基于数据挖掘的学生画像系统设计与实现
Design and Implementation of Student Portrait System Based on Data Mining
吴伟丰1
作者信息
摘要
阐述数据挖掘技术的理论基础,以面向对象的程序设计课程为对象,构建适合精准教学实施的学生画像系统模型.利用K-means聚类算法划分学生类群,并根据学生的不同特征提供最佳教学方式.
Abstract
This paper describes the theoretical basis of data mining technology,which focuses on object-oriented programming courses and constructs a student portrait system model suitable for precise teaching implementation.It uses the K-means clustering algorithm to divide student groups and provides the best teaching methods based on their different characteristics.
关键词
人工智能/数据挖掘/学生画像/K-means聚类Key words
artificial intelligence/data mining/student profiling/K-means clustering引用本文复制引用
出版年
2024
NETL
NSTL
万方数据