摘要
为了提高师范生信息技术能力,用R语言中Apriori算法对师范生计算机调查问卷进行数据分析,通过数据处理、模型建立与优化、数据分析等过程挖掘调查问卷中项集元素之间的隐藏关联.结果表明,在支持度、置信度、提升度等属性显示中大多数项集元素均与Office办公软件重要性相关联.该结果为师范生计算机课程改革提供借鉴.
In order to improve the information technology ability of normal university students,the Apriori algorithm in R language was used to analyze the data of computer questionnaire survey of normal university students.The hidden associations between the item set elements in the questionnaire were discovered by the data processing,model establishment and optimization,data analysis and other processes.The result shows that most of the item set elements in the display of support degree,confidence degree,and promotion degree and other attributes are associated with the importance of Office software.The result provides reference for the computer curriculum reform of normal university students.
作者
杨超
YANG Chao(Department of Ethnic Culture and Vocational Education,Liaoning National Normal College,Shenyang Liaoning110032)
出处
《辽宁师专学报(自然科学版)》
2021年第3期19-22,共4页
Journal of Liaoning Normal College(Natural Science Edition)
基金
辽宁省教育科学“十三五”规划2020年度立项课题(JG20EB141)
辽宁民族师范高等专科学校2020年校级培育项目(LJJCP01)。
关键词
APRIORI算法
R语言
师范生
调查问卷
隐藏关联
Apriori algorithm
R language
normal university students
questionnaire
hidden association