Role of Data Mining in Education Sector

Sunil Mp, Gernel S. Lumacad
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引用次数: 1

Abstract

Abstract : Data mining is a method used for categorizing and predicting the performance of a student and a teacher as well. It helps both student and teacher in developing the teaching method and the entire system. Every student who uses this method get a huge favor from this. This helps students to choose the right career option. Currently, the tendency of providing immense importance to data mining techniques in the educational sector is increasing as these procedures have a huge necessity in bringing efficiency in both learning and teaching procedures. Each and every person is gathering a large amount of data every day, in case these data are not further examined; only the large amount of data will remain. With the latest systems and technologies, people can utilise these data and examine those and benefit from it. The best technique for this issue is the data mining process. Data mining is a method of bringing out the useful and disclosed data and information from big data sets. Educational data mining is a process from which teachers and students get a lot of help. Teachers are able to observe every student’s performance. On the other hand, students can choose a perfect and accurate career option by this process. This process utilises several techniques and methods such as statistics, machine learning, data analysis and data mining. Educational data mining is a method of raw information converting from a huge educational database to meaningful and effective information.
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数据挖掘在教育领域的作用
摘要:数据挖掘是一种对学生和教师的表现进行分类和预测的方法。它有助于学生和教师发展教学方法和整个系统。每个使用这种方法的学生都从中得到了巨大的帮助。这有助于学生选择正确的职业选择。目前,数据挖掘技术在教育领域的重要性日益增加,因为这些过程在提高学习和教学过程的效率方面具有巨大的必要性。每个人每天都在收集大量的数据,以防这些数据不被进一步检查;只会保留大量的数据。有了最新的系统和技术,人们可以利用这些数据,检查这些数据并从中受益。解决这个问题的最佳技术是数据挖掘过程。数据挖掘是从大数据集中挖掘出有用的、公开的数据和信息的方法。教育数据挖掘是一个教师和学生从中得到很多帮助的过程。老师能够观察到每个学生的表现。另一方面,通过这个过程,学生可以选择一个完美而准确的职业选择。这个过程利用了几种技术和方法,如统计学、机器学习、数据分析和数据挖掘。教育数据挖掘是将庞大的教育数据库中的原始信息转化为有意义的有效信息的一种方法。
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