XU Jiaqi
	Master's Student

Dr. Jiaqi Xu is a Boya Postdoctoral Fellow at Peking University. He received his Ph.D. in Educational Technology from Zhejiang University and was also a visiting Ph.D. student at University College London through the China Scholarship Council program. His research has focused on the application of artificial intelligence in education, learning sciences and instructional media design. His current work focuses on analyzing learners’ cognitive states and behaviors in multi-agent learning environments through multimodal data. He has published more than ten papers in SSCI and CSSCI journals. He has served as the principal investigator or a core member on several projects, including the Zhejiang University Academic Rising Star program, the China Association for Science and Technology’s Graduate Science, National Natural Science Foundation of China and the Ministry of Science and Technology’s “AI 2030 – New Generation Artificial Intelligence” initiative.

Xu, J., Gauthier, A., Liu, Q., Wu, S., Wu, T., Ji, S., & Zhai, X. (2025). Towards sustainable digital learning environments: unmasking the impact of media presentation on adolescents’ visual health. Interactive Learning Environments, 1–17. https://doi.org/10.1080/10494820.2025.2488987.

Xu, J., Zhai, X., Chen, N.-S., Ghani, U., Istenic, A., & Xin, J. (2025). Integrating AI-Driven Wearable Metaverse Technologies into Ubiquitous Blended Learning: A Framework Based on Embodied Interaction and Multi-Agent Collaboration. Education Sciences, 15(7), 900. https://doi.org/10.3390/educsci15070900

Zhai, X., Xu, J., Chen, N.-S., Shen, J., Li, Y., Wang, Y., Chu, X., & Zhu, Y. (2022). The Syncretic Effect of Dual-Source Data on Affective Computing in Online Learning Contexts: A Perspective From Convolutional Neural Network With Attention Mechanism. Journal of Educational Computing Research, 61(2), 466-493. https://doi.org/10.1177/07356331221115663

Xu, J., Liu, Q., & Zhai, X. (2024, July). Promoting Visual Health and Inclusive Education in Metaverse Learning Environments. In International Conference on Artificial Intelligence in Education (pp. 348-354). Cham: Springer Nature Switzerland.

翟雪松,许家奇,陈鑫源,等.文本呈现方式对视觉舒适度的影响——基于人工智能与脑电协同的分析[J].开放教育研究,2023,29(01):70-80.

翟雪松,许家奇,童兆平,等.人工智能赋能高校韧性教学生态的路径研究[J].中国远程教育,2023,43(01):49-58.

翟雪松,许家奇,王永固.在线教育中的学习情感计算研究——基于多源数据融合视角[J].华东师范大学学报(教育科学版),2022,40(09):32-44.

王永固,张晨焘,许家奇,等.基于深度学习的孤独症儿童学习情绪智能感知[J].现代教育技术,2021,31(07):105-111.

王永固,许家奇,丁继红.教育4.0全球框架：未来学校教育与模式转变——世界经济论坛《未来学校：为第四次工业革命定义新的教育模式》之报告解读[J].远程教育杂志,2020,38(03):3-14.