基于数据挖掘技术对培养应用型人才的课程学习现状与反思  

The Current Situation and Reflection on the Course Learning ofCultivating Applied Talents Based on Data Mining Technology

作　　者：刘勃 向红丽[1] Liu Bo;Xiang Hongli(Graduate School of Xi'an University of Posts&Telecommunications,Xi'an 710121)

机构地区：[1]西安邮电大学研究生院,陕西西安710121

出　　处：《中阿科技论坛（中英文）》2020年第9期141-143,共3页China-Arab States Science and Technology Forum

基　　金：2019年西安邮电大学研究生教育教学改革项目“基于数据挖掘技术的研究生公共课课程学习成绩分析”(YJGJ201945)。

摘　　要：本文通过对西安邮电大学2014—2018级研究生学位课学习成绩进行统计分析,发现公共基础课等选课人数较多的课程更容易出现不及格,与学术性学位研究生相比,专业学位研究生课程学习成绩不及格的人数和比例都比较突出。文章对此现象的成因进行分析并提出了针对性的措施。This paper focuses on the statistical analysis of the academic performance of postgraduate degree courses in Xi'an University of Posts and Telecommunications from 2014 to 2018.It is found that courses with a large number of students such as public basic courses are more likely to fail.Compared with academic degree graduates,the number and proportion of students with professional degree who fail in academic degree courses are more prominent.This paper makes a detailed analysis of the specific reasons for this situation,and finally puts forward targeted measures and suggestions.

关 键 词：研究生 学习成绩 专业学位 预警机制 

分 类 号：G643[文化科学—高等教育学]