土木类新专业学生认知分析——以郑州大学智能建造与智慧交通专业为例

【摘要】 该研究以郑州大学智能建造与智慧交通专业为例，通过问卷调查和Apriori关联规则挖掘算法，系统分析学生对新兴交叉学科的认知现状及其影响因素。研究发现，71%的学生因调剂选择该专业，且认知程度与选择动机显著相关；在期望课程设置为适当压缩，整合传统土木工程专业课程并引入相关技术的学生中，约有93%学生认为学校应重点培养技术应用与实践能力。基于数据分析结果，建立多维评估框架，提出优化课程体系、创新教学方法、深化校企合作等改革建议，为高校新工科专业建设提供实证依据。研究结果对提升学生专业认同感、完善人才培养模式具有重要参考价值。更多还原

【Abstract】 This study takes the Smart Construction and Smart Transportation major at Zhengzhou University as an example.Through questionnaire surveys and the Apriori association rule mining algorithm, it systematically analyzed the current cognitive status of students regarding the emerging interdisciplinary fields and the influencing factors. The study found that 71% of the students chose this major due to a transfer, and their level of cognition was significantly correlated with their motivation for selection. Among those who expected the curriculum to be appropriately compressed, integrated with traditional civil engineering courses and incorporating relevant technologies, approximately 93% of the students believed that the school should focus on cultivating technical application and practical abilities. Based on the data analysis results, a multi-dimensional evaluation framework was established, and reform suggestions such as optimizing the curriculum system, innovating teaching methods, and deepening school-enterprise cooperation were proposed, providing empirical evidence for the construction of new engineering disciplines in universities. The research results have important reference value for enhancing students’ professional identity and improving the talent cultivation model.更多还原