Search Results (99)

The research on teaching scaffolding for preschool children’s oral language development (OLD) has become an important topic in the academic world. However, there remains a lack of evidence-based research on the integration of scaffolding strategies integrated into creative art contexts to support children’s creative expression and language production. In this study, a qualitative case study was conducted to analyze the non-participatory observation and artwork analysis of five-year-old children’s drawing activities in a kindergarten in China based on socio-cultural and scaffolding theories. Three types of core scaffolding strategies were summarized. The findings reveal that the three strategies work together dynamically within the children’s Zone of Proximal Development (ZPD): (1) the visual prompt strategy enriches the vocabulary diversity of metaphors, adjectives, and ordinal words; (2) dialogic narrative co-construction effectively improves narrative coherence across exposition, rising action, climax, and resolution; and (3) emotional engagement strategies foster a safe expressive environment, promoting the integration of affective vocabulary with intrinsic motivation. Accordingly, a three-dimensional integrated “visual-linguistic-emotional” scaffolding model was constructed, emphasizing the practical guidelines of simultaneous scaffolding and gradual scaffolding withdrawal during the warm-up, creation, and sharing sessions of the drawing activity. This study expands the application of scaffolding theory in unstructured art contexts, and provides a systematic practical framework for the design of cross-contextual language support strategies and teacher training in preschool education. Full article

With the increasing diversification of modern home textile design (HTD), the integration of traditional cultural elements has become an important trend. This study investigates the impact of symmetry in traditional patterns on the optimization of home textile product design and examines its role in consumer acceptance. First, the affinity diagram method was employed to collect core affective vocabularies. Based on a selection of home textile products incorporating traditional patterns available in the market, a questionnaire was developed to solicit consumers’ evaluations of these affective descriptors. Principal component analysis (PCA) was conducted to extract key perceptual dimensions, with particular emphasis on the influence of pattern symmetry on consumer perception. Subsequently, the Fuzzy Analytic Hierarchy Process (FAHP) was applied to determine the relative weights of the affective terms. Incorporating expert input, five representative traditional patterns from the Homespun Fabric of Jiangnan (HFoJ) were selected and reinterpreted with a focus on symmetrical design. Through the Quality Function Deployment (QFD) method, the effective vocabularies were mapped to the redesigned patterns, leading to the identification of the scheme that most effectively embodied the symmetrical principle for integration into HTD. Finally, the Grey Relation Analysis (GRA) was used to conduct a comprehensive evaluation of multiple design alternatives. The optimal design was selected and subsequently validated through consumer feedback to assess its market feasibility. This study contributes a symmetric approach to the application of symmetry in traditional pattern design, offering both traditional insights and practical guidance for the modernization and innovative transformation of cultural elements in HTD. Full article

Generative tools often lack the guidance of scientific design methods in the design of non-heritage products. This study proposes a new Stingray model, which collects perceptual vocabularies of modeling and other aspects by integrating the perceptual engineering method to clarify the design direction and establishes the design objectives by ranking the importance of the vocabularies using the Analytic Hierarchy Process (AHP) hierarchical analysis method. Taking the Joon County clay sculpture as an example, this study uses generative tools to achieve the innovation of packaging patterns, selects sustainable materials such as straw to complete the sustainable non-heritage packaging design, and verifies its feasibility using the TOPSIS method. The results show that the new Stingray model effectively integrates multiple design methods and solves the subjectivity and feasibility deficiencies of a single model. Meanwhile, the system-guided generative tool significantly improved design efficiency and simplified program adjustment. This study provides theoretical support for generative tools and opens a new path for the sustainable development of non-heritage packaging. Full article

