数据挖掘技术在中职教学管理中的应用研究

发布时间：2018-11-29 13:44

【摘要】：中等职业教育承担着培养技术蓝领的重任。随着信息技术的迅猛发展,大多数中等职业学校都在建设信息化校园,使用了电子教务系统,教师可以很方便地对学生成绩进行管理。但现有中职学校教务系统对学生成绩的管理大多只停留在简单的增、删、改、查,没有对学生成绩进行深层次分析,因而,不能有效识别和利用学生成绩中蕴含的有用信息和知识科学指导教学工作。针对目前中职教学管理系统中存在的上述不足,把数据挖掘技术应用到中职生教学数据分析中,对东莞理工学校鹏达教务系统中学生成绩数据进行了挖掘分析。本文工作主要包括:(1)运用Microsoft Sql Server BI商业智能平台的决策树算法分析学生每个学期学习成绩对毕业状态的影响,构建了一个学生学习成绩预警模型,根据每个学生每学期不及格课程的数量分程度向学生发出预警信息;(2)运用Microsoft Sql Server BI商业智能平台的关联规则算法分析每个学期课程与课程之间的联系,找出强关联规则,为教育管理者提供有价值的决策支持信息。(3)探索了数据挖掘结果在中职学校教学管理中的应用方法。
[Abstract]:Secondary vocational education is shouldering the important task of cultivating technical blue collar. With the rapid development of information technology, most secondary vocational schools are building information campus, the use of electronic educational administration system, teachers can easily manage the results of students. However, most of the existing educational administration systems of secondary vocational schools only focus on simply increasing, deleting, modifying and checking students' achievements, so they do not carry out a deep analysis of students' achievements. It can not effectively identify and use the useful information and knowledge contained in the students' achievement to guide the teaching work. In view of the above deficiencies in the current secondary vocational school teaching management system, the data mining technology is applied to the analysis of the secondary vocational school students' teaching data, and the data mining of the students' achievement in the Pengda educational administration system of Dongguan Polytechnic School is analyzed. The main work of this paper is as follows: (1) using the decision tree algorithm of Microsoft Sql Server BI business intelligence platform to analyze the influence of students' academic achievement on graduation status, a pre-warning model of students' academic achievement is constructed. An early warning message is sent to each student based on the number of failing courses per semester; (2) using the association rules algorithm of Microsoft Sql Server BI business intelligence platform to analyze the relationship between each semester course and course, and find out the strong association rules. It provides valuable decision support information for education managers. (3) the application of data mining results in secondary vocational school teaching management is explored.
【学位授予单位】：广东技术师范学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G717.3;TP311.13

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