卢国庆

卢国庆，男，汉族，中共党员，博士研究生学历，西北师范大学教育技术学院副教授，博士生导师，长期从事智能技术理论及实践相关研究工作，研究兴趣包括人工智能教育应用、多模态学习分析、智能学习环境、学习投入和动机，承担《学习科学与技术》《信息化教学》《论文写作指导与专业英语》等课程教学。近年来在国内外高水平学术期刊发表研究论文20余篇，主持参与国家自科、省部级基金项目多项。

【主持项目】

2025年甘肃省教育厅教育数字化专项研究课题《大模型驱动的教育智能体的设计与创新教学应用研究》2026.1-2026.12，主持；

2024年国家自然科学基金地区项目《基于多模态数据的混合学习情境投入分析模型与干预研究》，2025.1至今，主持；

2024年度教育部人文社会科学青年基金项目《基于生成式人工智能的反馈对在线协作学习的影响与优化策略研究》2024.9至今，主持。

【代表论文】

卢国庆,徐秀莲,巴深,等.协作学习中教育智能体的设计策略、角色功能与交互模式[J].电化教育研究,2026,(1):67-74,83.

卢国庆,杨沁,贺相春. 生成式人工智能赋能高等教育形成性评价的价值、挑战及路径[J].电化教育研究,2024,(11):84-91.

卢国庆,刘清堂,谢魁. 情境投入纵向研究的理论、测量及分析方法的发展研究[J].远程教育杂志,2023,41(2):82-94.

卢国庆,刘清堂,张臣文,贺相春. 基于多主体交互的混合学习环境感知与投入分析[J].电化教育研究,2023,44(11):82-89.

卢国庆,谢魁,刘清堂,等. 基于人工智能引擎自动标注的课堂教学行为分析[J].开放教育研究,2021, 27(06):97-107.

卢国庆,刘清堂,郑清,等. 智能教室中环境感知及自我效能感对个体认知投入的影响研究[J].远程教育杂志,2021,39(03):84-93.

卢国庆,谢魁,张文超,等. 面向即时数据采集的经验取样法:应用、价值与展望[J].电化教育研究,2019,40(6):19-26.

Lu, G., Ba, S., & Yang, L. (2025). Optimizing GAI-assisted formative feedback: an experimental study on its effects on engagement, shared metacognition, and learning performance in online collaborative learning. Education and Information Technologies, 30, 25937–25967. (SSCI; 第一作者)

Lu, G., He, X., & Shi, Y. (2025). How social interactions affect remote students’ cognitive engagement in a blended synchronous classroom: mixed evidence from two high schools. Asia Pacific Journal of Education, 1-22.(SSCI; 第一作者)

Yang, Q., Lu, G.*, & Ba, S. (2026). A cross-group comparison study of the influences of basic psychological need satisfactions on digital literacy: the chain mediating role of academic motivation and learning engagement. Education and Information Technologies, 31, 213–239. (SSCI；通讯作者)

Ba, S., Lu, G.*, Mendoza, N. B., Yang, Y., Pan, Z., & Wang, Y. (2025). Leveraging network analytics to examine the impact of generative artificial intelligence-assisted feedback on inquiry-based discussion. Journal of Educational Computing Research, 64(2), 403-438. (SSCI；通讯作者).

Ba, S., Zhan, Y., Huang, L., & Lu, G*. (2025). Investigating the impact of ChatGPT‐assisted feedback on the dynamics and outcomes of online inquiry‐based discussion. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13605(SSCI; 通讯)

Lu, G., & Ba, S. (2025). Exploring the impact of GAI-assisted feedback on pre-service teachers’ situational engagement and performance in inquiry-based online discussion. Educational Psychology, 1–26. https://doi.org/10.1080/01443410.2025.2489784 (SSCI; 第一作者)

Zheng, X., Liu, Q., Yang, S., Lu, G., & Wu, L. (2024). Investigating Teacher Technostress in Technology-Supported Teacher Learning with Person–Environment Fit Theory. The Asia-Pacific Education Researcher, 1-13. https://doi.org/10.1007/s40299-024-00935-1 (SSCI)

Lu, G., Liu, Q., Xie, K., Zhang, C., He, X., & Shi, Y. (2023). Does the Seat Matter? The Influence of Seating Factors and Motivational Factors on Situational Engagement and Satisfaction in the Smart Classroom. Sustainability, 15(23), 16393. https://doi.org/10.3390/su152316393 (SSCI/SCI; 第一作者)

Lu, G., Xie, K., & Liu, Q. (2023). An experience-sampling study of between-and within-individual predictors of emotional engagement in blended learning. Learning and Individual Differences, 107, 102348.https://doi.org/10.1016/j.lindif.2023.102348 (SSCI; 第一作者)

Lu, G., Liu, Q., Xie, K., Long, T., & Zheng, X. (2023). Quality or Quantity: How Do Teachers’ Knowledge and Beliefs Persuade Them to Engage in Technology Integration in a Massive Government-Led Training Programme? The Asia-Pacific Education Researcher, 32(4), 459-471. https://doi.org/10.1007/s40299-022-00668-z (SSCI; 第一作者)

Lu, G., Xie, K., & Liu, Q. (2022). What influences student situational engagement in smart classrooms: Perception of the learning environment and students' motivation. British Journal of Educational Technology, 53(6), 1665-1687. https://doi.org/10.1111/bjet.13204 (SSCI)

【出版专著】

刘清堂,卢国庆,曾祥翊. 同侪研修模式及实践[M], 科学出版社, 2022-11

【指导比赛】

王楷、吴若涵、秦莉、童奕、李元鸽、陈诗茵等作品《心语——基于AI大模型的大学生心理疏导移动应用助手》荣获第十届中国国际大学生创新大赛暨西北师范大学校赛高教主赛道铜奖, 2024.8。