Creation Phase Research Articles

The objectivity of mathematics in Cassirer’s symbol-theoretical approach

AbstractCassirer’s concept of symbolic forms represents a cultural-philosophical approach in which specific modes of objectification, the symbolic forms themselves, establish an independent truth. This truth does not consist in a purely analytical truth, but in the fact that we live along these symbolic forms in a specific stubbornness. When we use language, we live and experience language in its specific autonomy. The same applies to the other symbolic forms developed by Cassirer. Both before the cultural-philosophical phase of creation and within the philosophy of symbolic forms, Cassirer refers to mathematics several times. An interesting tension arises as to whether Cassirer could have understood mathematics as a symbolic form in its own right. On the one hand, cultural-historical considerations in Cassirer’s work speak in favour of this; on the other hand, Cassirer embeds mathematics as a mere formal science in physics and thus in the philosophical form of science as a whole. The article explores this tension—mathematics as a symbolic form—and shows that only indications within the framework of the historical-hermeneutical treatment would speak in favour of such an interpretation. Furthermore, the article argues that a specific, cultural-historical semiotics can be considered for mathematics in Cassirer’s work.

Development of Animated Video of Graha Maria Annai Velangkanni Spiritual Tourism Object in Medan

The purpose of this study was to make an animated video about Graha Maria Annai Velangkanni in Medan using Sparkol-Videoscribe by applying a 4-D creation model from Thiagarajan. The steps of this model are: (i) definition phase, (ii) planning phase, (iii) creation phase and (iv) deployment phase. Brochures, the official website of Graha Maria Annai Velangkanni Medan and interviews with Sr Angelina are used as data sources. This research was conducted at the Language Laboratory, Faculty of Languages and Arts, State University of Medan. The result of this production is an animated video made with Sparkol-Videoscribe. This video is 09:43 minutes long and is 388 megabytes long. This video is published on YouTube with https://youtu.be/AZ4Mw96mfrQ?feature=shared link and validated by material experts and media experts. The validator gave a score of 87.5 (good) to the material. Overall, the video received a score of 85.71 which was categorized as good by media experts. Therefore, it can be concluded that the animated video about Graha Maria Annai Velangkanni in Medan is valid and valid.

Mobilizing Global Change Science for Effective Multi-Actor Governance in the Laguna San Rafael and Guayaneco Biosphere Reserve

The 1950s initiated transformative shifts in human interactions and societal behaviors, exacerbating global environmental challenges—notably, biodiversity loss. The post-2020 Kunming–Montreal Global Biodiversity Framework (GBF) addressed these challenges with ambitious plans to halt and reverse biodiversity losses. Supported by initiatives like UNESCO’s Man and the Biosphere program, the GBF seeks to enhance sustainability through country-level strategies that will mainstream nature-positive policies and expand multi-actor conservation governance. This study supports the local-level implementation of the GBF through a roadmap for the initial phase of the knowledge-action network creation. Through a case study of the Laguna San Rafael and Guayaneco Biosphere Reserve (LSRGBR) in Chilean Patagonia, this research explores the potential for inexpensive, readily available methods to support local decision makers by increasing access to and the visibility of relevant sustainability research. The study analyzes two decades of global change (GC) research within LSRGBR zones to understand spatial trends and identify applied insights with the potential to inform governance and management strategies. Findings highlight where GC research has occurred, areas of GC research interest, how applied content has manifested, and how existing research can inform and support governance action plans. Ultimately, this research proposes an adaptable knowledge mobilization framework for the LSRGBR that can be applied to a variety of place-based needs and contexts to mobilize science for broader sustainability objectives and enhance the potential for multi-actor collaboration and governance.

