Search Results (949)

This paper examines the integration of Scratch programming software into primary education to enrich learning experiences and promote essential programming skills. It examines gender differences in attitudes towards programming, explores game-based learning (GBL) in the Curriculum for Excellence (CfE) in Scotland, and addresses the design of algorithmic resources in France. Through qualitative analysis, it assesses theeffectiveness of Scratch in teaching and learning, thereby contributing to improvements in the educational program and the programming curriculum in primary schools. Full article

Core mathematics courses are fundamental to the academic success of engineering students in higher education. These courses equip students with skills and knowledge applicable to their specialized fields. However, first-year engineering students often face significant challenges in mathematics due to a range of factors, including insufficient preparation, mathematics anxiety, and difficulty connecting theoretical concepts to real-life applications. The transition from secondary to tertiary mathematics remains a key area of educational research, with ongoing discussions about effective pedagogical approaches for teaching engineering mathematics. This study utilized a belief survey to gain general insights into the attitudes of first-year mathematics students towards the subject. In addition, it employed the activity theory framework to conduct a deeper exploration of the experiences of first-year engineering students, aiming to identify contradictions, or “tensions,” encountered within a flipped-classroom learning environment. Quantitative data were collected using surveys that assessed students’ self-reported confidence, competence, and knowledge development. Results from Friedman’s and Wilcoxon’s Signed-Rank Tests, conducted with a sample of 20 participants in 10 flipped-classroom sessions, statistically showed significant improvements in all three areas. All of Friedman’s test statistics were above 50, with p-values below 0.05, indicating meaningful progress. Similarly, Wilcoxon’s Signed-Rank Test results supported these findings, with p values under 0.05, leading to the rejection of the null hypothesis. The qualitative data, derived from student questionnaire comments and one-to-one interviews, elucidated critical aspects of flipped-classroom delivery. The analysis revealed emerging contradictions (“tensions”) that trigger “expansive learning”. These tensions encompassed the following: student expectation–curriculum structure; traditional versus novel delivery systems; self-regulation and accountability; group learning pace versus interactive learning; and the interplay between motivation and anxiety. These tensions are vital for academic staff and stakeholders to consider when designing and delivering a first-year mathematics course. Understanding these dynamics can lead to more effective, responsive teaching practices and support student success during this crucial transition phase. Full article

In this paper, we report how digital resources support engineering students in the early stages of mathematical modelling within a Challenge-Based Education (CBE) course. The study was conducted in a second-year engineering course involving mathematics, physics, and ethics. Through a case study of two student teams, we analyze how a digital curriculum resource—specifically, a dashboard designed for feedback and progress monitoring—helped students identify, define, and begin modelling a real-world problem related to crowd flow on train platforms. Using the instrumental approach, we examined the dual processes of instrumentation (integration of resources) and instrumentalization (adaptation and repurposing of tools). Results show that the Dashboard played a central role in fostering self-regulated learning, interdisciplinary collaboration, and the iterative refinement of guiding questions. Students used data analysis, simulations, and modelling techniques to build and validate mathematical representations in answer to the guiding questions. Our findings contribute to ongoing discussions on how mathematics education in engineering can be enhanced through activity-based learning and targeted use of digital tools. We argue that digital feedback systems like dashboards can bridge the gap between abstract mathematical content and its meaningful application in engineering contexts, thus fostering engagement, autonomy, and authentic learning. 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

Education about epilepsy plays a vital role in reducing stigma, improving seizure response, and preventing school dropout among affected learners. Despite this importance, there is a lack of a structured conceptual framework guiding epilepsy education in primary schools, where children’s foundational learning and social development take place. This study aims to develop a conceptual framework that integrates epilepsy education into the life skills curriculum to reduce epilepsy-related stigma from an early age. A qualitative multi-methods approach was employed during the empirical phase, which was conducted in two stages using an exploratory–descriptive design. Data were collected from teachers, life skills education advisors (LEAs), and learners to explore their views on incorporating epilepsy education into the life skills curriculum of primary schools. The findings informed the development of a conceptual framework guided by the Three-Legged Stool Model and Dickoff’s Practice-Oriented Theory. This educational framework is tailored for primary school settings and highlights the roles of learners and teachers in promoting self-esteem through knowledge acquisition, value formation, and skill development, all underpinned by the Ubuntu philosophy. Full article

