摘要
为厘清我国体育舞蹈研究的现状、热点和趋势,本文运用CiteSpace知识图谱可视化软件分析工具,对CNKI数据库1989—2023年我国体育舞蹈领域内的4063篇文献进行可视化分析。结果显示:(1)我国体育舞蹈发文量总体呈下降趋势;(2)作者以小团队合作为主,未形成大规模紧密合作网络;(3)发文机构主要以体育类院校为主,机构合作网络较为松散;(4)体育舞蹈领域研究主要集中在高校体育舞蹈教学、大学生发展的影响因素以及高校体育舞蹈发展现状与价值等三大方面。基于此,本文认为未来体育舞蹈领域研究应侧重在舞蹈教学、中国元素、高校体育、体能训练、应用及教学模式等方面,并提出以下建议:增强学术意识、提高科研能力;加强交流合作、提高研究质量;把握前沿热点、引领未来发展。
This study aims to provide a comprehensive analysis of the current status,hotspots,and trends in international standard ballroom dances research in China.Using CiteSpace knowledge graph visualization software,a visualization analysis was conducted on 4,063 articles from the CNKI database,spanning the years 1989 to 2023.The findings indicate that:(1)The overall number of publications on international standard ballroom dances in China has been declining;(2)Authors predominantly collaborate in small teams,without the formation of large-scale cooperation networks;(3)Sports colleges and universities are the main publishing institutions,with relatively loose institutional cooperation networks;(4)Research in international standard ballroom dances primarily focuses on three areas:university-level international standard ballroom dances teaching,factors influencing the development of college students,and the current status and value of international standard ballroom dances in universities.Based on these findings,this study proposes future research directions in international standard ballroom dances,such as dance teaching,incorporation of Chinese elements,university sports,physical training,applications,and teaching models.Recommendations are made to enhance academic awareness and research capabilities,strengthen communication and collaboration,improve research quality,and stay abreast of frontier hotspots to guide future development.
作者
代春玲
褚雅
肖艳征
Dai Chunling;Chu Ya;Xiao Yanzheng(School of Physical Education,Hubei University,Wuhan 430062,China)
出处
《体育科技文献通报》
2024年第6期265-269,共5页
Bulletin of Sport Science & Technology
关键词
体育舞蹈
CiteSpace软件
知识图谱
可视化分析
international standard ballroom dances
CiteSpace software
knowledge graph
visualization analysis