Optimization of Data Management through a Web System based on Business Intelligence and Agile Kanban Methodology

The collection of information through a questionnaire for planning purposes played an important role in defining the requirements of the web system, functioning as a fundamental basis for the next step in the software development phase. The application of the Kanban way of thinking has proven to be effective in managing work, supported by greater openness during the system creation phase. The surveys and interviews carried out show that the initiative is important and necessary to improve decision-making and processes. The incorporation of Kanban principles is based on an exhaustive analysis using tools such as PHP, Bootstrap and MySQL to facilitate the process and achieve maximum efficiency. Through the web-based system, it is possible to centralize information, allowing its access and management in real time. Business intelligence is also used to perform in-depth analysis, helping to identify patterns and potential opportunities for improvement. It was considered appropriate to choose the Kanban methodology due to its collaborative and incremental approach, ideal for adapting to change and providing constant value. The results confirm the solidity of our methodology and the relevance of the choices made in the development of this web application based on Business Intelligence and Agile Kanban Methodology.

When faces don’t lie

Abstract In the last decades, Cognitive Translation Studies (CTIS) have witnessed a growing expansion of Audio Description (AD), with emphasis on experimental studies examining the psychological factors that influence the creation and reception of AD. While most studies have focused on the creation phase of AD, recent reception research has explored emotions, immersion, and presence in the context of AD. A study by Rojo et al. (2021) investigated the impact of AD on the reception of porn, comparing the psychophysiological response of sighted participants watching audiovisual content with blind and sighted participants listening to AD without images. The results indicated no significant differences in physiological and subjective responses. The present study aims at providing further evidence on the participants’ emotional response by analyzing their facial expressions using the FaceReader software (Noldus Information Technology). Unlike cardiac and cortisol responses, the analysis of the participants’ facial expressions reveals some intriguing differences between the groups that point to some emotional differences in the reception of porn.

Location patterns and factors of Polish makerspaces

Makerspaces (MS) represent a type of new working space (NWS), a subject addressed by numerous researchers. Nevertheless, among the abundance of publications on NWS, only a limited number discuss the detailed distribution of MS and address the significant issue of their location factors. This article aims to supplement these research gaps based on the example of Polish makerspaces, through a comprehensive database of Polish NWS and spatial analysis conducted through GIS systems. According to the results, there is a predominance of MS in the main metropolitan centers, alongside a rising significance in peripheral areas while a co‑occurrence of MS with other institutions focusing on innovation, creativity and education is recorded. It is also pointed out that location factors related to transportation are mainly found in large urban centers, but not noticeable elsewhere. Through the use of in‑depth interviews, the author points to the significant relevance of social factors in the MS creation phase, together with accessibility and infrastructure‑related factors. In addition, crucial components impacting on MS establishment include the engagement of MS members, municipal support, location and the characteristics of the MS environment. Lastly, the validity of the rules and regulations of organizations supporting the creation of MS are outlined.

Digital Gamification Tool (Let's Control Flu) to Increase Vaccination Coverage Rates: Proposal for Algorithm Development.

Influenza represents a critical public health challenge, disproportionately affecting at-risk populations, including older adults and those with chronic conditions, often compounded by socioeconomic factors. Innovative strategies, such as gamification, are essential for augmenting risk communication and community engagement efforts to address this threat. This study aims to introduce the "Let's Control Flu" (LCF) tool, a gamified, interactive platform aimed at simulating the impact of various public health policies (PHPs) on influenza vaccination coverage rates and health outcomes. The tool aligns with the World Health Organization's goal of achieving a 75% influenza vaccination rate by 2030, facilitating strategic decision-making to enhance vaccination uptake. The LCF tool integrates a selection of 13 PHPs from an initial set proposed in another study, targeting specific population groups to evaluate 7 key health outcomes. A prioritization mechanism accounts for societal resistance and the synergistic effects of PHPs, projecting the potential policy impacts from 2022 to 2031. This methodology enables users to assess how PHPs could influence public health strategies within distinct target groups. The LCF project began in February 2021 and is scheduled to end in December 2024. The model creation phase and its application to the pilot country, Sweden, took place between May 2021 and May 2023, with subsequent application to other European countries. The pilot phase demonstrated the tool's potential, indicating a promising increase in the national influenza vaccination coverage rate, with uniform improvements across all targeted demographic groups. These initial findings highlight the tool's capacity to model the effects of PHPs on improving vaccination rates and mitigating the health impact of influenza. By incorporating gamification into the analysis of PHPs, the LCF tool offers an innovative and accessible approach to supporting health decision makers and patient advocacy groups. It enhances the comprehension of policy impacts, promoting more effective influenza prevention and control strategies. This paper underscores the critical need for adaptable and engaging tools in PHP planning and implementation. RR1-10.2196/55613.

