新文科背景下深度学习技术在教学中的应用研究——以宏观经济学模型教学为例

Application Research of Deep Learning Technology in Teaching under the Background of New Liberal Arts:A Case Study of Macroeconomic Modeling Teaching

新文科建设强调加强多学科交叉融合,将新技术融入专业课程教学过程中。深度学习技术在改进教学方法、培养创新型人才方面具有较大应用价值。以宏观经济学模型教学为例,分析深度学习技术的实际应用。通过学生反馈与教学效果评估,评价其有效性,提出了基于深度学习的教学实践策略,包括整合深度学习技术的教学设计、培训支持,学生参与、评估改进。未来深度学习技术在教学应用中也面临挑战,如技术复杂性、数据安全性和教育资源的限制等。通过深度学习技术推动教学的个性化、实时反馈和互动学习,优化教学资源和工具,可促使教学内容和方法的持续革新,提升教学质量和效率。

The construction of the new liberal arts emphasizes strengthening interdisciplinary integration and incorporating new technologies into the teaching process.Deep learning technology has significant application value in improving teaching methods and cultivating innovative talents.Taking macroeconomics modeling teaching as an example,this paper analyzes the practical application of deep learning technology.Its effectiveness is evaluated through student feedback and teaching effectiveness assessment.Teaching practices based on deep learning are proposed,including integrating deep learning technology into teaching design,providing training support,involving students,and continuous improvement through assessment.In the future,deep learning technology in teaching applications will also face challenges such as technical complexity,data security,and limitations in educational resources.By leveraging deep learning technology to promote personalized,real-time feedback,and interactive learning,optimizing teaching resources and tools,it can facilitate continuous innovation in teaching content and methods,enhancing teaching quality and efficiency.