From Cultural Heritage Preservation to Art Craft Education: A Study on Taiwan Traditional Lacquerware Art Preservation and Training

Abstract

In Taiwan, preservation and training policies of intangible cultural assets are highly valued by the government. In this study, lacquerware art craft education as intangible cultural heritage is the subject of this study. We conducted in-depth interviews and secondary data collection to obtain research data and carried out a grounded theory data analysis method through expert meetings to explore the passing on education strategy of “lacquerware art craft” in Taiwan. Firstly, based on Bloom’s educational objectives, the study analyzed three aspects of lacquer art education: cognitive, affection and skill, and proposed a “Lacquerware Art Passing-On Education Framework Diagram”. Later, the analysis results of the grounded theory enable us to summarize the “Lacquerware art value and learning structure diagram”. In this structure, it reveals that the Lacquerware artist’s way of thinking about the craft levels can echo the system of the Three Extremes of the Tao in the Book of Changes and divide the value levels of creation into the levels of tools of livelihood, way of living and philosophy of life.

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“…The authors investigated the current state of traditional lacquerware art preservation and training in Taiwan [5]. Using a combination of a literature review, expert interviews and field visits, in this study, several challenges for preservation and training were identified, including limited resources, difficulty transmitting traditional techniques, and declining interest in traditional arts and crafts.…”

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“…Open Coding, axial coding, dan selective coding digunakan dalam tiga proses berturutturut untuk menganalisis data (Hung et al, 2021;Xiang et al, 2021;Zhou et al, 2021). Pengumpulan data dan analisis data merupakan aktivitas yang saling terkait dalam grounded theory.…”

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“…Konsep yang ditemukan melalui rangkaian analisis data ini digunakan peneliti sebagai proses untuk memandu pengambilan data kembali. Terdapat tiga tahap pengkodean yang dilakukan secara berturut-turut untuk menganalisis data pada penelitian ini, diantaranya adalah Open Coding, axial coding, dan selective coding (Hung et al, 2021;Xiang et al, 2021;Zhou et al, 2021). Dalam proses analisis data, peneliti mengawali dengan pembuatan open coding, yaitu mengkodekan data-data untuk Menyusun tema-tema atau kategori-kategori tertentu.…”