基于粗糙集理论的影响高校学生成绩因素研究

Research on Factors Affecting College Achievement Based on Rough Set

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.