摘要
随着高校招生规模的不断扩大,高校教学管理工作越来越繁重,积累的相关数据也越来越多,如何有效的利用这些数据,分析影响学生培养的因素,完善学生培养方式,是高校发展的关键。结合高校的教学数据,采用数据挖掘技术,将当前的教学管理数据转化成可供使用的信息,通过对数据的分析,挖掘影响学生成绩的内在因素,为高校学生培养方式的完善提供理论指导,为教学改革提供决策依据。研究结果表明,要提高高校教育教学水平,在课程安排上要结合培养专业的需求情况进行分析指导,对考试题目进行优化,改进教学方法、教学评价,依据学生成绩数据分析,指导学生培养中的理论和实践课安排,确定合适、合理的学生培养方案。
With the continuous expansion of enrollment scale in colleges and universities, teaching management is becoming difficult more and more, and more relevant data are being accumulated. It is the key to the development of colleges and universities how to use these data effectively and analyze the factors that affect the cultivation of students to improve the way of training students. Combining with the teaching data of colleges and universities, data mining technology is used to discover the knowledge of data, converts the current teaching management data into useful information, and through the analysis of the data, digging the internal factors that affect the students undefined achievement. It provides theoretical guidance for the improvement of college students undefined training mode and provides decision-making basis for teaching reform. The results show that in order to improve the level of education and teaching in colleges and universities, the curriculum arrangement should be combined with the needs of the training major for analysis and guidance, the optimization of examination topics, the improvement of teaching methods, teaching evaluation. According to the analysis of students undefined achievement data, advices are put forward to the arrangement of theoretical and practical courses in the training of students, and determines a suitable and reasonable training plan for students.
作者
张小奇
ZHANG Xiao-qi(Department of Information Engineering,Xuancheng Vocational and Technical College,Xuancheng 242000,China)
出处
《青岛大学学报（自然科学版）》
CAS
2019年第2期86-94,共9页
Journal of Qingdao University(Natural Science Edition)
基金
安徽省质量工程项目(批准号:2016msgzs080)资助
关键词
教学管理
数据挖掘技术
决策树
关联规则
teaching management
data mining technology
decision tree
association rules
