文章详情

题名 · 作者 · 摘要 · 关键词 · DOI · 参考文献

国际高等教育阶段学习投入度研究热点及趋势分析——基于CiteSpace可视化分析

曾令机,唐慎佩

(宁夏大学 教师教育学院,宁夏 银川 750021)

栏目:信息化应用 · 第 2026 年第 12 期 · 页码:117-123 · 2096-4706(2026)12-0117-07 · 中图分类号:TP391 · 文献标识码:A · DOI:10.19850/j.cnki.2096-4706.2026.12.023

摘要

研究通过量化分析2000—2025年国际高等教育领域学习投入度的研究文献,旨在把握该领域国际研究现状、热点与演化趋势,为我国高等教育数字化转型下学习投入度的理论深化、教学实践优化及政策制定提供参考。基于Web of Science核心合集,筛选807篇相关文献,运用文献计量法与CiteSpace可视化软件,从时空分布、研究热点、演化趋势及核心维度展开分析。该领域研究呈波动增长趋势,研究机构以高校为主且深度融合教育技术,热点聚焦认知投入、在线学习等,学习投入度以行为、认知、情感三维为主要框架,测量趋向场景化、研究方法量化与质性多元融合。

关键词

学习投入度;CiteSpace;可视化分析

参考文献

  1. [1] Council of the European Union. Council Resolution on a Strategic Framework for European Cooperation in Education and Training towards the European Education Area and beyond (2021-2030) [R].2021-02-18.
  2. [2] 教育部网站.教育部等五部门关于印发《普通高等教育学科专业设置调整优化改革方案》的通知 [EB/OL].(2023-02-21)[2025-12-19].https://www.gov.cn/zhengce/zhengceku/2023-04/04/content_5750018.htm.
  3. [3] 教育部.教育部等九部门关于加快推进教育数字化的意见 [EB/OL].(2025-04-15)[2025-12-19].http://www.moe.gov.cn/srcsite/A01/s7048/202504/t20250416_1187476.html.
  4. [4] 国务院.国务院关于深入实施“人工智能+”行动的意见 [EB/OL].(2025-08-21)[2025-12-19].https://www.gov.cn/gongbao/2025/issue_12266/202509/content_7039598.html.
  5. [5] Almusaed A,Almssad A,Yitmen I,et al. Enhancing Student Engagement: Harnessing “AIED”'s Power in Hybrid Education—A Review Analysis [J/OL].Education Sciences,2023,13(7):632.https://doi.org/10.3390/educsci13070632.
  6. [6] Heung E M Y,Chiu K T. How ChatGPT Impacts Student Engagement from a Systematic Review and Meta-analysis Study [J/OL].Computers and Education: Artificial Intelligence,2025,8:100361.https://doi.org/10.1016/j.caeai.2025.100361.
  7. [7] Pan X Q,Lin L. Online Presence and Technology-enhanced Language Learning Experience: A Multivariate Relationship of Learning Aspiration, Perceived Authenticity and Learning Engagement [J].Educational Technology Research and Development,2025,73:1179-1203.
  8. [8] Wang C L,Chen X J,Hu Z B,et al. Deconstructing University Learners' Adoption Intention Towards AIGC Technology: A Mixed-Methods Study Using ChatGPT as an Example [J].Journal of Computer Assisted Learning,2025,41(1):e13117.https://doi.org/10.1111/jcal.13117.
  9. [9] Chen Y F,Yau K W,Chai C S,et al. A Pilot Study on the Development and Validation of AI Literacy Test Items for Grade 7 to Grade 9 Students [C]//2024 International Symposium on Educational Technology (ISET),2024:1-6.
  10. [10] Wu C-H,Ho V T. Critical Factors for why ChatGPT Enhances Learning Engagement and Outcomes [J].Education and Information Technologies,2025,30:14415-14445.
  11. [11] Kapuza A,Getman A,Kotlikova A,et al. Predicting Students Engagement in Asynchronous Online Learning: A Mixed-method Approach [J].Educational Technology Research and Development,2025,74:769-791.
  12. [12] Seo K,Dodson S,Harandi N M,et al. Active Learning with Online Video: The Impact of Learning Context on Engagement [J/OL].Computers & Education,2021:104132.https://www.sciencedirect.com/science/article/abs/pii/S0360131521000099?via%3Dihub.
  13. [13] Yin X H,Ye J M,Yu S,et al. The Association between Groups' Interactions with the Visual-GenAI Learning Analytics Feedback and Student Engagement in CSCL [J/OL].Computers & Education,2025:105434.https://www.zhangqiaokeyan.com/journal-foreign-detail/1404138556814.html.
  14. [14] Liu Z,Tang Q H,Ouyang F,et al. Profiling Students' Learning Engagement in MOOC Discussions to Identify Learning Achievement: An Automated Configurational Approach [J/OL].Computers & Education,2024:105109.https://www.sciencedirect.com/science/article/abs/pii/S0360131524001234.

作者简介

曾令机(1996—),男,汉族,广西贵港人,硕士研究生在读,研究方向:学习分析、人工智能赋能教育;唐慎佩(1997—),女,汉族,湖南衡阳人,硕士研究生在读,研究方向:管理心理学。