With the prospect that integrating creative AI in the fashion design field will become more visible, this study considered the case of creative fashion design development through Human-AI Co-creation (HAIC). Methodologically, this research encompasses a literature review and empirical investigations. In the literature review, the fashion design and creative HAIC processes, and the possibilities of integrating AI in fashion design were considered. In the empirical study, based on the case analysis of generating fashion design through HAIC, the HAIC type according to the role and interaction method, and characteristics of humans and AI was considered, and the HAIC process for fashion design was derived. The results of this study are summarized as follows. First, HAIC types in fashion design are divided into four types: AI-driven passive HAIC, human-driven passive HAIC, flexible interaction-based HAIC, and integrated interaction-based value creation HAIC. Second, the stages of the HAIC process for creative fashion design can be broadly divided into semantic data integration, visual ideation, design creation and expansion, design presentation, and design/manufacturing solution and UX platform creation. Third, in fashion design, HAIC contributes to human ability, enhancement of creativity, achievement of efficient workflow, and creation of new values. This research suggests that HAIC has the potential to revolutionize the fashion design industry by facilitating collaboration between humans and AI; consequently, enhancing creativity, and improving the efficiency of the design process. It also offers a framework for understanding the different types of HAIC and the stages involved in the creative fashion design process.
The purpose of this paper is to apply the newly developed SICAT teaching and learning model to the actual scene of teaching and learning and draw a point of discussion for utilizing teaching and learning model, by uncovering the satisfaction of students and the inhibiting/facilitating elements when using the model. SICAT(Scientific Inquiry and Creative Activity with Technology; from here on SICAT), a teaching and learning model custom-built for engineering education, was developed, as more and more people paid attention to the demand for creative engineers. It was developed from the basis of PBL(Problem Based Learning), includes three sub-types which can be applied to the actual theory, design, and experimentation fields within engineering education. The three sub-types, which are ARDA(Analysis-Reasoning Activity & Discussion-Argumentation Activity), CoCD (Collaboration Activity & Capstone Design Activity), and ReSh(Reflection Activity & Sharing Activity), respectively support deductive and argumentation activities, creative design and collaboration activities, and retrospection and sharing activities. However, no research has been conducted to investigate whether or not there are inhibiting or facilitating elements in the application procedure, or what the rate of satisfaction for students is, when applying the SICAT model, which was newly developed to innovate existing engineering education, to the actual site of teaching and learning. Therefore, this research applied three types of SICAT teaching and learning models to the theory, design, and experimentation classes at the department of materials science and engineering at Hanyang University for eight weeks. After application, the students, teachers and tutors were surveyed and interviewed, and then the results analyzed in order to uncover inhibiting/facilitating elements and the rate of satisfaction. The satisfaction rate of students from the SICAT teaching and learning model was 3.78(in a perfect score of 5: The A type-3.65, The C type-3.80, The R type-3.90), and inhibiting/facilitating elements were drawn from the aspects of learning activities, support system. In conclusion, they can be contributed for implications of SICAT teaching and learning model universal use at engineering education in University.
International conference on construction engineering and project management
/
2009.05a
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pp.230-236
/
2009
Double-front construction machinery, which was designed for complicated tasks, requires intelligent systems that can provide the quantitative work analysis needed to determine effective work procedures and that can provide operational and cognitive support for operators. Construction work environments are extremely complicated, however, and this makes state identification difficult. We therefore defined primitive static states (PSS) that are determined using on-off data for the lever inputs and manipulator loads for each part of the grapple and front and that are completely independent of the various environmental conditions and operator skill levels. To confirm the usefulness of PSS, we performed experiments with a demolition task by using our virtual reality simulator. We confirmed that PSS could robustly and accurately identify the work states and that untrained skills could be easily inferred from the PSS-based work analysis. We also confirmed in skill-training experiments that advice information using PSS-based skill analysis greatly improved work performance. We thus confirmed that PSS can adequately identify work states and are useful for work analysis and skill improvement.
This study is a qualitative study conducted to identify environmental factors that impede emerging artists' ongoing creative activities, focusing on the local cultural ecosystem that they are part of. By doing so, we tried to understand the dynamics between key stake holders in the ecosystem that these young artists interact with and how they build and perceive their own, local cultural environment. The central research question of this study is: what factors impede the continuous creative activities of young artists and what causes them to leave local art scenes? The research was conducted thoroughly on the basis of emerging artists' experience and perspectives and applied to Creative Sector Holistic Model for analysis. The data of this research were collected based on two national-funding projects to support young artists from 2016 to 2018. The main research method of this study was interviews: official and casual interviews were executed with 29 young artists aged 20-34 who work in the fields of painting, literature, sculpture, video, korean traditional music, visual design and crafts. For the analysis of the data, the Creative Sector Holistic Model(Wyszomirski, 2008), which had applied the ecological logic to the creative industries, was applied. The result of this study shows that economic difficulties were not the only hindering factor in their sustainable art-making process. Various impeding factors derived from the local cultural ecosystem have been identified within the Holistic Model, demonstrating that these factors are all intertwined and connected. Thus, analyzing and understanding one's local cultural ecosystem can provide keys to long-term and lasting impacts when a local authorities wish to support young artists for the future of local cultural environment.
