Exploration of practical teaching of university mathematics driven by new engineering and data
新工科与数据驱动的大学数学实践教学探索

摘要

新工科与数据驱动的大学数学实践教学以互联网、人工智能等新兴技术为背景，通过重构教学模式提升学生的数据素养与创新能力。新工科强调跨学科融合，将大数据、云计算等技术融入数学课程设计，借助数据驱动的决策模型优化教学策略。针对传统教学模式偏重理论、实践不足的现状，改革措施包括内容创新、实践强化技术赋能。研究表明，该教学模式显著提升了学生的实践应用能力和团队协作水平，为培养适应智能制造、云计算等领域的高素质复合型人才提供了有效路径。

Abstract

The practical teaching of university mathematics driven by new engineering and data is based on emerging technologies such as the Internet and artificial intelligence, and improves students' data literacy and innovation ability by reconstructing the teaching model. New engineering emphasizes interdisciplinary integration, integrates technologies such as big data and cloud computing into mathematics course design, and optimizes teaching strategies with the help of data-driven decision-making models. In view of the current situation that the traditional teaching model focuses on theory and lacks practice, the reform measures include content innovation and practice-enhanced technology empowerment. Research shows that this teaching model significantly improves students' practical application ability and teamwork level, and provides an effective path for cultivating high-quality compound talents adaptable to intelligent manufacturing, cloud computing and other fields.