The application of AI in the aesthetic cultivation of Chinese education

Author(s):  
Yajuan Wang ◽  
Wen li ◽  
Ruifang Xu

This article will briefly analyse the research background and research significance of the infiltration of aesthetic cultivation in Chinese language and literature education in the context of new media. And through the calculation based on decision tree and C4.5 algorithm, the paper tries to makes the construction of infiltration system of aesthetic cultivation in Chinese language and literature education in the context of new media more scientific and reasonable. This paper also analyses the main connotation and significance of aesthetic cultivation and puts forward the effective infiltration way of aesthetic cultivation in Chinese language and literature in the context of new media, aiming at promoting the comprehensive and coordinated development of Chinese students.

2021 ◽  
Author(s):  
XI CHEN

Chinese is one of the most important courses in China's educational subjects, a very important basic discipline. College Chinese language and literature, this course should be energetic, learning of college students' love and positive input. However, the innovation ability of Chinese teaching in China is still insufficient and lacks vitality. College Chinese teaching has not yet become a fortress that can provide talents for our country, and has not yet played a vanguard and exemplary role. This paper puts forward corresponding suggestions and suggestions on the problems existing in the current stage of cultivating students' innovative ability in college Chinese teaching classroom, so as to promote the better development of college Chinese education in China.


2020 ◽  
Vol 4 (7) ◽  
Author(s):  
Shijing Sun

Our country has a long history and culture. Teachers should actively promote the excellent Chinese traditional culture, do a good job of teaching and guidance, and effectively improve students' learning enthusiasm in the teaching of Chinese language and literature. However, the current Chinese literature taught in vocational higher education institution still has problems such as unclear educational goals, low curriculum status, and low level of informatization. Therefore, this paper fully studies and utilizes the advantages of vocational education on the premise of fully understanding the development goals of Chinese education in vocational higher education institution, enriching the content of Chinese language and literature education, strengthening Chinese language and literature education, and cultivating information ability. It is to help students better understand our country’s fine traditional culture, guide students to establish correct learning concepts, and improve overall quality.


2015 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
JianHua Yang ◽  
Zhao Kun ◽  
Min Yin

2020 ◽  
Vol 7 (2) ◽  
pp. 200
Author(s):  
Puji Santoso ◽  
Rudy Setiawan

One of the tasks in the field of marketing finance is to analyze customer data to find out which customers have the potential to do credit again. The method used to analyze customer data is by classifying all customers who have completed their credit installments into marketing targets, so this method causes high operational marketing costs. Therefore this research was conducted to help solve the above problems by designing a data mining application that serves to predict the criteria of credit customers with the potential to lend (credit) to Mega Auto Finance. The Mega Auto finance Fund Section located in Kotim Regency is a place chosen by researchers as a case study, assuming the Mega Auto finance Fund Section has experienced the same problems as described above. Data mining techniques that are applied to the application built is a classification while the classification method used is the Decision Tree (decision tree). While the algorithm used as a decision tree forming algorithm is the C4.5 Algorithm. The data processed in this study is the installment data of Mega Auto finance loan customers in July 2018 in Microsoft Excel format. The results of this study are an application that can facilitate the Mega Auto finance Funds Section in obtaining credit marketing targets in the future


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