摘要
成绩是衡量教师教学质量以及学生学习效果的重要指标。由于影响学生学习成绩的因素众多,教师和学生不能清楚地认识影响成绩的关键因素。一方面,教师无法对教学方法做出有针对性的改进,以提高教学质量;另一方面,学生无法对学习方法做出有针对性的改进,以提高学习成绩。为了帮助高校教师及学生准确分析影响学习成绩的关键因素,设计了用于调查影响高校学生学习成绩因素的调查问卷,向该校大一至大四的学生分发调查问卷并收集数据,然后利用粗糙集理论的基于信息熵的启发式属性约简算法,找出影响高校学生学习成绩的关键因素,之后利用基于粗糙集理论的改进的基于分辨矩阵的属性值约简算法,挖掘出影响高校学生学习成绩的关键因素和成绩之间的依赖关系,导出规则集。通过实验验证了该规则集的有效性。研究成果可以帮助高校教师和学生了解影响成绩的关键因素,从而改进教师的教学方法和学生的学习方法。
Achievement is an important indicator of teaching quality and student learning. Because of many factors that affect student' s achievement, teachers and students cannot ,clearly recognize the key factors affecting the results. Therefore, on the one hand, teachers cannot make an improvement to teaching methods to improve the quality of teaching. On the other hand, students are unable to make targeted improvements to the learning methods to improve study performance. To help college students and teachers for analysis of key factors influencing academic performance accurately,a questionnaire about factors affecting college student achievement is designed. Those data are collected from the school' s freshman to senior, then using heuristic attribute reduction algorithm based on information entropy in rough set theory to identify the key factors affecting the performance of college students, and next applying improved property values reduction algorithm based on resolution matrix in rough set theory to mine key factors affecting student achievement and college students dependencies between the results derived the rule set. Finally through the experiment,the validity of the rule set is verified. Research can help university teachers and students to understand the key factors that affect performance, thereby improving the way teachers teaching and students learning.
出处
《计算机技术与发展》
2016年第11期200-204,共5页
Computer Technology and Development
基金
国家自然科学基金资助项目(61402005)
安徽省自然科学基金项目(1308085QF114)
安徽省高等学校省级自然科学基金项目(KJ2013A015
KJ2011Z020)
安徽大学大学生科研训练计划项目(KYXL2014064)
安徽大学计算智能与信号处理教育部重点实验室开放课题项目
关键词
高校学生
成绩影响因素
粗糙集
规则提取
属性约简
college student
factors affecting achievement
rough set
rule extraction
attribute reduction