The precise mapping of rock joint traces is fundamental to the design and safety assessment of foundations, retaining structures, and underground cavities in building and civil engineering. Existing deep learning approaches either impose prohibitive computational demands for on-site deployment or disrupt the topological continuity of subpixel lineaments that govern rock mass behavior. This study presents BATNet-Lite, a lightweight encoder–decoder architecture optimized for joint segmentation on resource-constrained devices. The encoder introduces a Boundary-Aware Token-Mixing (BATM) block that separates feature maps into patch tokens and directionally pooled stripe tokens, and a bidirectional attention mechanism subsequently transfers global context to local descriptors while refining stripe features, thereby capturing long-range connectivity with negligible overhead. A complementary Multi-Scale Line Enhancement (MLE) module combines depth-wise dilated and deformable convolutions to yield scale-invariant responses to joints of varying apertures. In the decoder, a Skeletal-Contrastive Decoder (SCD) employs dual heads to predict segmentation and skeleton maps simultaneously, while an InfoNCE-based contrastive loss enforces their topological consistency without requiring explicit skeleton labels. Training leverages a composite focal Tversky and edge IoU loss under a curriculum-thinning schedule, improving edge adherence and continuity. Ablation experiments confirm that BATM, MLE, and SCD each contribute substantial gains in boundary accuracy and connectivity preservation. By delivering topology-preserving joint maps with small parameters, BATNet-Lite facilitates rapid geological data acquisition for tunnel face mapping, slope inspection, and subsurface digital twin development, thereby supporting safer and more efficient building and underground engineering practice. Full article

This study investigates the certification outcomes of intermediate-level ICs in The National Fire Service Academy in South Korea through a comprehensive quantitative analysis of their evaluated competencies. Using assessment data from 141 candidates collected from 2022 to 2024, we examine how scores on six higher-order competencies—comprising 35 sub-competencies—influence pass or fail results. Descriptive statistics, correlation analysis, logistic regression (a statistical model for binary outcomes), random forest modeling (an ensemble decision-tree machine-learning method), and principal component analysis (PCA; a dimensionality reduction technique) were applied to identify significant predictors of certification success. Visualization techniques, including heatmaps, box plots, and importance bar charts, were used to illustrate performance gaps between successful and unsuccessful candidates. Results indicate that competencies related to decision-making under pressure and crisis leadership most strongly correlate with positive outcomes. Furthermore, unsupervised clustering analysis (a data-driven grouping method) revealed distinctive performance patterns among candidates. These findings suggest that current evaluation frameworks effectively differentiate command readiness but also highlight specific skill domains that may require enhanced instructional focus. The study offers practical implications for fire training academies, policymakers, and certification bodies, particularly in refining curriculum design, competency benchmarks, and evaluation criteria to improve fireground leadership training and assessment standards. Full article

This entry is based on the premise that pressing issues of climate change, social injustice, and post-COVID practices appear to have superseded some essential values of architectural and design pedagogy, leading to improvements in content that may be offset by a loss of focus on the core curriculum. The entry reimagines architectural pedagogy by arguing for a transformative shift from traditional product-based education to a process-oriented, inquiry-driven approach that cultivates critical thinking and empirical making, predicated upon experiential learning. It aims to integrate rigorous critical inquiry into both studio-based and lecture-based settings, thus critiquing assumed limitations of conventional approaches that prioritise final outcomes over iterative design processes, dialogue, and active engagement. Employing a comprehensive qualitative approach that incorporates diverse case studies and critical reviews, the analysis is divided into two main threads: one that places emphasis on the studio environment and another that focuses on lecture-based courses. Within these threads, the analysis is structured around a series of key themes central to experiential learning, each of which concludes with a key message that synthesises the core insights derived from case studies. The two threads instigate the identification of aligned areas of emphasis which articulate the need for active engagements and reflection, for bridging theory and practice, and for adopting interdisciplinary and experiential approaches. Conclusions are drawn to establish guidance for a future direction of a strengthened and pedagogically enriched architectural education. Full article

Personalized, scalable, and data-driven learning is now possible in cyber science education because of artificial intelligence (AI). This article examines how AI technologies, such as intelligent tutoring, adaptive learning, virtual labs, and AI assessments, are being included in cyber science curricula. Using examples and research studies published between 2020 and 2025 that have undergone peer review, this paper combines qualitative analysis and framework analysis to discover any similarities in how these policies were put into place and their effects. According to the findings, using AI in instruction boosts student interest, increases the number of courses finished, improves skills, and ensures clear instruction in areas such as cybersecurity, digital forensics, and incident response. Ethical issues related to privacy, bias in algorithms, and access issues are also covered in this paper. This study gives a useful approach that helps teachers, curriculum designers, and institution heads use AI in cyber education properly. Full article

