融合深度学习技术的艺术设计类专业人才培养模式研究  

Research on the Talent Cultivation Model for Art and Design Majors Integrated with Deep Learning Technology

作　　者：杨浩[1] YANG Hao(Huanghe University of Science and Technology,Henan Zhengzhou 450006)

机构地区：[1]黄河科技学院,河南郑州450006

出　　处：《吉林艺术学院学报》2024年第5期97-105,共9页Journal of Jilin University of Arts

基　　金：2024年第一批次教育部产学合作协同育人项目“融合大数据技术与深度学习的艺术设计类专业人才培养模式研究”(231102251141405)阶段性成果。

摘　　要：深度学习技术以强大的数据处理与分析能力,已经在各个领域展现出巨大的潜力和价值。以融合深度学习技术的艺术设计类专业人才培养模式为研究对象,阐述当前艺术设计类专业发展的现状与瓶颈,分析深度学习技术的基本原理,提出融合深度学习技术调整艺术设计类人才培养模式要结合当下社会对艺术设计类人才的需求,也要考虑深度学习技术本身的特点。艺术设计类专业教育要以培养跨学科的复合型应用人才为目标,构建完善的模块化课程体系,强化数据驱动的人才培养策略,协同多方主体共助新质人才培养。With its powerful data processing and analysis capabilities,deep learning technology has demonstrated tremendous potential and value across various fields.This paper focuses on the integration of deep learning technology into the talent cultivation model for art and design majors.It begins by discussing the current development status and challenges faced by art and design majors,followed by an analysis of the basic principles of deep learning technology.The paper proposes that the talent cultivation model for art and design majors should be adjusted to incorporate deep learning technology,aligning with the current societal demand for professionals in this field while considering the characteristics of deep learning technology itself.Based on this,the paper suggests that art and design education should aim to cultivate interdisciplinary,composite talents,establish a comprehensive modular curriculum system,strengthen data-driven talent cultivation strategies,and collaborate with multiple stakeholders to support the development of new-quality talent.

关 键 词：深度学习技术 艺术设计 人才培养 

分 类 号：G642.0[文化科学—高等教育学]