高校课程教学中大数据运用的研究现状及展望——基于CiteSpace的可视化分析  被引量:1

Research Status and Prospect of Big Data Application in College Curriculum Teaching——Visual Analysis Based on CiteSpace

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作  者:王金晓 笪玲[1] WANG Jin-xiao;DA Ling(School of Tourism and Cultural Industry,Guizhou University,Guiyang Guizhou 550025,China)

机构地区:[1]贵州大学旅游与文化产业学院,贵州贵阳550025

出  处:《河北大学成人教育学院学报》2023年第1期92-101,共10页Journal of Adult Education College of Hebei University

基  金:2021年贵州大学高等教育研究重点项目“大数据语境下混合研讨教学模式空间生产研究”(编号:GDGJYJ2021002)。

摘  要:大数据时代的迅猛发展开拓了高校课程教学改革的全新领域,促进了现代高校课程教学实践不断创新发展。以2013-2022年为检索时间,运用CiteSpace软件对中国知网的相关研究期刊论文进行计量分析,结果表明:高校课程教学中大数据运用的研究现状呈现出研究机构较为集中,但机构间的合作较少,研究者之间联系相对密切;研究的内容主要集中在教学模式、教学平台、教学主体、教学领域及教学风险等方面;研究发展趋势呈现出大数据驱动高校课程教学领域不断扩展、课程教学体系逐步构建、课程教学内容走向多维的特征。展望未来,大数据在高校课程教学的研究应用在扩展教学手段和工具创新、变革师生关系、学科分层次适应以及教学伦理建设等方面有着巨大的实践空间。The rapid development of the big data era opens up a new field of curriculum teaching reform in colleges, and promotes the continuous innovation and development of curriculum teaching practice in modern colleges. Taking 2013-2022 as the retrieval time, CiteSpace software is used to conduct quantitative analysis on the papers of relevant research journals of CNKI. The results show that the research status of the application of big data in college curriculum teaching shows that the research institutions are relatively concentrated, but the cooperation between institutions is less, and the researchers are relatively close;The research content mainly focuses on teaching mode, teaching platform, teaching subject, teaching field and teaching risk;The research and development trend shows the characteristics of big data driving the continuous expansion of curriculum teaching field in colleges, the gradual construction of curriculum teaching system and the multi-dimensional trend of curriculum teaching content. Looking forward to the future, the research and application of big data in college curriculum teaching has a huge practical space in expanding the innovation of teaching means and tools, the reform of teacher-student relationship, the hierarchical adaptation of disciplines and the construction of teaching ethics.

关 键 词:大数据 高校课程教学 高等教育 CITESPACE 知识图谱 

分 类 号:G644[文化科学—高等教育学]

 

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