Sustainability is a modern design philosophy, and this concept prompted this study to focus on the possibility of achieving sustainability principles practically by using artificial intelligence techniques to create sustainable contemporary furniture elements inspired by the heritage and arts of Arabic calligraphy. Heritage-inspired design has cultural meaning and significance as a type of sustainable thinking. Arabic calligraphy has multiple forms and the possibility of adapting it, in addition to its role in enriching the cultural and creative stock. This study aimed to benefit from Arabic calligraphy as a source to enrich and sustain furniture design that is characterized by authenticity and modernity, and to preserve a heritage design product by reformulating it using artificial intelligence methods. In a way that enhances belonging and preserves the community’s heritage and values from extinction, this study followed the descriptive analytical approach in identifying the origins and characteristics of Arabic calligraphy, analyzing its vocabulary, reformulating it, and drawing inspiration from it to enrich furniture designs, in addition to the experimental approach in the applied study through the use of different techniques and materials. The results of this study concluded that there are various aesthetic values in the use of Arabic calligraphy that can be used to create contemporary furniture designs using artificial intelligence techniques to preserve its sustainability. In addition to opening up broad possibilities for creativity and innovation by integrating Arabic calligraphy into furniture design using artificial intelligence technology, this study recommended the need to pay attention to studying the sustainability of heritage and arts in general in appreciation of art and its preservation. Full article

The digitization of cultural and intellectual heritage is expanding the research scope and methodologies of the scientific discipline of Humanities. Culturally diverse epigraphic systems reveal a range of methodological impediments on the way to their integration into digital epigraphic data preservation systems—EAGLE and FAIR ontologies predominantly based on Greco-Roman cultural categorization. We suggest an interdisciplinary approach—drawing from Heritage Studies, Cultural Epistemology, and Social Semiotics—to ensure the comprehensive encoding, preservation, and accessibility of at-risk cultural artifacts. Heritage Studies emphasize inscriptions as material reflections of historical memory. Cultural Epistemology helps us to understand how different knowledge systems influence data categorization, while semiotic analysis reveals how inscriptions function within their social and symbolic contexts. Together, these methods guide the integration of culturally specific information into broader digital infrastructures. The case of Ukrainian epigraphy illustrates how this approach can be applied to ensure that local traditions are accurately represented and not flattened by standardized international systems. We argue that the same methodology can also support the digitization of other non-Greco-Roman heritage. FAIR Ontology and EAGLE vocabularies prioritize standardization and interoperability, introducing text mining, GIS mapping, and digital visualization to trace patterns across the vast body of texts from different historical periods. Standardizing valuable elements of cultural categorization and reconstructing and integrating lost or underrepresented cultural narratives will expand the capacity of the above systems and will foster greater inclusivity in Humanities research. Ukrainian epigraphic classification systems offer a unique, granular approach to inscription studies as a worthwhile contribution to the broader cognitive and epistemological horizons of the Humanities. Through a balanced use of specificity and interoperability principles, this study attempts to contribute to epigraphic metalanguage by challenging the monocentric ontologies, questioning cultural biases in digital categorization, and promoting open access to diverse sources of knowledge production. Full article

The evolution of tall buildings has been shaped by distinct architectural styles, beginning around 1875 and progressing through various stylistic architectural movements. These changes were driven by advancements in structural engineering and digital design technologies, leading to greater experimentation with form and function. Energy and resource conservation of the late 20th century instigated a noteworthy focus on sustainability. Beyond that, the early 21st century saw a significant shift toward a new breed of tall buildings, a suitable architectural vocabulary for “high-performance” tall buildings, in which sustainability with a focus on energy efficiency is joined with the performance of other active and passive functional systems. This paper presents an overview of high-performance tall buildings by exploring key technologies, materials, innovations, safety, durability, and indoor environmental quality. Strategies that have emerged to address skyscrapers’ environmental and economic challenges are also crucial in such a building. It highlights the importance of optimizing and integrating building systems, improving energy efficiency, minimizing resource consumption, and ensuring long-term occupant health and productivity. Furthermore, this study identifies five key dimensions—structural materials and systems, energy-efficient design, high-performance façades, performance monitoring, and integrating building services systems—demonstrating how these factors contribute to environment-conscious urban development and resilient architectural and engineering design. It is concluded that these buildings are poised to redefine urban environments by leveraging advanced technologies, AI-driven management, IoT interconnectivity, health-focused elements, and climate resilience. Also, tall, high-performance buildings will be increasingly automated to an unknown limit, and AI will play a prominent role in the future. Full article

