医学教育管理 ›› 2019, Vol. 5 ›› Issue (5): 479-484.doi: 10.3969/j.issn.2096-045X.2019.05.020

• 调查研究 • 上一篇    

基于文献计量学的大学生网络在线学习影响因素研究

马楠楠,姜男,孙俐   

  1. 天津医科大学护理学院,天津 300070
  • 收稿日期:2019-06-10 出版日期:2019-10-20 发布日期:2019-12-27
  • 通讯作者: 孙俐
  • 基金资助:
    1. 天津市教委重点调研课题(JWDY-20181014);2. 中华医学会医学教育分会、中国高等教育学会医学教育专业委员会 2018 年医学教育研究立项课题(2018A-N18057);3. 2019 年天津医科大学教育教学研究项目立项(2019ZJ003,2019YY059);4. 天津医科大学护理学院教改课题:信息化环境中翻转课堂教学模式在《护理科研与实践》中的应用研究

Bibliometric analysis of influencing factors of college students’ online learning

Ma Nannan, Jiang Nan, Sun Li   

  1. School of Nursing, Tianjin Medical University, Tianjin 300070, China
  • Received:2019-06-10 Online:2019-10-20 Published:2019-12-27

摘要: 目的 分析影响中国大学生网络在线学习的相关因素并提出可行性的优化策略。方法 以中国知网、万方网、维普网作为数据来源(自建库至 2018-11-01),进行系统跨库检索与中国大学生网络在线学习影响因素有关的文献。采用文献计量学方法和中国知网提供的可视化分析功能对文献进行分析。结果 共纳入文献93 篇,提取出 8 个高频关键词,分别为学习过程、学习成效、学习动机、学习效果、自主学习、在线课程、自我效能感和学习行为;大学生网络在线学习影响因素主要分为内部因素和外部因素两大类,累计出现频次分别为 249 次(52.0%)和 230 次(48.0%)。结论 中国大学生网络在线学习的影响因素是多层面多维度的,应采取综合措施进行多方位学习策略的优化。

Abstract: Objective To analyze the relevant factors affecting online learning of college students in China and propose feasible optimization strategies. Methods CNKI, Wanfang Data, and VIP (self-built database until November 1, 2018) as data sources, a systematic cross-database search was conducted for the literature related to the influencing factors of online learning for college students in China. Results A total of 93 references were included and 8 high-frequency keywords were extracted, including learning process, learning effectiveness, learning motivation, learning effect, independent learning,online course, self-efficacy and learning behavior. The influencing factors of online learning for college students are mainly divided into internal factors and external factors, and the cumulative frequency is 249 times (52.0%) and 230 times (48.0%),respectively. Conclusion The influencing factors of online learning for college students in China are multifaceted and multi-dimensional. Comprehensive measures should be taken to optimize it.