Enhanced Art Design Education: Integrating Artificial Intelligence for Resource Optimization and Innovative Teaching
- DOI
- 10.2991/978-94-6463-560-7_29How to use a DOI?
- Keywords
- Art Design Education; Artificial Intelligence (AI); Resource Integration; Teaching Optimization
- Abstract
This study examines the integration of artificial intelligence (AI) within art design education at Guangdong University of Education, emphasizing resource management and the enhancement of teaching methodologies. Through an exploration of theoretical frameworks and a comprehensive literature review, the research identifies successful applications and case studies where AI has significantly enriched the learning experience in art design. Findings suggest that AI fosters creativity and innovation by delivering personalized learning experiences and optimizing resource utilization. Nonetheless, the study also underscores the challenges and limitations associated with implementing AI technologies. Recommendations are aimed to provide deeper insights for educators and policymakers to effectively integrate AI into art design education.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Jiali Liang PY - 2024 DA - 2024/11/01 TI - Enhanced Art Design Education: Integrating Artificial Intelligence for Resource Optimization and Innovative Teaching BT - Proceedings of the 2024 4th International Conference on Internet Technology and Educational Informatization (ITEI 2024) PB - Atlantis Press SP - 239 EP - 247 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-560-7_29 DO - 10.2991/978-94-6463-560-7_29 ID - Liang2024 ER -