基于文献计量分析的课程思政研究述评与展望
Review and prospect of curricular ideological and political education research based on bibliometric analysis
曾雪琴 1王利文 1李鹏波 1丁川1
作者信息
- 1. 常州工学院 土木建筑工程学院,江苏 常州 213032
- 折叠
摘要
为探析国内课程思政领域的研究发展,以2017-2021年中国知网收录的课程思政相关文献为样本,借助计量学软件CiteSpace提供的知识图谱,对文献特征、热点主题和前沿趋势进行可视化分析.课程思政研究在国内起步较晚,跨机构合作程度低,跨学科对话不足,领域研究主要围绕课程思政的本质内涵、价值意蕴、建设路径、学科实践和评价体系5个主题.从发展趋势上看,智能时代课程思政特色化体系建设和学科应用研究越来越受到关注,构建对标"一流课程"建设要求的课程思政设计理论与方法是该领域的研究重点.未来应在加强跨学科交叉研究的同时,促进课程思政与信息化技术的深度融合.
Abstract
In order to systematically analyze the research development of curricular ideological and political education in China,literatures related to curricular ideological and political education collected by CNKI from 2017 to 2021 are selected as samples,and metrology software CiteSpace is used to analyze the literature characteristics,hotspots and frontier trends.Curriculum ideological and political research started late in China,the degree of inter institutional cooperation is low,and the interdisciplinary research is insufficient.The researches mainly focus on five topics:concept connotation,value implication,construction path,discipline practice and evaluation system.From the perspective of development trend,the characteristic system construction and discipline application research of curricular ideological and political education in the intelligent era has attracted more and more attention,and building curriculum ideological and political design theories and methods that meet the requirements of first-class curriculum construction is the research focus in this field.In the future,inter-disciplinary research should be strengthened,and the deep integration between curricular ideological and political education and information technology should be promoted.
关键词
课程思政/知识图谱/可视化路径Key words
curricular ideological and political education/knowledge map/visual path引用本文复制引用
基金项目
江苏省高校哲学社会科学研究一般项目(2020SJA1245)
江苏省高等学校教育技术研究会高校教育信息化研究重点课题(2021JSETKT001)
常州工学院高等教育改革重点课题(30120300000-KT-010)
常州工学院课程思政示范建设项目(30120300100-jsk-12)
常州工学院高层次人才引进项目(YN18041)
出版年
2024
国家科技期刊平台
NSTL
万方数据