The purpose of this study was to investigate the effects of engineering design-based ocean cleanup classes on STEAM attitudes and creative engineering problem-solving dispositions. Furthermore, during this process, we tried to determine interesting points that students encountered in engineering design-based classes. For this study, a science class with six lessons based on engineering design was developed and reviewed by a professor who majored in engineering design, along with five engineering design experts with a master's degree or higher. The subject of the class was selected as the design and implementation of scientific and engineering measures to reduce marine pollution based on the method implemented in an actual Ocean Clean-up Project. The engineering design process utilized the engineering design model presented by NGSS (2013), and was configured to experience redesign through the optimization process. To verify effectiveness, the STEAM attitude questionnaire developed by Park et al. (2019) and the creative engineering problemsolving propensity test tool developed by Kang and Nam (2016) were used. A pre and post t-test was used for statistical analysis for the effectiveness test. In addition, the contents of interesting points experienced by the learners were transcribed after receiving descriptive responses, and were analyzed and visualized through degree centrality analysis. Results confirmed that engineering design in science classes had a positive effect on both STEAM attitude and creative engineering problem-solving disposition (p< .05). In addition, as a result of unstructured data analysis, science and engineering knowledge, engineering experience, and cooperation and collaboration appeared as factors in which learners were interested in learning, confirming that engineering experience was the main factor.
This study made an attempt to apply and meaningful research of the analysis of the scene with the actual creative work about the contradictory structure and the love of duality appeared in the Shakespeare's "Romeo and Juliet". The researcher set up the meaning of versus (對) between the contradictory structure and the duality of love. So I analyzed the duality of love appeared on the creative performance named "Romiet & Julio zwei Versus". With the Laban's behavior analysis, the analyzing instruments were separated into four parts as the body, the effort, the space and the shape. As a result of the analyzing, the duality of love in the original work was the expression of the artist's pluralistic vision, and dramatic structure of homogeneity rather than the paradoxical contrast. After analyzing a creative work, the duality of love has been proven as an important factor with ultimately a new dimension of absolute balance.
The purpose of this study was to develop the analytic framework of Creative Problem Solving(CPS) for elementary school science textbook. For this purpose, we developed the framework based on the theories of problem, definition of problem solving and various kinds of CPS model. The six elements of the framework for content analysis were extracted through theoretical examination: problem introduction, problem statement, solution thinking, formulating hypothesis, testing hypothesis, and assessment. The developed framework was applied to the extbooks for the 5th and the 6th grades 1st semester in elementary science textbook of the 7th national curriculum. The results of this study were as follows: 1. The scores of the framework for content analysis in the 5th grade were slightly higher than those of the 6th grade, but there were no significant difference. 2. The comparison of the scores between the elements of the framework was found that the scores on the elements of testing hypothesis and formulating hypothesis were higher than those of the other elements. 3. The comparison of the scores between the units was found that the scores of the framework for the 9th unit (“trip of water”) of the 5th grade were higher than those of the other units, which were presented lower level than 1.0 (50.0%) score of the framework. 4. The comparison of the scores between the intensive course and the regular coures in the 6th grade textbook was showed that the scores on the intensive course were higher than the basic course. In conclusions, it was found that the problem introduction and problem statement in the textbook should be amended, and that various information and activities should be presented in the textbook.
Purpose: It is aimed to empirically apply and examine the effects of Creative Training Techniques (CTT) that focus on student-centered educational environment to an anatomy subject for biological nursing science education. Methods: A triangulation that combines cross-sectional survey and content analysis was used and the data were collected in 2008. Participants were 301 freshmen students attending one junior nursing college in Seoul, Korea. A questionnaire was distributed to 301 students, 289 of whom responded (response rate 96.0%), and used for data analysis. Factor analysis, reliability analysis, and descriptive statistics were conducted by using data analysis SPSS 14.0 KO for Windows programs. In addition contents analysis was conducted. Results: 1) CTT Increased the relationship between professor and students ($3.12{\pm}0.92$), 2) Students preferred the various team leader choosing method ($3.25{\pm}0.93$), 3) Model and image materials helped the learning ($3.71{\pm}0.89$). Conclusion: CTT can be used to enhance students' learning effectiveness. Intervention programs intensified by CTT may be useful to improve students' learning abilities in nursing science education.
Purpose The purpose of this study is to demonstrate the relationship between ICT(Information & communication technology) infrastructure, investment environment, and innovation performance from a national perspective. Design/methodology/approach We derived 5 hypotheses based on the literature review. To measure each concept, We converted the scores of each country provided by the Global Innovation Index into a 7 Likert scale and performed a regression analysis. Findings According to the empirical analysis result, this study confirmed that knowledge and technology output mediated the relationship between ICT infrastructure and creative goods and services. In addition, this study confirmed that the investment environment has a moderating effect between ICT infrastructure and knowledge and technology output.
The concept of the design thinking can be effective in engineering design process especially in developing the appropriate technology product. In this paper we analyze the student's design activities during the 'Creative and Integrated Design Academy for the other 90%' to solve the problems in the developing countries from the perspective of the design thinking. Based on this analysis we propose the direction of the creative and integrated design activities to solve the appropriate technology products and also the direction of the future engineering design process.
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