Impact and features of Chinese realism in painting with focus on tradition and modernity
Journal for Educators, Teachers and Trainers,
2021, Volume 12, Issue 1, Pages 165-172
AbstractThe relevance of the research topic lies in the fact that Western trends dominate in contemporary the Chinese realistic art, while interest in traditional painting techniques in a realistic direction has practically disappeared. To preserve the national cultural heritage, it is necessary to study more carefully the possibilities of applying traditional ideas in modern realistic painting. The purpose of the study is to identify the features of the traditional foundations of Chinese painting and their applied value for teaching students of modern painting. The objectives of the research are to analyze the scientific literature on the topic, conduct a survey among students to assess the traditions of Chinese re-artistic painting, as well as summarize the results of empirical research. The research methodology includes the methods of the general scientific group (analysis, synthesis, induction, deduction), as well as methods of art history analysis: historical and logical; analogy method; method of formal comparison. In an empirical study, the method of statistical analysis was used, applied using the program Neural Designer, a tool for advanced statistical analysis. The research materials were the results of a survey of 3rd year students (bachelor’s degree). Three groups of students were interviewed, each of which included 25 people: two experimental groups and one control group. The author of the study came to the conclusion that the combination of traditional and modern techniques in realistic painting in the classroom can increase the motivation for learning, develop new technical skills among students studying in the specialty «painting and graphics».
- Belozerova V.G. Anatomy of Traditional Chinese Painting. Society and State in China. 2015. No. 2. – P. 1-29.
- Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang. Neural Abstract Style Transfer for Chinese Traditional Painting. In book: Computer Vision - ACCV 2018. – P.212-227. DOI: 10.1007 / 978-3-030-20890-5_14
- Gao Ji, Nie Li, Huang Li, Duan Li. Traditional Chinese Painting Classification Based on Painting Techniques. Chinese Journal of Computers. 2017. № 7. – P. 2871-2878. DOI:10.11897/SP.J.1016.2017.02871
- Gray B. Chinese painting. Journal of The Royal Central Asian Society. 2021. Vol. 23. – P. 85-92. DOI:10.1080/03068373608730724
- Hu Jidong. The didactic and methodological potential of teaching Chinese ink painting as a factor in the development of a poly-artistic educational environment in the system of additional education. Modern teacher education. 2020.No. 2. – P. 64-69.
- Jiachuan ShengYuzhi Li. Classification of traditional Chinese paintings using a modified embedding algorithm. Journal of Electronic Imaging. 2019. Vol. 28(02). – P. 1-13. DOI:10.1117/1.JEI.28.2.023013
- Jianxin Luo. Chinese Painting and Traditional Chinese Culture. International Journal for Innovation Education and Research. 2016. Vol. 3(5). – P. 176-181. DOI:10.31686/ijier.vol3.iss5.373
- Li Fugui, Zubrilin K.M. Methods of teaching the traditional Chinese style of painting «Moguf» at the Moscow Institute of Arts (China). Science and school. 2020. No. 2. – P. 217-221.
- Not Qi. Some features of the use of materials and tools in Chinese traditional painting. In the world of science and art: issues of philology, art history and cultural studies. 2016. No. 7. – P. 1-6.
- Priest A. Aspects of Chinese painting. Museum History Journal. 2020. Vol. 13(2). P. 23-34. DOI:10.1080/19369816.2020.1786644
- Sheng Jin, Min Fan, Yongchao Wang, Qi Liu. Reconstructing Traditional Chinese Paintings with Immersive Virtual Reality. CHI Conference on Human Factors in Computing Systems. 2020. – P. 29-34. OI:10.1145/3334480.3382934
- Son-Mey Chiu. Exploring traditional Chinese painting: a case study of a group of five U.S. students. Journal of Electronic Imaging. 2020. Vol. 12(04). – P. 345-352.
- Sze-Teng, Liong Yen-Chang, Huang Shumeng Li, Zhongkai Huang, Jingyang Ma. Automatic traditional Chinese painting classification: A benchmarking analysis. Computational Intelligence. 2020. Vol. 36(3). – P. 123-128. DOI:10.1111/coin.12328
- Wang Yongshan. Traditional elements in modern Chinese oil painting. Manuscript. 2020. No. 3. – P. 1-6.
- Wenxiu Li. The Position and Role of Traditional Chinese Painting in the Tea Culture. International Conference on Culture, Education and Financial Development of Modern Society (ICCESE). 2017. – P. 87-111. DOI:10.2991/iccese-17.2017.111
- Xiaolong Wang, Ling Cai. Research on the Value of Modern Chinese Painting from the Perspective of Cultural Confidence. Proceedings of the 2018 6th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM). 2018. – P. 44-56. DOI:10.2991/ieesasm-18.2019.56
- Xie Yonghui. Current trends in the development of Chinese painting: general provisions. Innovative projects and programs in education. 2016. No. 5. – P. 76-79.
- Ying-Ling Huang. Collecting the new: Major museum collections of twentieth-century Chinese painting in London and Oxford. Museum History Journal. 2020. Vol. 13(2). – P. 1-22. DOI:10.1080/19369816.2020.1786642
- Yuting Pan, Wei Yu. Discussion on Aesthetic Design in Chinese Painting Based on Cross-Cultural Design. In book: HCI International 2020 – Posters. 2021. – P. 308-316. DOI:10.1007/978-3-030-50732-9_41
- Zhenhao Dong, Jing Wan, Chaoyue Li, Han Jiang, Yingge Qian. Feature Fusion based Cross-modal Retrieval for Traditional Chinese Painting. International Conference on Culture-oriented Science & Technology (ICCST). 2020. – P. 70-80. DOI:10.1109/ICCST50977.2020.00080
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