摘要
文章构建了基于大数据分析的高中信息技术教学效果评估体系,涵盖教学前、中、后维度的指标体系。通过运用数据挖掘等技术进行综合数据分析,模拟实验结果表明,关联规则特征提取的准确率高,大数据融合效率表现良好。将该方法应用于四个班级后,学生的成绩与项目表现均有显著提升,从而验证了该方法的优势与实用性。
The paper constructs an evaluation system for the effectiveness of high school information technology teaching based on big data analysis.The system includes an indicator framework that covers pre-,mid-,and post-teaching dimensions.By utilizing data mining and other technologies to integrate and analyze the data,the simulation experiments show high accuracy in association rule feature extraction and good efficiency in big data integration.After applying the system to four classes,significant improvements in both exam scores and project performance are observed,verifying the advantages and practicality of this approach.
作者
杨俊凯
YANG Junkai(Zhangzhou NO.3 Middle School,Zhangzhou Fujian 363000,China)
出处
《信息与电脑》
2025年第9期52-54,共3页
Information & Computer
关键词
大数据分析
高中信息技术
教学效果
big data analysis
high school information technology
teaching effectiveness
作者简介
杨俊凯,男,本科,一级教师。研究方向:高中信息技术、教育技术。
