Application of Artificial Intelligence Technology in the Teaching of Complex Situations of Folk Music under the Vision of New Media Art

Abstract

Enhancement in information technology has made the online teaching-learning process easier. However, this process is still a challenging task for teaching courses of theoretical type, music, dance, and arts. For the classes of these types, the traditional system of teaching and learning is well suited, but, in particularly complex situations, accomplishing the task is highly difficult. Hence, new media art technology is introduced to overcome the difficulties. In this research, Chinese folk music is taught online with the aid of new media art with the support of artificial intelligence. The analysis of the proposed work is carried out on the folk music dataset, which considers folk music of ethnic minority groups. A novel Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) art algorithm is implemented to perform the analysis. The performance is compared with the existing gradient descent, Adam, and AdaDelta algorithms. L-BFGS algorithm is essentially a particular recipe for designing and possibly executing an artwork, including algorithms, functions, facial expression, and other input that ultimately decides the structure the folk music and media art would then take. This contribution could be numerical, information processing, or formative. From the obtained results, it can be shown that the proposed system has provided 97% and 98% of accuracy on training and testing data, which is higher when compared to the existing algorithms.

Construction of an Art Education Teaching System Assisted by Artificial Intelligence

“…With the advancement of technology and the development of media art, artificial intelligence technology has penetrated into various art fields, especially in the application of complex situational teaching in folk music, which is becoming increasingly prominent. Li and Bin [5] discussed how artificial intelligence can assist in the teaching of complex folk music situations and promote the modernization of traditional folk music education from the perspective of media art. Media art, as a new field that integrates technology and art, has brought a new perspective to traditional folk music teaching.…”

Optimization of Digital Media Art Creation Process Based on Dual Transformer Residual Network (DTRN) and Lotus Effect Optimization Algorithm (LEA)

“…To our visual experiences, professionals like animators, graphic designers, photographers, videographers, and game designers contribute. Artificial Intelligence (AI) aims to replicate human intelligence in computers, enabling machines to learn and solve problems like humans [1]. Visual communication encompasses the use of visual elements, such as animated GIFs, images, movies, diagrams, canvases, and slide deck presentations to communicate concepts or information [2].…”

Preservation and Transmission Guidelines of Salar Vocal Folk Music

“…In the face of modernization, Salar vocal folk music culture is undergoing a profound transformation. Traditional practices, clothing, language, and customs are gradually modernizing, leading to the gradual erosion of cultural traditions and rituals (Jing, 1991;Keating, 2016;Li & Ismail, 2022). Moreover, the number of proficient folk artists well versed in traditional songs is dwindling, making it increasingly challenging to find individuals with deep expertise in Salar musical traditions.…”