Belief in Mazu has a crucial cultural status in Taiwan and the coastal area of Fujian, China. The design and manufacture of apparel and accessories to be placed on statues…
Belief in Mazu has a crucial cultural status in Taiwan and the coastal area of Fujian, China. The design and manufacture of apparel and accessories to be placed on statues of the deity are also considered a sacred and critical part of the religion’s cultural and artistic inheritance. The crown hat of Mazu is one of the most essential elements of the deity’s apparel. The paper aims to discuss these issues.
This study explored the styles of Mazu crown hats using Kansei engineering (KE). People generally use adjectives words to provide aesthetic evaluations. Fuzzy theory is suitable for processing linguistic problems that include vagueness, thereby providing a reasonable method of quantifying such aesthetic evaluations. Therefore, this study first established a fuzzy positioning model (FPM) of word evaluations for analysis. Factor analysis was used to obtain representative image adjectives that represented Mazu’s image. Fuzzy analysis methods were then employed to rank the various image adjectives through evaluation words and to determine the differences between adjectives. Finally, on the basis of image analysis results and expert suggestions, the crown hat was redesigned and its suitability verified.
Four results were obtained. First, four image adjectives appropriate for representing Mazu’s image were identified, of which “noble and kind” is the most suitable. Second, fuzzy analysis was found to successfully rank style images. Third, the crown hat style and design characteristics suitable for Mazu were acquired. Fourth, the verification demonstrated that the redesign effectively enhanced the perceived image of the crown hat design.
This study employed KE to improve the design of a Mazu crown hat. The proposed FPM can aid the development of cultural and creative design.
This paper aims to illustrate how mobile devices could be applied to substantiate cognitive apprenticeship model to optimize nursing students’ learning experiences in…
This paper aims to illustrate how mobile devices could be applied to substantiate cognitive apprenticeship model to optimize nursing students’ learning experiences in clinical settings.
Eight female students from a nursing college in Taiwan were recruited in this study. They enrolled in a three-week nursing clinical practicum session in the area of psychiatric nursing.
Analysis of interview data from students and instructor showed that use of the mobile technology could promote the effectiveness of cognitive apprenticeship model, especially for processes of reflection, coaching, scaffolding and articulation.
The present study intended to bridge the gap between mobile technologies and cognitive apprenticeship. This study explores students’ experiences and expectations of using mobile technology in clinical nursing courses and clarifies how the cognitive apprenticeship model fits students’ experiences during using mobile technology in the clinical nursing course.