摘要
通过对云南某高校349份问卷调查的统计分析,从影响大学生学习成绩的个体特征、学习投入、课程负担、教师课堂教学和环境因素方面选择自变量,构建了影响西南地区95后大学生学习成绩因素的受限审查回归模型。分析模型结果表明:生源质量、高考成绩、职业规划、宿舍因素是影响学生成绩的主要影响因素。针对上述分析,从不同的角度提出了高校提升教学成绩的应对措施和建议。
Based on the statistical analysis of 349 questionnaires in a university in Yunnan, a binary logistic selection model and a constrained review regression model are established, which influence the academic achievements of post-95s college students in the southwest region. Compared with the results of the two models, the results of the constrained review regression model are more significant. It shows that student quality, college entrance examination scores, career planning and dormitory conditions are the main influencing factors. In view of the above analysis, this paper is an attempt to provide corresponding measures and suggestions to improve university's teaching performance from different angles.
作者
刘慧娟
孙红兵
LIU Huijuan SUN Hongbing(Faculty of Science, Kunming University of Science and Technology, Kunming 65009)
出处
《计算机与数字工程》
2017年第9期1687-1692,共6页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:71463031
11261025)
昆明理工大学教师教学能力提升研究
实践综合课题资助
关键词
问卷调查
学习现状
学生成绩
影响因素
受限审查回归
questionnaire, learning situation, academic achievement, influencing factors, constrained review regression model