AR/VR assisted integrated framework of autonomous disassembly system for industrial products

An immersive Augmented Reality (AR) technology enhances productivity and flexibility in manufacturing by providing real-time instructions within workers’ field of view, aiding in complex tasks. According to cognitive load and attention-based theories, AR guidance can reduce cognitive strain, enhancing task performance. The affordance of AR in industrial processes like assembly or disassembly for repair/maintenance has been exploited broadly. However, the prevailing studies on automated user interfaces for AR instruction development, specifically virtual scene creation and target generation for object mapping rendering, still need to be explored. Notably, production industries currently rely on outsourcing skilled professionals to create AR overlaying instructions using manufacturer input. However, the exactness of the disassembly repository is substantial to avoid defects in AR guidance particulars. This underscores the significance of generalized automated AR instruction development and emphasizes the demands for further research. In this work, the autonomous AR-integrated framework is developed for the disassembly context, empowering manufacturers to acquire desired outcomes across various modules. These modules include the validation of the manual user disassembly sequence repository during the prefatory phase of AR instruction creation and the provision of Disassembly Sequence Planning (DSP) input. Additionally, the framework supports the simulation/rendering of disassembly efforts in a virtual platform and the generation of rendering virtual display scenes for appropriate AR-guided object mapping. Furthermore, it enables the generation of essential model targets for registering the AR scenes. Subsequently, the extracted repositories (virtual scenes and model targets) are input into the Unity AR tool to create AR mapping guidance for disassembly operations. The performance of the autonomous disassembly module is evaluated through three case studies with different AR visualizations. Furthermore, the potential of the proposed framework is exploited by extracting feedback from experts regarding flexibility, compatibility, completion time, and cognitive level.

Human Capital: Economic Nature and Influence of Artificial Intelligence in the Context of Sustainability during the Period of Civilization Transformation

Human capital management mechanisms are rapidly developing due to the dynamic nature of socio-economic changes and the emergence of innovative technological solutions. The transition to a new stage in the development of civilization means a change in people’s attitude to creating a material basis and ensuring existence. Most of the functions of people will eventually move into the phase of creative creation and management of these relationships, rather than direct participation in them. These trends are intensifying with the development and widespread dissemination of artificial intelligence, to which people begin to transfer an increasing number of functions to ensure the material basis for their own existence and development. The nature of labor is changing, and, consequently, the requirements for human capital are changing. Studying the nature of human capital as a self-increasing value and identifying the internal laws of innovative development make it possible to build a human resource management system in the context of sustainability by identifying the core of this system, the internal impulse and the mechanism of its dynamic development. Which is of particular importance for leveling risks and preventing the negative consequences of new challenges of our time. The transformation of modern society can be considered from this point of view as a transition period to a new view at human and his/her relationship with the environment, including human’s attitude to himself and his/her own environment (both personal and business), to nature, to the state and the world order.

Observational study examining the feasibility of generating real-world evidence (RWE) for new drug applications from the clinical trials database (DB; RELIASE study).

