摘要
本研究面向新工科背景下的交通工程专业,探索本研贯通知识与课程体系建设方法。以新工业革命背景下人才培养的需求为导向,采用了知识图谱构建、课程词频分析、课程相似度计算等文本挖掘方法,通过顶层优化制定能够满足未来智能交通发展需求的知识体系,形成了学科交叉基础课程群与本研贯通专业课程群并在此基础上形成了本研贯通培养的实施路径与质量保障手段。研究成果将为其他工科专业推进本研贯通教育改革、提升人才培养质量提供有益借鉴。
This study aims at exploring the construction methods of undergraduate-graduate integrated knowledge and curriculum systems of Transportation Engineering under the background of emerging engineering education.Guided by the needs of talent training under the background of the new industrial revolution,text mining methods including knowledge graph construction,course words frequency analysis,and course similarity calculation are adopted.And a knowledge system that can meet the needs of future intelligent transportation development is constructed through top-level optimization.Based on this,this study constructs interdisciplinary basic course groups and undergraduate-graduate integrated professional course groups.Then,the implementation paths and quality assurance measures for undergraduate-graduate integrated education are formed.The research results will provide useful reference for other engineering majors to promote the education reform and improve the quality of talent training.
作者
柴晨
梁莹
冯蕊
Chai Chen;Liang Ying;Feng Rui
出处
《高等工程教育研究》
北大核心
2025年第4期79-81,130,共4页
Research in Higher Education of Engineering
基金
上海市教育委员会“上海高校本科重点教改项目”(2023ZD03)
中国交通教育研究会“教育科学重点研究课题”(JT2022ZD020)
同济大学“研究生重点教学改革项目”(2024ZD08)。
关键词
本研贯通
文本挖掘
知识图谱
学科交叉
课程体系
undergraduate-graduate integration
text mining
knowledge graph
discipline construction
curriculum system
