ARTICLE
30 September 2026

Research on the Application and Practice of Artificial Intelligence Technology in the Teaching Reform of the “Plane Composition” Course

Chen Ma1 ,  Yifan Gao1 ,  Guang Yang1 ,  Wei Chang1 ,  Ying Zhang1
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1 Tangshan Normal University, Tangshan 063000, China
JCER 2026 , 10(9), 72–78; https://doi.org/10.26689/JCER.v10i9.15642
© 2026 by the Author(s). Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

To address issues in the traditional teaching model of the “Plane Composition” course, such as rigid form training, low efficiency in creative iteration, lack of personalized tutoring, insufficient cultivation of innovative abilities, and a single evaluation dimension, this article utilizes the teaching practice of this course as a vehicle. By flexibly employing various AI tools such as Adobe Firefly, Stable Diffusion, and the Chaoxing Learning Platform AI Teaching Assistant, it effectively integrates artificial intelligence technology throughout the entire teaching process—before, during, and after class—thereby achieving an effective reconstruction of the teaching model and evaluation system. This practice demonstrates that the rational use of artificial intelligence technology can significantly enhance students’ learning enthusiasm and creative practical abilities, further improving teaching efficiency and the scientific nature of teaching evaluations. The research aims to provide valuable references for the digital and intelligent reform of basic course teaching activities in art and design disciplines. 

Keywords
Artificial intelligence technology
Chaoxing Learning Platform
Plane composition
Learning situation diagnosis
Project-based tasks
References

[1] Wei L, 2025, Research on Strategies for Empowering Art and Design Majors in Vocational Colleges with Artificial Intelligence. Heilongjiang Pictorial, (24): 105–107.

[2] Dou H, Xie XF, 2025, Research on the Construction of a Teaching Evaluation System for Art and Design Majors in Guangxi Applied Universities Empowered by Digital and Intelligent Cultural Tourism. Art Education Research, (24): 164–166.

[3] Gao YL, 2025, Research on the Innovative Talent Cultivation Model for Art and Design Majors Driven by Artificial Intelligence. Portrait Photography, (15): 163–164.

[4] Lv HP, Zhu N, Ren AR, 2025, Practice of Digital and Intelligent Transformation in University Art and Design Empowered by AIGC Technology. New Curriculum Teaching (Electronic Edition), (23): 173–175.

[5] Yang J, 2025, Application of Virtual Simulation Technology in the Curriculum Reform of “Digital Art and Design” under the Background of Artificial Intelligence. Science and Innovation, (24): 174–176 + 179.

[6] Xu BX, 2025, Research on the Innovative Development of Practical Teaching in Digital Media Art and Design Assisted by Artificial Intelligence, Guyuan Daily, November 26, 2025, (003).

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