TPS100 Background: The extraction of the data that contributes to regulatory approval from real-world data (RWD) are difficult due to the lack of standardized data format as well as the extraction methodology. In addition, when RWE is used as an external control group, the similarity between internal and external control data has not been evaluated. Methods: In our ‘REALISE’ study, we will investigate the data extraction methodology as external control data of rare molecular subtype. We also elucidate the 'quality' and 'reliability' of RWD/RWE necessary for regulatory submissions. In addition, as most databases are not designed for regulatory use in the creation phase, we will investigate the retrospective methodologies to ensure reliability of RWD/RWE. We compare ‘data quality’ and ‘data reliability’ of ARCAD global DB (N=45,224), SCRUM-Japan registry (N=546), SCRUM-Japan observational study (N=14,325), and the Flatiron health RWD in Japan (N=650) and statistically analyze the differences and similarities among 4 databases. All analyses will be summarized descriptively. Similarity of patient characteristics and efficacy endpoints such as response rate, progression-free survival, overall survival, and all available endpoints will be evaluated by cancer type, treatment line, and standard treatment. For colorectal cancer, data extracted from the SCRUM-Japan registry, SCRUM-Japan observational study, and the Flatiron health RWD will be compared with data extracted from randomized controlled trials in the ARCAD global DB to examine the availability as an external control of RWD. The Kaplan-Meier method will be applied to estimate the survival distribution of time-to-event data. No imputation method for missing data will be used, and the frequency of missing data will also be summarized. We will also examine the methodology for extracting data with sufficient quality from the SCRUM-Japan observational study. In addition, if the reliability of RWD/RWE does not reach the required level, we will also examine the methodologies to retrospectively assure the reliability of the SCRUM-Japan observational study for regulatory submissions. [Table: see text]

A Visual Environment for Data Driven Protein Modeling and Validation.

In structural biology, validation and verification of new atomic models are crucial and necessary steps which limit the production of reliable molecular models for publications and databases. An atomic model is the result of meticulous modeling and matching and is evaluated using a variety of metrics that provide clues to improve and refine the model so it fits our understanding of molecules and physical constraints. In cryo electron microscopy (cryo-EM) the validation is also part of an iterative modeling process in which there is a need to judge the quality of the model during the creation phase. A shortcoming is that the process and results of the validation are rarely communicated using visual metaphors. This work presents a visual framework for molecular validation. The framework was developed in close collaboration with domain experts in a participatory design process. Its core is a novel visual representation based on 2D heatmaps that shows all available validation metrics in a linear fashion, presenting a global overview of the atomic model and provide domain experts with interactive analysis tools. Additional information stemming from the underlying data, such as a variety of local quality measures, is used to guide the user's attention toward regions of higher relevance. Linked with the heatmap is a three-dimensional molecular visualization providing the spatial context of the structures and chosen metrics. Additional views of statistical properties of the structure are included in the visual framework. We demonstrate the utility of the framework and its visual guidance with examples from cryo-EM.

Navigating the Startup Innovation Ecosystem: Strategies for Effective External Resource Management

This research examines how innovation ecosystems facilitate startup innovation across the creation, development, and market phases. We analyze the roles of diverse ecosystem actors, emphasizing their contributions to resource dynamics using the case method approach. Semi-structured interview-based data was analyzed using content analysis. The study revealed the significance of the strategy of using external resources for the success of startups. During the creation phase, non-market-oriented entities like universities and incubators support startups with crucial early-stage R&D funding and business model formulation. In the development phase, startups refine their products with backing from accelerators, investors, and customers, utilizing innovation resources for prototyping and validation, and transitioning into the market phase, startups scale operations with market-oriented actors, focusing on organizational readiness and leveraging established business models for growth. Throughout these phases, startups balance exploration and exploitation strategies, enabling innovation ambidexterity. Our findings highlight how innovation ecosystem actors provide essential resources—physical, social, financial, and human—that foster startup resilience and maturity. Grounded in the Resource-Based View framework, this study offers empirical insights into strategic adaptations within innovation ecosystems, illustrating their transformative impact on startup success.<

Re-Engineering Nubi: A Design-Driven Approach to Cultural Sustainability in Korean Fashion/Textile Practice