With the rapid expansion of the Electric Sport Utility Vehicle (ESUV) market, capturing consumer aesthetic preferences and emotional needs through front-end styling has become a key issue in automotive design. However, traditional Kansei Engineering (KE) approaches suffer from limited timeliness, subjectivity, and low predictive accuracy when extracting affective vocabulary and modeling the nonlinear relationship between product form and Kansei imagery. To address these challenges, this study proposes an improved KE-based ESUV styling framework that integrates data mining, machine learning, and generative AI. First, real consumer reviews and front-end styling samples are collected via Python-based web scraping. Next, the Biterm Topic Model (BTM) and Analytic Hierarchy Process (AHP) are used to extract representative Kansei vocabulary. Subsequently, the Back Propagation Neural Network (BPNN) and Support Vector Regression (SVR) models are constructed and optimized using the Seagull Optimization Algorithm (SOA) and Particle Swarm Optimization (PSO). Experimental results show that SOA-BPNN achieves superior predictive accuracy. Finally, Stable Diffusion is applied to generate ESUV design schemes, and the optimal model is employed to evaluate their Kansei imagery. The proposed framework offers a systematic and data-driven approach for predicting consumer affective responses in the conceptual styling stage, effectively addressing the limitations of conventional experience-based design. Thus, this study offers both methodological innovation and practical guidance for integrating affective modeling into ESUV styling design. Full article

This study explores the effectiveness of Technology-Assisted Vocabulary Learning (TAVL) using student-created video learning materials within a tertiary-level English as a Foreign Language (EFL) flipped classroom. By leveraging the flipped classroom model, which allocates classroom time for interactive activities and shifts instructional content delivery outside of class, the research investigates how student-produced videos can enhance vocabulary acquisition and retention. Conducted with 47 university students from a Translation and Translation Studies course, the study aims to fill a gap in empirical evidence regarding this innovative approach. Quantitative analysis revealed that students who created and utilized videos (Group 1) showed the highest improvement in vocabulary scores, followed by those who only used the videos (Group 2), with the control group relying on traditional teacher-led methods showing the least improvement. Qualitative feedback highlighted that video creators experienced deeper engagement and better vocabulary retention, while users appreciated the videos’ visual and auditory elements but faced challenges with vocabulary overload. The findings suggest that incorporating student-created videos into the curriculum fosters a dynamic and collaborative learning environment, offering practical implications for enhancing vocabulary instruction through technology-enhanced pedagogical practices. Future research should focus on optimizing video production processes and integrating these methods with traditional teaching for comprehensive vocabulary learning. Full article

Background/Objectives: This study examined the development of speech, expressive vocabulary, and receptive vocabulary in boys with Fragile X Syndrome (FXS), with a focus on the contribution of the Fragile X Messenger Ribonucleoprotein (FMRP), while controlling for the effects of nonverbal IQ, maternal education, and Autism status on the development of these skills. Methods: Participants included 45 boys with full mutation FXS, ranging in age from 2.9 to 14.0 years, who were subdivided into those with FXS only (FXS-Only) and those with FXS and Autism (FXS-Autism). Speech, expressive vocabulary, and receptive vocabulary skills were assessed over three years for each participant. Results: There was a significant relationship between each of the outcome measures and the child’s nonverbal mental level, and between for both outcome measures of vocabulary and Autism status, but these relationships were moderated by the level of FMRP. Specifically, higher levels of FMRP seemed to increase the relationship between developmental level of speech, receptive, and expressive vocabulary for boys with FXS with and without Autism; however, at lower levels of FMRP, these relationships seemed to weaken significantly for both groups. Conclusions: These findings implicate increased complexity in the relationship between various contributors to the rates of growth of speech, expressive vocabulary, and receptive vocabulary in boys with FXS, with FMRP being a key variable potentially moderating the relationship between nonverbal abilities, Autism status, and speech and vocabulary development. Full article

