effective approach to teaching geosciences. Full article

The incorporation of digital music into the reform of education has become one of the primary methods to improve educational outcomes, increase creativity, and innovate the practices in the classroom. This combination, together with the close industry–academia cooperation, presents the possibilities to integrate educational strategies in accordance with the technological and creative demands of the contemporary world. Nevertheless, uncertainty, reluctance, symmetry, and subjectivity in expert ratings are significant problems to cope with when considering multi-criteria decision-making (MCDM). To resolve them, this paper suggests a Picture Fuzzy Faire Un Choix Adequat (PF-FUCA) decision support model, where fifteen options will be rated by seven criteria, depending on the contribution of four professional decision-makers. These findings indicate that the PF-FUCA framework is effective and superior to the current PF-MCDM models, as illustrated by sensitivity and comparison analysis. The identified best strategies based on the framework are blockchain-based music copyright education and integrated music–STEM platforms that, when combined, offer a viable policy instrument to policymakers, educators, and industry stakeholders. Full article

Cooperative learning, a pedagogical approach emphasizing structured collaboration and mutual responsibility, has been associated with academic and social benefits, yet its influence on adolescents’ prosocial and antisocial behaviors remains underexplored. This study examined the relationships between cooperative learning, affective experiences, and social behavior in adolescent students. A total of 261 adolescent students (M = 13.06 years, SD = 0.86) from Greece participated in this cross-sectional study. Data were collected via questionnaires assessing perceptions of cooperative learning, enjoyment, vitality, and prosocial/antisocial behaviors toward teammates and opponents. Factor analyses confirmed the validity of the Greek versions of the instruments. Path analysis revealed that contextual elements of cooperative learning explained a significant proportion of variance in enjoyment and vitality, which in turn predicted prosocial behavior toward both teammates and opponents. Specifically, enjoyment and vitality were positively associated with prosocial orientations, whereas vitality negatively predicted antisocial behavior toward teammates. Unexpectedly, group reflection and heterogeneity emerged as negative predictors of enjoyment and vitality, while interaction showed marginal positive effects. Indirect effects indicated that cooperative learning dimensions influenced social behavior primarily through enjoyment and vitality. These findings suggest that positive affective states mediate the impact of cooperative learning on students’ social conduct in PE. Implications for practice highlight the importance of carefully designing cooperative structures to enhance enjoyment and vitality while fostering prosocial interactions during adolescence. Full article

This study examines the profiles of secondary special education teachers regarding their readiness for inclusive teaching, with technology-enhanced practices operationalized through participation in STEAM-related professional development. A total of 323 teachers from vocational high schools and integration classes participated. Four indicators of professional preparation were assessed: years of teaching experience, formal STEAM training, exposure to students with special educational needs (SEN), and perceived success in inclusive teaching, operationalized as self-reported competence in adaptive instruction, classroom management, positive attitudes toward inclusion, and collaborative engagement. Cluster analysis revealed three distinct teacher profiles: less experienced teachers with moderate perceived success and limited exposure to students with SEN; well-prepared teachers with high levels across all indicators; and highly experienced teachers with lower STEAM training and perceived success. These findings underscore the need for targeted professional development that integrates inclusive and technology-enhanced pedagogy through STEAM and is tailored to teachers’ experience levels. By integrating inclusive readiness, STEAM-related preparation, and technology-enhanced pedagogy within a person-centered profiling approach, this study offers actionable teacher profiles to inform differentiated professional development in secondary special education. Full article