Lack of food security is a major threat at the local and global levels. This research focused on the design and implementation of a school garden at Carlos Albán Holguín school as a strategy to ensure food for vulnerable communities and promote environmental education. This project was structured in six stages including diagnosis, characterization, formulation, and pilot validation. Data were collected through surveys and checklists, which evaluated the garden’s conditions and students’ understanding of environmental practices. Key findings revealed significant improvements in students’ knowledge of sustainable agriculture upon implementing the garden, with 75% demonstrating outstanding comprehension and 80% effectively applying organic farming principles. Promoting and implementing urban agriculture benefits surrounding communities, reduces environmental impact, promotes social awareness of current food security challenges, and promotes economic growth in cities. The main conclusion of this research is that integrating environmental education within the school curriculum can significantly enhance food security and foster environmental stewardship. This research underscores the importance of sustainable urban gardens in addressing nutritional deficiencies and promoting sustainable agriculture practices in urban settings. Full article

Exploring learning trajectories based on student thinking is needed to develop the teaching curricula, practices and educational support materials in mathematics for students with visual impairments. Hence, this study aims to reveal student thinking through various instructional tasks and tactile materials to explore the sequence of goals in the learning trajectory. A teaching experiment involving introductory information on algebraic and visual representations regarding advanced mathematical concepts was designed for correspondence and relations. The research was carried out with a braille-literate 10th-grade high school student with a congenital visual impairment where colour and light are not perceived in Türkiye. As a result of the teaching experiment, the participant was able to determine the correspondence and relations between two sets using different representations. He even designed graphic representations using the needle page. The learning trajectory goals and instructional tasks can serve as guides for research on curriculum development, practice design and material development. Full article

Background/Objectives: Empathy is a core competency in nursing, contributing to patient care quality and professional resilience. This study investigated empathy levels among Greek undergraduate nursing students at the University of Peloponnese and examined the personal and educational factors that contribute to empathic development. Methods: A cross-sectional survey was conducted with 144 students from all academic years using the Jefferson Scale of Physician Empathy—Health Professions (JSPE-HP) and the SF-12 Health Survey. Data were analyzed using ANOVA and stepwise multiple linear regression. Results: Mean empathy scores were relatively high (M = 110.31, SD = 10.52). Empathy increased significantly with academic progression (p < 0.001), and higher scores were associated with parental status (p = 0.030) and better mental health (p = 0.044). Conversely, students with a chronically ill close contact reported lower empathy (p = 0.018). Regression analysis identified having children and exposure to chronic illness as significant predictors. Conclusions: Educational progression, life experience, and well-being are key contributors to empathy development. These insights support strategies to enhance empathy through curriculum design, student support, and wellness programs. Integrating empathy training into management policy can foster professional growth, reduce burnout, and improve patient care and workforce sustainability. Full article

This paper describes the ScratchJr Bots project aimed at helping young children develop maker literacies, which is the ability to design, program, and build technology-rich projects with developmentally appropriate tools to express themselves. Maker literacies can involve hands-on learning, collaborative experimentation, critical thinking, and problem-solving, as well as the development of socio-emotional skills. By engaging with the design process, children become active creators rather than passive consumers—brainstorming ideas, prototyping, testing, and making improvements toward sharing a final project. Maker literacies engage children in Positive Technological Development in the form of six behaviors—content creation, creativity, choices of conduct, communication, collaboration, and community building. Additionally, children develop character strengths, or virtues, such as patience, generosity, and forgiveness while making. This paper will first introduce the concept of maker literacies as it applies to early childhood and the theoretical background supporting this work. Then, it will introduce the ScratchJr Bots project developed by the DevTech Research Group, a new technology and curriculum that affords the development of maker literacies. Finally, by using design-based research as the methodological approach, two pilot projects are described, including children’s learning experiences, to illustrate the positive behaviors and character strengths that children can exhibit while engaging with ScratchJr Bots. Full article

The recent reform of the preschool curriculum in Latvia signifies a paradigm shift with the objective of fostering holistic skill development. The success of this implementation is largely attributed to the pivotal role played by teacher perspectives. The present study investigates the views of pre-service early childhood teachers in Latvia on the transformation of the preschool mathematics education curriculum following the reform in 2019. A descriptive research design was employed, involving 54 focus group discussions with 271 part-time students from the University of Latvia and its regional branches. During the focus group discussions, participants analyzed and compared the changes in aims, content, assessment practices, and instructional strategies in mathematics education at the preschool level across mathematics curricula. The findings indicate an increasing appreciation for clarity in instruction, age-appropriate design, and the shift towards interactive, skills-based strategies. While prospective teachers generally support the aim of the reform, there are evident gaps in their understanding of formative assessment, integration of parental involvement, and promotion of higher-order thinking and real-life problem-solving. The study emphasizes the significance of enhancing teacher training, curriculum design, and educational policy to facilitate effective and meaningful implementation of the revised mathematics curriculum in preschool contexts. Full article