基于R语言硕士培养与升学相关性分析——以中国矿业大学(北京)资源与安全工程专业的硕士研究生为例

An Analysis of the Relevance of Master’s Cultivation and Progression Based on R Language——Taking the Postgraduates of Resources and Safety Engineering of China University of Mining and Technology(Beijing) as an Example

为提高理工类学科硕士研究生的培养质量,以中国矿业大学(北京)资源与安全工程学院安全工程专业近12年硕士毕业生为分析对象,将硕士研究生分为读博与不读博两个层次以及学术型与专业型两类,利用R语言对硕士研究生论文发表和国家科研项目参与情况进行统计分析。结果表明:(1)与专业型硕士研究生相比,学术型硕士研究生教育产出成果的年累积量更多;(2)学术成果在读博与不读博层次不同的硕士研究生总体中无显著性差异;(3)硕士研究生是否读博与其学位类型无关。研究成果为创新硕士研究生培养模式和提升研究生培养质量提供参考与借鉴。

In order to improve the quality of postgraduates in science and engineering disciplines,taking the graduates of the master's degree in safety engineering of the China University of Mining and Technology (Beijing) Institute of Resources and Safety Engineering in the past 12 years as the object of analysis,dividing them into two different levels and two types of degree and using R language to statistically analyze the publication of the master graduate students and the participation of national scientific research projects.The results show that academic graduate students have more annual academic output achievements than professional graduate students;there is no significant difference in academic achievement among master graduate students who choose to read doctoral or not and there is no correlation between the choice of doctoral degree and the type of degree for master graduate students.The research results provide certain reference and suggestions for the innovation of the postgraduate training model and for improving the quality of postgraduate training.