新工科背景下数智赋能交通信息类教育教学改革的体系构建与实践

System Construction and Practice of Digital and Intelligent Empowerment in the Teaching Reform of Traffic Information Education under the Background of New Engineering Disciplines

摘要: 在教育部深入推进“新工科”建设的背景下，交通信息类专业作为支撑智慧交通建设的核心，其人才培养质量与国家现代化战略息息相关。然而，面对产业界对具备创新创业能力、跨界整合能力及高阶工程实践能力的复合型人才的迫切需求，传统的工程教育模式逐渐暴露出诸多局限性。当前教学中普遍存在课程体系碎片化、跨学科交叉不足的问题，且内容滞后于计算机视觉、深度强化学习等前沿产业技术的迭代。本文立足交通信息类学科特色，系统剖析传统教学困境，提出“数智赋能”的教学改革体系构建思路。通过重构多维交叉的课程框架、搭建虚实结合的AI融合教学实践平台，并结合具体案例，深入探讨了新工科背景下创新人才培养的有效路径。

Abstract: As the Ministry of Education advances its Emerging Engineering Education initiative, traffic information disciplines—central to smart transportation—play a critical role in cultivating talent that directly supports national modernization strategies. However, given the pressing industry demand for interdisciplinary professionals with skills in innovation, entrepreneurship, cross-domain integration, and high-level engineering practice, traditional engineering education models have shown significant limitations. Current instruction suffers from fragmented curricula, weak interdisciplinary integration, and content that lags behind fast-evolving technologies such as computer vision and deep reinforcement learning. Grounded in the unique characteristics of traffic information disciplines, this paper systematically analyzes the shortcomings of conventional teaching and proposes a reform framework driven by “digital intelligence empowerment”. By restructuring a multidimensional, crosscutting curriculum and building an AI-integrated teaching platform that bridges virtual and real environments, and through case studies, this paper explores effective pathways for cultivating innovative talent in Emerging Engineering Education.