This study delves into the realm of traditional Korean fashion/textile practice, known as traditional nubi and Tongyeong nubi (t/T nubi), and re-engineers it from a contemporary fashion perspective within the framework of cultural sustainability. Drawing upon the systemic design approach, the project employed specific activities to trace, decode, and reconfigure t/T nubi following the phases of exploration, reframing, creation, and catalyzation, aiming for innovative design in the contemporary fashion space. The paper emphasizes a holistic and iterative process, based on learning the practice of t/T nubi from artisans, understanding and recontextualizing the future envisaged for t/T nubi, and delivering creative outcomes. Utilizing the interpretative model of cultural sustainability through craft, the study also analyzed the outcomes, identifying impacts such as rethinking craft culture, decoding craft roots, and influencing craft culture. Striking a balance between safeguarding the practice and fostering creativity was challenging; however, the approach serves as a valuable reference for designers and/or artisans of traditional craft practice, bridging their knowledge and design thinking process with the enduring sustainability of this heritage craft. It also demonstrates the potential for designers to leverage traditional craft practices to drive innovation in design, production, and business.

ABDALAMEER. DEVELOPMENT OF AUTONOMOUS MOBILE ROBOTS CONTROL SYSTEMS

The development of an efficient control system for mobile autonomous robots is explored. It delineates key stages in this process, starting with the necessity of precise trajectory planning followed by the creation of a mathematical model for controlling the robotic device. Subsequently, the implementation of navigation algorithms in the management system is emphasized. The importance of conducting comprehensive error analysis to address discrepancies during robot movement is underscored. Post the primary phase of control system creation, evaluating the cost-effectiveness and ensuring workplace safety are deemed crucial management steps. Localization emerges as a pivotal factor enabling the robot's effective autonomous movement relative to its target position. This, in turn, aids in orienting the robot within its external environment. Spatial information acquisition is underscored through the significance of traffic planning, cartography and specialized robotics sensors. Furthermore, the article delves into proprioceptive sensors, detailing their components, such as optical and electrical conductor sensors operating via the Hall effect discovered in 1879. It provides a formula to accurately ascertain conductivity state, involving parameters like hole and electron concentration, electron and hole mobility and elementary charge. In essence, the control system parallels the human brain, requiring a recognition system, action planning and execution functions. Navigation is identified as a critical element facilitating the robot's movement in three-dimensional space. The article integrates technical intricacies about proprioceptive sensors, highlighting their pivotal role within robot control systems.

Internationalisation of science and technology parks and the stage of their life: The Central European perspective

Research background: A science and technology park (STP) is an important tool of innovation policy. In order to carry out new tasks in the field of internationalisation of innovative processes, parks have to incorporate completely new ones into their classic roles and activities. There is still a low level of knowledge about the factors that limit this process. The identified research gap provided the rationale for addressing the issue of the internationalisation of parks in Poland, which is an original treatment of the issue and probably one of the first such studies in Central Europe. Purpose of the article: The purpose of the article is to diagnose the stages through which the internationalisation of science and technology parks takes place in the context of the phases of the life cycle of these organisations, as well as to identify and assess the importance of obstacles limiting the internationalisation process. Methods: A critical analysis of the literature and direct research was carried out using the survey method, according to the author's questionnaire. The research was carried out in 2022 among 18 STPs in Poland (55% of all Polish parks). The diagnosis of internationalisation was made on an institutional level. Three phases of the park life cycle were defined and operationalised based on the criteria identified by J. Allen (2007): creation, consolidation and maturity phase. Ward’s agglomeration method (Ward, 1963) was utilised to group the parks based on the level of actions realised in their life cycle and their degree of internationalisation. In the identification of the number of groups, the Duda-Hart (Duda et al., 2000) Je(2)/Je(1) index-stopping rule was used. Thirteen of the most important obstacles to the internationalisation process were identified. In order to examine the internal consistency of variables describing the internationalisation of parks, Cronbach’s Alpha reliability index was calculated. In order to find out the strength and direction of the existing relationship between obstacles and the internationalisation index of the studied parks, Kendall’s τ test was used. Findings & value added: The sequential development of parks at the national level is in line with the assumptions indicated in the literature. The problem, however, is the internationalisation of parks. Not only is it characterised by a low level, but its course also does not indicate that it is the result of the successive implementation of previously assumed activities. The processes of development and internationalisation are interrelated, but this is not a significant interdependence. The problem is also indicated by the results of studies relating to obstacles to the internationalisation process. This is because the most significant ones are diagnosed only at an advanced level of internationalisation. Such an important activity of parks is undertaken without a prior in-depth diagnosis of the international situation. This can result in limited effectiveness of the activities undertaken in the direction of internationalisation and generate related problems. The results of the study provide a basis for indicating the type of activities aimed at activating parks in the international arena. Such activities should be undertaken at a higher level than the parks themselves since they do not have sufficient procedures and resources to guarantee increased internationalisation. One desirable course of action could also be the creation of cooperation networks at different territorial and entity levels.

