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来源:百度知道 编辑:UC知道 时间:2024/06/21 01:14:56
利用数据挖掘技术对中等职业学校学生管理分析中数据的分析,以及应用ID3算法对不同课程类型的学生成绩进行分析,并通过采用ID3算法提出学生就业培养的方向,在其中找出影响学生成绩的潜在因素,使学生能够较好地保持良好的学习状态,从而为学校的教学部门提供决策支持信息,促使学校更好地开展教学工作,提高中职学校的教学质量。应用粗糙集理论针对我校某教学班级的专业课程成绩进行分析,找出对学生总体成绩影响最重要因素,以便为学科教师改变教学方式和方法、提高专业课程教学质量方面提供依据,该方法还可以推广到对其他教学班各种不同考试科目的成绩进行分析,从而为进一步完善成绩管理提供技术支持。
Counseling for students and teaching quality evaluation and improvement of teaching management in a variety of factors are closely related, is that each of the schools to focus on. On the one hand, how many of the student achievement data to explore the value that can provide effective data, enabling the practical teaching in schools play a guiding role; the other hand, how student feedback questionnaire data finishing, in which to find an effective information to support the training of teaching management and students, regardless of which one aspect, we are also of concern to educators. In response to these reasons, this paper seeks, through research,
The data from a large number of complex hidden in the data to extract useful information among the same time, according to the specific circumstances of the current performance management, emphasizing how the data mining technology and performance management, management analysis of secondary vocational school students combined,