Open AccessResearch on Literature Aesthetic Education Based on Neural Network Algorithm
Author(s) -
Baofeng Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/4/042066
Subject(s) - connotation , treasure , chinese literature , consciousness , ideology , humanism , literary language , sociology , natural (archaeology) , value (mathematics) , aesthetics , computer science , psychology , linguistics , china , history , art , philosophy , political science , theology , archaeology , neuroscience , machine learning , politics , law
Chinese traditional Chinese language and literature learning mode emphasizes the application of knowledge, and pays attention to strengthening students’ memory of literary knowledge and literary theory in the process of Chinese language and literature learning, but the cultivation of aesthetic education has not been implemented. With the great development of ideology and culture, literary workers have created a large number of literary works, which poses new challenges to the application of natural language processing technology. Chinese language and literature, as a treasure of the Chinese nation, contains rich aesthetic elements and plays an important role in improving people’s humanistic cultivation and cultivating people’s aesthetic consciousness. In the teaching of Chinese language and literature, aesthetic education is beneficial to highlight the core connotation of the major and promote the overall development of students. On the basis of expounding the value connotation of aesthetic education in Chinese language and literature teaching, this paper analyzes the application of aesthetic education in Chinese language and literature teaching, and explores the specific implementation path of aesthetic education in Chinese language and culture specialty based on neural network algorithm.