大数据分析在中医教学评价中的应用  

The Application of Big Data Analysis in Traditional Chinese Medicine Teaching Evaluation

作　　者：武志娟[1] 唐赛雪[1] 金喻[1] WU Zhijuan;TANG Saixue;JIN Yu(The First Clinical College,Shandong University of Traditional Chinese Medicine,Shandong Province,Jinan 250011,China)

机构地区：[1]山东中医药大学第一临床学院,山东济南250011

出　　处：《中国中医药现代远程教育》2024年第3期186-188,共3页Chinese Medicine Modern Distance Education of China

基　　金：山东中医药大学高等教育发展规划研究课题[No.GJYJY2022234]。

摘　　要：在大数据和数字化转型的大背景下,文章分析、阐述了目前中医教学评价的困难以及如何将大数据技术应用在中医教学评价过程中,总结了大数据在中医教学评价过程中的应用方法。首先需要更加广泛地采集数据,包括静态数据、实时数据、非结构化数据等;然后通过系统化的数据标准体系构建,利用数据处理技术,建立全面的教学评价数据仓库;最后结合教学评价业务目标,构建动态数据分析模型,持续不断地以可视化方式直观输出评价结果,真正帮助教师、学生、教学管理者提高教学评价效率,为教学改革提供支撑。Under the background of big data and digital transformation,this paper analyzed and expounded the current difficulties in TCM teaching evaluation and how to apply big data technology in the process of TCM teaching evaluation,and summarized the applica-tion methods of big data in the process of TCM teaching evaluation.The authors summarized the application method of big data in the TCM teaching evaluation process,first need more extensive data collection,including static data,real-time data,unstructured data,and then through the systematic data standard system,using data processing technology,established a comprehensive teaching evalua-tion data warehouse,combined with teaching evaluation business objectives to build dynamic data analysis model,continuous visual output evaluation results,really help teachers,students,teaching managers to improve teaching evaluation efficiency,in order to pro-vide support for teaching reform.

关 键 词：大数据 教学评价 动态数据 动态分析模型 数据挖掘 可视化 教学改革 

分 类 号：G642.0[文化科学—高等教育学] R-4[文化科学—教育学]