Case study to investigate whether creative writing through story-based learning in public and private secondary schools can account for performance in readability, purpose, word/sentence relationships, vocabulary diversity, correct use of punctuation marks and proper use of spelling rules. The exclusion criteria, applied only to public and private secondary school students, first, second and third periods. The sampling is convenient as the participants were selected from accessible educational institutions. This is a cross-sectional study of descriptive qualitative cut in which the coding of linguistic patterns and dominant themes is used. When triangulated with statistical results it was found that despite the variability in the results there was a production of original narratives, which corroborates the theories about the relationship between creativity and divergent thinking. It is confirmed that ABH is an active methodology based on the emotional link with creative writing from which components of the structure and creation of the narrative are derived, and it was found that most of the students are in a zone of proximal development, i.e., they are ready to learn with the help of a tutor or more advanced partner. Full article

Background. Language development in toddlers can be influenced by social interactions in environments and proximal contexts with mothers and fathers. We present the literature on mothers’ and fathers’ education level and socioeconomic status on the child’s language development; further evidence is needed in the Italian-speaking context. Aims. The study aims to confirm the role of mother and father education level on toddlers’ language skills assessed with direct and indirect measures. Methods and Procedures. Participants were 51 Italian-speaking children aged 33 to 41 months. Children were tested with a lexical test (PinG test) for comprehension and production of nouns and predicates and a morpho-syntactic test for grammar comprehension (PCGO). Parents of the children completed a demographic form and the Italian adaptation of the MacArthur-Bates CDI long version. Two series of one-way ANCOVAs were performed to study the role of mothers’ and fathers’ level of education on separate measures of their child’s language. Outcomes and Results. Findings suggest that in most families, mothers’ level of education is higher than fathers’ level of education. There was no significant difference between children of parents with low–middle level of education and children of parents with high level of education for the grammar comprehension tasks (PCGO) and indirect measure of vocabulary production (MacArthur-Bates CDI). However, both mothers’ and fathers’ level of education appears to be significant for the direct measurement of word production. Conclusions and Implications. This study provides new evidence for the role of mothers’ and fathers’ education on the development of word production in children aged 33 to 41 months, contributing to enriching the literature on the Italian context; it lays the groundwork for future research on the social and environmental factors that can affect language development. Full article

The origin of a product, consumer familiarity, and purchasing identity are factors that affect the perception of cheese consumption. The present study aims at identifying consumers’ conceptualizations and attitudes towards local Greek cheeses of the North-Aegean Sea islands, such as Ladotyri, Graviera, Kasseri, Kaskavali, Melichloro, and Kalathaki, some of which have a Protected Designation of Origin (PDO) status, as opposed to cheeses of non-Greek origin, such as Cheddar, Regatto, and Gouda. Sensory and emotional attributes of local, local PDO, and imported cheeses, as well as drivers associated with consumers’ choice and acceptance above and beyond their sensory attributes, were studied using three methods: (a) flash profile to gain insight into the sensory positioning of products and description of samples; (b) qualitative analysis of focus groups to pinpoint consumer knowledge, preference, and consumption criteria; and (c) a new methodology for natural language processing and sentiment analysis of social media posts to determine consumer conceptualizations. Social media posts have proven to be a valuable source of linguistic and cultural data for cheeses. Local cheeses, including PDO products, were found to be linked to village life and family gatherings, home, tradition, and childhood memories, with saltiness and hardness being their main sensory attributes. Imported cheeses were linked to fast food, pizza, and snacking, with elasticity and gumminess as prominent sensory qualities. The main criteria for purchase were intended usage and versatility, taste and texture, price, and familiarity. The findings provide key sensory attributes, information about consumer purchasing criteria, and relevant vocabulary for the promotion of cheeses as agri-food and gastronomic identity key products. Full article

