摘要
以2013—2022年CSSCI期刊中与大数据教学改革的相关文献为数据来源,借助VOSviewer和CiteSpace知识图谱软件,对大数据驱动下教学改革研究论文的时间特征、学科与机构分布进行统计分析,揭示该领域作者发文量、高被引作者和作者合作情况,并通过聚类分析、中心性分析和关键词突现分析可视化地展现大数据驱动下教学改革研究主题、热点及演变趋势,以期为大数据教学改革实践与理论研究提供参考。
Taking CSSCI papers of college teaching reform research driven by big data from 2013 to 2022 as samples,and using VOSviewer and CiteSpace as the tools to analyze temporal characteristics,disciplinary and institutional distribution of research,the paper showed the number of published papers,highly cited authors and author cooperation in this field.Moreover,the topics,hotspots and trends of teaching reform research driven by big data were visualized by clustering analysis,centrality analysis,and burst word analysis,which provide reference for practice teaching reform and theoretical research.
作者
陈明红
韩静
杨欣雨
李志寰
吴依萌
连晓丽
CHEN Minghong;HAN Jing;YANG Xinyu;LI Zhihuan;WU Yimeng;LIAN Xiaoli(School of Information Management,Sun Yat-Sen University,Guangzhou 510006,Guangdong,China)
出处
《资源信息与工程》
2023年第5期115-121,共7页
Resource Information and Engineering
基金
2019年广东省教改项目
中山大学本科教学改革研究项目。
