摘要
在人工智能快速发展的背景下,本研究以智慧交通场景为例开展实验系统教学改革。首先,基于智能交通产业人才需求和人工智能技术发展趋势,从培养模式、课程体系、场景化实验3个维度重构智慧交通实践教学体系;其次,通过整合产教融合案例和智慧交通场景化模型,构建全息路网感知数据库,并开发面向智慧交通场景应用的多模态大模型;最后,通过建设面向智慧交通场景应用的AI数字人实验系统,在不同交通模拟场景中开展人工智能应用实验,实现“教学实验场景-实际项目应用”的有机衔接。评价结果显示,该实验系统显著提升了学生的专业认知、实践参与度、课程满意度、竞赛获奖率等关键指标。
In the context of rapid development of artificial intelligence,we explore experimental system teaching reform by using smart transportation scenarios as an example.This paper first reshapes the intelligent transportation practical teaching system from three aspects of cultivation model,curriculum system and scenario-based experimentation based on the talent demand of the intelligent transportation industry and the development trend of artificial intelligence technology.Then,based on the application cases of industry education integration and the scenario based model of smart transportation,a holographic road network perception database is formed to construct a multimodal large model for smart transportation scenario applications.Finally,the mapping of“teaching experimental scenarios-practical project applications”is formed through the construction of an AI digital human experimental system for intelligent transportation scenarios and implementation of artificial intelligence application experiments in different traffic simulation scenarios.The evaluation results indicate that students achieve effective improvement in professional cognition,practical participation,course satisfaction,and competition awards.
作者
王庞伟
徐京辉
何昕泽
王思淼
WANG Pangwei;XU Jinghui;HE Xinze;WANG Simiao(School of Electrical and Control Engineering,North China University of Technology,Beijing 100144,China)
出处
《实验室研究与探索》
北大核心
2025年第9期29-33,共5页
Research and Exploration In Laboratory
基金
北京市教育科学“十四五”规划课题(CGDB23480)
北京高等教育本科教学改革创新项目(202210009003)
北京市高等教育学会2024年课题(MS2024294)。
关键词
智慧交通
人工智能
产教融合
数字人
intelligent transportation
artificial intelligence
industry-education integration
digital human