To address current product styling design issues, such as ignoring the joint effects of multiple styling elements when constructing perceptual imagery fitting models and thus failing to effectively identify the relationships between styling elements, a product styling design method based on fuzzy set qualitative comparative analysis (fsQCA) is proposed. This method first uses semantic differential and statistical methods to obtain users’ evaluative vocabulary for the product’s perceptual imagery. Then, morphological analysis and cluster analysis are employed to establish typical product samples and extract styling elements to create a styling feature library. Perceptual imagery ratings of these styling features are obtained through expert evaluation. fsQCA is then used to analyze the different grouping relationships between styling elements and their influence on product styling imagery, aiming to match user intentions through different element combination paths. The results show that this method achieves a consistency value of 0.9 for the most optimal styling configurations, demonstrating that fsQCA can effectively identify the multiple paths of product styling elements that meet users’ needs. The contributions of this study to the related fields are: (1) providing a new perspective on the relationship between user perceptual imagery and predicted product styling elements, and (2) advancing the theoretical basis for studying multiple paths of product styling elements. The research results demonstrate that using the fsQCA-based product styling design method can accurately portray the multiple paths of product styling elements that meet users’ needs, thereby effectively improving design efficiency. Finally, a teapot styling design study is used as an example to further verify the method’s feasibility. Full article

Science education has shifted towards emphasizing science literacy rather than simply memorizing facts. Studies have shown that incorporating writing in science education engages students in higher-order thinking, fosters critical reasoning skills, and deepens subject matter comprehension. However, writing can be particularly challenging for CLD (culturally and linguistically diverse) students due to content-specific vocabulary and distinctive grammatical patterns. This case study explores six CLD students’ experiences with writing in a seventh-grade science classroom in the northeastern United States that used invention-based learning (IBL). By incorporating hands-on invention processes, IBL facilitates problem-solving and student-centered learning. The study shows how a writing-to-learn approach in science education can simultaneously support CLD students in developing a scientific understanding of abstract concepts and address the need for science literacy skills. The implications of this study suggest that teachers should integrate writing-to-learn strategies into their science instruction to promote deeper understanding and improve science literacy. By supporting students through productive struggles with writing and providing opportunities to practice scientific language, teachers can help students develop critical thinking skills and better comprehension of scientific concepts. In addition, by connecting hands-on experiences with writing tasks, educators can make science more accessible and engaging for students, particularly those from diverse linguistic and cultural backgrounds. Full article

A reference material (RM), as defined by the International Vocabulary of Metrology (VIM 2012), must be homogeneous, stable, and suitable for use in measurements. Certified reference materials (CRMs) are RMs with documented property values, uncertainties, and traceability. ISO 17034:2018 outlines the requirements for RM producers, ensuring that CRMs meet standards for stability, uniformity, and reproducibility. In Europe, CE marking, from French “conformité Européenne”, which means European conformity, has been mandatory for thermal insulation products since 2002, ensuring their thermal performance is verified by accredited laboratories using RMs like IRMM440 and ERM FC440. Annually, European manufacturers produce over 200 million cubic meters of thermal insulation, necessitating thousands of thermal conductivity measurements daily to maintain CE marking compliance. Key characteristics of Reference Materials include long-term stability, thermal conductivity within specified ranges, and minimal dependence on density, thickness, and applied load. Sample thickness must conform to apparatus specifications, and homogeneity must be quantified. Reference Materials must also have appropriate dimensions, surface smoothness, and manufacturability. The Joint Research Centre (JRC) Geel has produced two Reference Materials, IRMM 440 and ERM FC 440, with specific characteristics to meet these requirements. Both are glass wool fibers with low thermal conductivity and specific density and thickness. The qualification of RMs involves inter-laboratory comparisons to ensure the accuracy and traceability of thermal conductivity measurements. The European market’s organization, including the use of Reference Materials and CE marking, has significantly improved measurement consistency and product quality. This system has led to lower uncertainties in thermal conductivity measurements compared to North America, highlighting the impact of standardized RMs on industry practices. Future needs include developing RMs with lower conductivity and increased thickness to accommodate market trends towards super insulation materials and bio-based components, enhancing energy performance calculations for buildings. This paper will present the process of defining a reference material and how it affects the uncertainty level of the calculation of building energy performance. This level depends on the characteristics of the materials used, their implementation, and external factors, such as the weather, as well as the reference material used for calibration of all European thermal conductivity measurement devices. Full article