Performance Analysis and Prediction Student Performance to build effective student Using Data Mining Techniques

S. Aziz, A. H. Awlla
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引用次数: 3

Abstract

In this period of computerization, schooling has additionally remodeled itself and is not restrained to old lecture technique. The everyday quest is on to discover better approaches to make it more successful and productive for students. These days, masses of data are gathered in educational databases, however it stays unutilized. To be able to get required advantages from such major information, effective tools are required. Data mining is a developing capable tool for examination and expectation. It is effectively applied in the field of fraud detection, marketing, promoting, forecast and loan assessment. However, it is in incipient stage in the area of education. In this paper, data mining techniques have been applied to construct a classification model to predict the performance of students.
运用数据挖掘技术进行学生表现分析与预测,培养高效的学生
在这个计算机化的时代,学校教育也进行了自我改造,不再局限于传统的授课方式。每天都在探索更好的方法,让学生们更成功、更有成效。如今,大量的数据被收集到教育数据库中,但这些数据却没有得到利用。为了能够从这些重要信息中获得所需的优势,需要有效的工具。数据挖掘是一种不断发展的用于检查和期望的工具。它有效地应用于欺诈检测、营销、促销、预测和贷款评估等领域。然而,它在教育领域还处于起步阶段。在本文中,数据挖掘技术已被应用于构建一个分类模型来预测学生的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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12 weeks
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