Abstract:Bilingual education for the deaf is always necessary. This text discusses sign languages since antiquity, passing through researchers in different times and countries. The recognition of deaf cultural and historical heritage contributes to the formation of deaf identities. Is it possible to say that Berthier and Bébian, French teachers of the 19th century, contributed to sign languages becoming an identity mark? What was the work performed by Huet in Brazil and Le Clerc in the United States? Moreover, why are … Show more
“…The current stage art has slowly changed from a wide range of props to show the realism of life to a three-dimensional sense of space on the stage with an emphasis on writing to express the mood while showing the coexistence of reality and mood and a variety of styles and forms of scenery [18][19][20][21]. In the current digital information era, some traditional culture, such as opera culture, has been gradually replaced by online culture, and our young people are gradually unfamiliar with opera, so how to integrate this ancient traditional culture with the more active stage art now and to have a new understanding of traditional culture and pass it on is an urgent task now [22][23][24][25].…”
Character styling design can clearly show the background of story characters and the characteristics of the times in the performance of stage plays. Integrating traditional culture with the art of stage plays is important for developing theatrical communication. In this paper, we analyze the factors that impact theatrical communication in the context of big data. Based on the original innovation diffusion model, it analyzes the limitations of its application, analyzes the innovation characteristics of theatrical stage makeup modeling from a qualitative perspective, finds that its diffusion characteristics do not conform to the prerequisite assumptions of the original innovation diffusion model, and confirms the improvement direction of the innovation diffusion model. Based on the analysis of audience data by the full data analysis method, the main influencing factors affecting the diffusion of opera heritage are identified, and their practical significance in the improved model is analyzed. The original innovation diffusion model is improved quantitatively, and an iterative diffusion model is established. Empirical analysis of the iterative diffusion model was conducted using the actual diffusion data of opera stage makeup styling. The research results show that the initial diffusion rates of the products are, in descending order, Cheese Superman, TikTok, Watermelon Video, and Punchbowl. Among them, the cumulative diffusion of TikTok is the highest at 14, and the diffusion rate of Watermelon Video is 0.68. It indicates that the above products effectively spread opera culture and highlight the charm of opera stage makeup styling.
“…The current stage art has slowly changed from a wide range of props to show the realism of life to a three-dimensional sense of space on the stage with an emphasis on writing to express the mood while showing the coexistence of reality and mood and a variety of styles and forms of scenery [18][19][20][21]. In the current digital information era, some traditional culture, such as opera culture, has been gradually replaced by online culture, and our young people are gradually unfamiliar with opera, so how to integrate this ancient traditional culture with the more active stage art now and to have a new understanding of traditional culture and pass it on is an urgent task now [22][23][24][25].…”
Character styling design can clearly show the background of story characters and the characteristics of the times in the performance of stage plays. Integrating traditional culture with the art of stage plays is important for developing theatrical communication. In this paper, we analyze the factors that impact theatrical communication in the context of big data. Based on the original innovation diffusion model, it analyzes the limitations of its application, analyzes the innovation characteristics of theatrical stage makeup modeling from a qualitative perspective, finds that its diffusion characteristics do not conform to the prerequisite assumptions of the original innovation diffusion model, and confirms the improvement direction of the innovation diffusion model. Based on the analysis of audience data by the full data analysis method, the main influencing factors affecting the diffusion of opera heritage are identified, and their practical significance in the improved model is analyzed. The original innovation diffusion model is improved quantitatively, and an iterative diffusion model is established. Empirical analysis of the iterative diffusion model was conducted using the actual diffusion data of opera stage makeup styling. The research results show that the initial diffusion rates of the products are, in descending order, Cheese Superman, TikTok, Watermelon Video, and Punchbowl. Among them, the cumulative diffusion of TikTok is the highest at 14, and the diffusion rate of Watermelon Video is 0.68. It indicates that the above products effectively spread opera culture and highlight the charm of opera stage makeup styling.
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