摘要
如何有针对性地提高学生成绩,一直是高校所面临的重大问题。数据挖掘技术的发展,可以有效挖掘学生成绩的相关性信息,使学校更加了解学生,有侧重性地指导学生的学习重点。该文基于聚类算法,分析高校软件专业学生的各科学习成绩,依据挖掘出的信息,将学生进行分类,教学人员可根据各类学生成绩的特点,制定出有针对性的教学策略。
How to improve students'grades in a targeted manner has always been a major problem faced by colleges and universities.The development of data mining technology can effectively mine relevant information about students'grades,and enable universities to better understand students and focus on guiding their learning priorities.This article analyzes the performance of software major students in various subjects in colleges and universities based on the clustering algorithm and classifies students according to mined information,and teaching staff can develop targeted teaching strategies based on the characteristics of various type of students'grades.
作者
展金梅
陈君涛
田飞
ZHAN Jinmei;CHEN Juntao;TIAN Fei(Qiongtai Normal University;Hainan College of Economics and Business,Haikou,Hainan Province,571127 China)
出处
《科技资讯》
2023年第19期202-205,共4页
Science & Technology Information
基金
海南省自然科学基金资助(项目编号:622RC723)
海南省教育厅项目资助(项目编号:Hnky2023-72)。