Automated Early Detection of Plant Diseases a Machine Learning Approach

This study introduces an innovative strategy for the early detection of plant diseases leveraging machine learning algorithms, a crucial step towards bolstering global food security. Despite the importance of early disease detection for mitigating crop losses, inadequate infrastructure often hinders swift and accurate identification. This paper addresses these challenges by utilizing the Random Forest algorithm to distinguish between healthy and diseased plant leaves using a specially curated dataset. Our proposed method involves comprehensive phases of dataset creation, feature extraction, classifier training, and subsequent classification. For the extraction of image features, the Histogram of Oriented Gradient (HOG) technique is utilized, offering a robust method for image analysis. Embracing the capabilities of publicly accessible, large-scale datasets, our method provides a scalable solution to plant disease detection. The empirical results demonstrate promising levels of accuracy in disease monitoring, presenting transformative potential for disease management practices in agriculture. Particularly in resourceconstrained settings, our machine learning approach paves the way for efficient and effective plant disease detection, carrying significant implications for future crop protection strategies.

Text-to-3D Non-Deformable Animation: A Proof-of-Concept System using Natural Language Descriptions

The ability to generate 3D animations from natural language descriptions has significant potential in various fields, including entertainment, education, and computer-aided design. This research paper presents a novel proof-of-concept system that transforms text prompts into complete and simple 3D animations. The system architecture comprises two main components: extraction and scene creation. In the extraction phase, a transformer model identifies the necessary objects from the text prompt, generates their geometric representations as vertices and edges, and creates a script describing the animations. The scene creation phase involves constructing the 3D objects, adding them to the scene, and rendering the animation based on the generated script. The implementation details, including the technologies and tools used, code snippets, and challenges faced, are thoroughly discussed. Qualitative and quantitative evaluations are conducted to assess the system's performance, highlighting its strengths and limitations compared to existing text-to-animation approaches. Potential applications of the proposed system are explored, ranging from rapid prototyping of 3D animations to interactive storytelling and educational tools. Furthermore, future research directions, such as improving scalability, generalization, and real-world deployment, are outlined. The research presented in this paper contributes to the emerging field of text-to-animation generation and paves the way for further advancements in transforming natural language descriptions into engaging and immersive 3D experiences.

Weighted Similarity-Confidence Laplacian Synthesis for High-Resolution Art Painting Completion

