Application of Artificial Intelligence-based Visual Arts Pedagogy in Traditional Painting Education

被引：0

作者：

Wu, Qiang ^{[1
]}

机构：

[1] Kashi University, Xinjiang, Kashi,844006, China

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Traditional art has a deep cultural heritage and rich connotation, combining artificial intelligence technology with traditional aesthetics as a way to realize the innovation of traditional painting education mode. In this paper, starting from the performance of traditional painting's aesthetic value, a personalized intelligent painting teaching mode is constructed based on the visual art teaching method and combined with artificial intelligence. The CCME-GAN model is introduced for the construction of a personalized painting learning generation model, and the BERT-LDA model is established by combining the BERT model and the LDA model for the intelligent evaluation of personalized painting works. Xinjiang folk artworks were selected as the research data source to carry out the validation of personalized painting work generation and assessment, and teaching comparison experiments were designed to analyze the teaching effect of the personalized intelligent teaching mode. The subjective evaluation score of Xinjiang folk art paintings generated by the CCME-GAN model was 9.11, and among the nine clustering results of painting work assessment, the eigenvalues of the theme of painting evaluation of Cluster 1 range between [0,5.5]. At the end of the teaching experiment, students' creativity scores increased from 2.74±0.37 before the experiment to 4.63±0.26. Relying on artificial intelligence technology can enhance the teaching effect of traditional painting methods and improve students' painting levels. © 2024 Qiang Wu, published by Sciendo;

D O I：

10.2478/amns-2024-2994

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[1] A Review on Traditional and Artificial Intelligence-Based Preservation Techniques for Oil Painting Artworks
Khalid, Salman
Azad, Muhammad Muzammil
Kim, Heung Soo
Yoon, Yanggi
Lee, Hanhyoung
Choi, Kwang-Soon
Yang, Yoonmo
GELS, 2024, 10 (08)
[2] Artificial Intelligence-Based Smart Engineering Education
Ouyang, Fan
Jiao, Pengcheng
Alavi, Amir H.
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2020, 2020, 11379
[3] Artificial intelligence-based application in multiple myeloma
Piscopo, Leandra
Scaglione, Mariano
Klain, Michele
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2024, 51 (07) : 1923 - 1925
[4] AN ARTIFICIAL INTELLIGENCE-BASED DISTANCE EDUCATION SYSTEM: Artimat
Nabiyev, Vasif
Karal, Hasan
Arslan, Selahattin
Erumit, Ali Kursat
Cebi, Ayca
TURKISH ONLINE JOURNAL OF DISTANCE EDUCATION, 2013, 14 (02): : 81 - 98
[5] Visual Analysis of The Application of Artificial Intelligence in Education
Wang, Fei
Tao Xinrong
2018 INTERNATIONAL JOINT CONFERENCE ON INFORMATION, MEDIA AND ENGINEERING (ICIME), 2018, : 187 - 191
[6] Application of Artificial Intelligence-Based Big Data AI Technology in Physical Education Reform
Cao, Feng
Lei, Ming
Lin, Sen
Xiang, Maojuan
MOBILE INFORMATION SYSTEMS, 2022, 2022
[7] AN APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY IN LITERATURE REVIEWS
Wu, E. Q.
Ayyagari, R.
Royer, J.
Li, J.
Wang, J.
Lefebvre, P.
Patterson-Lomba, O.
VALUE IN HEALTH, 2018, 21 : S369 - S369
[8] Artificial intelligence-based tokens: Fresh evidence of connectedness with artificial intelligence-based equities
Jareno, Francisco
Yousaf, Imran
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2023, 89
[9] Application of Artificial Intelligence Technology in Martial Arts Education Governance
Ye, Weiwu
Li, Shihong
Liu, Shuaibing
Zhou, Yuan
DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2022, 2022
[10] Emerging Artificial Intelligence-Based Pedagogies in Didactic Nursing Education
Gerdes, Michele
Bayne, Andrew
Henry, Kristina
Ludwig, Barbara
Stephenson, Leigh
Vance, Allison
Wessol, Jennifer
Winston, Sarah
NURSE EDUCATOR, 2024,

← 1 2 3 4 5 →