基于项目式教学的“深度学习”教学实践改革策略

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中图分类号：TP181；G642 文献标志码：Adoi： 10.3969/j .issn.1673-5862.2025.05.009

Reform strategies for “Deep Learning" teaching practice based on project-based learning

FUChanghe1，WEI Xiaofang1，DENG Su²

（1.School of Statistics and Mathematics，Inner Mongolia University of Financeand Economics，Hohhot ，China；2. Collge of Mathematicsand Systems Science，Shenyang Normal University，Shenyang ，China）

Abstract： With the rapid advancement of artificial intelligence technology，“Deep Learning” have become core components of data science and AI-related programs in higher education institutions. This study addressing current challenges in practical teaching，such as the disconnect between theory and practice，outdated case studies，and insuficient cultivation of students’ innovative capabilities.A project-based learning reform model is proposed based on five years of teaching practice. Based on deep learning technology and focused on developing students’data literacy，the reform constructs a closed-loop system encompassing problem diagnosis， task design， teaching implementation，evaluation feedback，and knowledge transfer. This framework explores pathways todeeply integrate theoretical knowledge of“Deep Learning” with real-world enterprise applications.The initiative aims to enhance students’practical skills and innovative thinking， provide a replicable reform model for data analytics courses in universities，dynamically align teaching content with technological advancements，and cultivate versatile talent equipped with both engineering competence and scientific innovation capabilities.

Key Words：“Deep Learning"； project-based learning；data element quality；curriculum design

近年来，随着人工智能技术的蓬勃发展，“深度学习”在大语言模型、自动驾驶、语音识别和智能推荐等领域得到广泛的应用[1-4]。（剩余4734字）