Publications
* Corresponding author † Those authors contributed equally
Conferences
(Peer-Reviewed Conference Proceedings)
Li, H.*, Zhang, S.*, Lee, S.*, Lee, J.E.*, Zhong, Z., Weitnauer, E., & Botelho, A. F.* (2024, Accepted). Math in Motion: Analyzing real-time student collaboration in computer-supported learning environments. To appear in 17th International Conference on Educational Data Mining (EDM) 2024. [link] [pdf pending]
Li, H.*, Lee, S.*, & Botelho, A. F.* (2024, Accepted). This paper was written with the help of ChatGPT: Exploring the consequences of AI-driven academic writing on scholarly practices. To appear in 17th International Conference on Educational Data Mining (EDM) 2024. [link] [pdf pending]
Zhang, S.*, Li, H.*, Li, H.*, Botelho, A. F.*, & Israel, M.* (2024, Accepted). Investigating the dynamic change of pre- and in-service teachers’ experiences, attitudes, and perceptions through CS autobiography using topic modeling. To appear in 17th International Conference on Educational Data Mining (EDM) 2024. [link] [pdf pending]
Li, H.*, & Botelho, A. F.* (2024, Accepted). Fine-Tuning Large Language Models for Data Augmentation to Detect At-Risk Students in Online Learning Communities. To appear in International Society of the Learning Sciences Annual Meeting (ISLS) 2024. [link] [pdf pending]
Li, H.*†, & Zhao, H†. (2022, June). Applying an online learning platform to enhance students’ online education classroom learning experience during COVID-19. In 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022) (pp. 2837-2842). Atlantis Press. https://doi.org/10.2991/assehr.k.220504.515 [link] [pdf]
Journal Articles
Liu, B., Li, M., Ji, Z., Li, H., & Luo, J.* (2024). Intelligent productivity transformation: Corporate market demand forecasting with the aid of an AI virtual assistant. Journal of Organizational and End User Computing (JOEUC), 36(1), 1–27. https://doi.org/10.4018/JOEUC.336284 [link] [pdf]
Yuan, R., Li, H., Sun, Z.*, & Zhang, H. (2023). Application of graph convolutional network in the construction of knowledge graph for higher mathematics teaching. Sensors and Materials, 35(12), 4269–4269. https://doi.org/10.18494/sam4340 [link] [pdf]
Yuan, L., Li, H., Fu, S., & Zhang, Z.* (2022). Learning behavior evaluation model and teaching strategy innovation by social media network following learning psychology. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.843428 [link] [pdf]
Zhao, D., Li, H., Xu, A., & Song, T.* (2022). Psychological mobilization of innovative teaching methods for students' basic educational curriculum reform under deep learning. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.843493 [link] [pdf]
Wang, M., Shao, Y., Fu, S., Ye, L.*, Li, H.*, & Yang, G. (2022). The influence of college students’ innovation and entrepreneurship intention in the art field of art film and television appreciation by deep learning under entrepreneurial psychology. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.900176 [link] [pdf]
Wang, C., Liu, Q., Li, H., & Liu, Y.* (2022). The path of college students’ entrepreneurship education under causal attribution theory from the perspective of entrepreneurial psychology. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.810615 [link] [pdf]
Wang, Z., Cai, L.*, Chen, Y., Li, H., & Jia, H. (2021). The teaching design methods under educational psychology based on deep learning and artificial intelligence. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.711489 [link] [pdf]
Dissertations and Theses
Master's Thesis, Education, University of Southampton
Li, H. (2023). Post-pandemic reflections: A Literature review of the digital divide in online Learning in the pandemic. Advisor: Dr. John Woollard. [pdf]