數據挖掘在學生成績管理中的應用
發(fā)布時間:2018-07-23 18:29
【摘要】:近些年來,我國越來越重視教育的發(fā)展趨勢,也十分注重學生成績的管理工作,其已經成為各類學校學生管理工作不可缺少的一部分。然而,目前我國諸多學校幾乎使用人工管理處理學生的各項成績,該類管理方法無法從眾多的學生成績中獲取更多有效信息。因此,把數據挖掘技術合理地運用到學生成績管理當中,能夠通過雜亂、看似毫無瓜葛的數據順利地找出數據內在的相關聯(lián)系,從而總結出應有的規(guī)律,在某些程度上可以為各類學校改進教學方法提供充分的依據。
[Abstract]:In recent years, more and more attention has been paid to the development trend of education and the management of students' achievement, which has become an indispensable part of student management in all kinds of schools. However, at present, many schools in our country almost use manual management to deal with students' scores, and this kind of management method can not obtain more effective information from many students' scores. Therefore, the reasonable application of data mining technology to the management of students' achievement can find out the internal correlation of the data smoothly through messy, seemingly unrelated data, and thus sum up the law that should be. To some extent, it can provide sufficient basis for all kinds of schools to improve their teaching methods.
【作者單位】: 甘肅農業(yè)職業(yè)技術學院;
【分類號】:G420;TP311.13
本文編號:2140251
[Abstract]:In recent years, more and more attention has been paid to the development trend of education and the management of students' achievement, which has become an indispensable part of student management in all kinds of schools. However, at present, many schools in our country almost use manual management to deal with students' scores, and this kind of management method can not obtain more effective information from many students' scores. Therefore, the reasonable application of data mining technology to the management of students' achievement can find out the internal correlation of the data smoothly through messy, seemingly unrelated data, and thus sum up the law that should be. To some extent, it can provide sufficient basis for all kinds of schools to improve their teaching methods.
【作者單位】: 甘肅農業(yè)職業(yè)技術學院;
【分類號】:G420;TP311.13
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