Artistic image completion assumes a significant role in the preservation and restoration of invaluable art paintings, marking notable advancements through the adoption of deep learning methodologies. Despite progress, challenges persist, particularly in achieving optimal results for high-resolution paintings. The intricacies of complex structures and textures in art paintings pose difficulties for sophisticated approaches like Generative Adversarial Networks (GANs), leading to issues such as small-scale texture synthesis and the inference of missing information, resulting in distortions in lines and unnatural colors. Simultaneously, patch-based image synthesis, augmented with global optimization on the image pyramid, has evolved to enhance structural coherence and details. However, gradient-based synthesis methods face obstacles related to directionality, inconsistency, and the computational burdens associated with solving the Poisson equation in non-integrable gradient fields. This paper introduces a pioneering approach, integrating Weighted Similarity-Confidence Laplacian Synthesis to comprehensively address these challenges and advance the field of artistic image completion. Experimental results affirm the effectiveness of our approach, offering promising outcomes for the preservation and restoration of art paintings with intricate details and irregular missing regions. The integration of weighted Laplacian synthesis and patch-based completion across multi-regions ensures precise and targeted completion, outperforming existing methods. A comparative analysis underscores our method’s superiority in artifact reduction and minimizing blurriness, particularly addressing challenges related to color discrepancies in texture areas. Additionally, the incorporation of pyramid blending proves advantageous, ensuring smoother transitions and preventing noticeable seams or artifacts in blended results. Based on empirical results, our method consistently outperforms previous methods across both high and low resolutions. Responding to these insights, our approach emerges as an invaluable guide for both curators and artists. The algorithm’s performance yields insights that underscore the central role of thoughtful decision making in the creation of art paintings. This guidance extends to informing choices related to color selection, brushstrokes, and various other elements integral to the artistic process. During the creation phase, employing these insights enables artists and curators to optimize not only the digitization but also the subsequent restoration process. This proves especially vital when dealing with the intricacies involved in physically restoring damaged original art paintings. Importantly, our approach not only streamlines the restoration process but also contributes significantly to the preservation and enhancement of the digital representations of these distinctive and often intricate works of art.

Illuminating the trans-mediation process: an eye-tracking study of sketching to light painting in design education

PurposeThis study is an “Action-Research-based” bridge that connects sketching and photographic processes. The article’s objective encompasses designing, assessing and validating a perceived difference between sketching and photography through a structured task by ensuring the systematic creation and implementation of the assignments. This study is part of a larger research project exploring the differences between thinking about sketching and final photographic outcomes.Design/methodology/approachThis experimental mixed-method methodology was collected in three phases: the creation phase, where participants were asked to sketch and photograph a balanced composition; the evaluation phase, where the sketches and photographs were evaluated by “Self, Peer, and Independent” reviewers for their perceived differences. An analysis of variance (ANOVA) was implemented to test the result. In the validation phase, eye-tracking technology is applied to understand the subconscious eye movements of individuals.FindingsThis study of 37 samples has helped develop a self-study model in photography, as students have learnt to evaluate themselves critically. This experience will help students be active and reflective learners, thus increasing attention and retention in their course, specifically “Photography Design Education”. A pedagogical approach by design instructors for practical, student-friendly, process-oriented assignments for their photography courses in higher education.Originality/valueThe trans-mediation process requires cognition amongst different mediums, such as pencil and paper for sketching and light for light painting. Photography courses in design education need knowledge of the photo/light medium, contrasting with the understanding of sketching/drawing. Exploring and addressing research gaps for transforming and designing assignments based on adaptive understanding presents an exciting opportunity.

Integration of Concepts for the Learning Process of Textile Weaving at Lan Khoi Village, Phatthalung Province, Thailand

This research seeks to study (i) the local wisdom about the textile weaving production at Lan Khoi village and (ii) the pattern of integrating learning concepts and transferring knowledge in weaving at Lan Khoi village. Data from documents and fieldwork were analyzed and presented through descriptive analysis. The results indicated that the local knowledge about textile weaving at Lan Khoi village reveals that it encompasses a body of knowledge, capabilities, experiences, and traditions. The textiles and patterns found are predominantly hand-woven cotton with distinct patterns. Notably, there exists a design pattern rooted in tradition that has been handed down through generations. As the research revolved around teaching and learning, twenty participants were engaged in the weaving process to acquire weaving skills. The results also showed that the model for learning concepts to transfer knowledge about textile weaving in Lan Khoi village employs three key concepts: (1) crafting and utilizing a diverse range of products that cater to consumers’ needs and preferences, ensuring suitability for use, (2) enhancing value through product development by drawing on ideas and local knowledge to assist in weaving and pattern design during the product creation phase, and (3) facilitating product entry into the commercial market by establishing business networks, including collaboration with fellow entrepreneurs and leveraging online media for advertising. In summary, knowledge transfer serves as a means of preserving cultural wisdom, while learning the creative economy concept entails designing products that fulfill consumer needs, thereby adding value to the products and generating increased income for the community.