Intelligent Knowledge Management and Application in Art Design Experimental Teaching of Colleges and Universities

DOI

10.2991/978-2-38476-364-1_75How to use a DOI?

Keywords

Higher Education; Experimental Teaching; Art Design; Knowledge Graph

Abstract

This paper explores the application of knowledge graphs and artificial intelligence technology in the experimental teaching of art design in colleges and universities, as well as how these technologies can promote educational reform and enhance the quality of education. It points out that knowledge graphs, as a new way of representing and organizing knowledge, make personalized learning and intelligent recommendation of teaching resources possible. A reform plan for art design experimental teaching based on AI technology and knowledge graphs is proposed, further elaborating on the construction goals of the art design experimental teaching platform. Through the approach of “deconstruction—embedding—integration,” the teaching objectives and content are deconstructed and embedded with knowledge graphs and AI technology to improve teaching efficiency and effectiveness. Taking the experimental projects of the Experimental Teaching Center of the School of Art at Sichuan University as an example, it demonstrates how to incorporate experimental projects into the teaching platform and use knowledge graphs to perfect the knowledge elements of experimental projects, thereby achieving a three-dimensional and personalized teaching content.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiaoxi Fan
AU  - Yao Sun
AU  - Xiang Wang
AU  - Ting Liu
PY  - 2025
DA  - 2025/03/17
TI  - Intelligent Knowledge Management and Application in Art Design Experimental Teaching of Colleges and Universities
BT  - Proceedings of the 2024 4th International Conference on Education, Language and Art (ICELA 2024)
PB  - Atlantis Press
SP  - 596
EP  - 605
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-364-1_75
DO  - 10.2991/978-2-38476-364-1_75
ID  - Fan2025
ER  -