Publications
* Corresponding author † Those authors contributed equally
Conference Proceedings
(Peer-Reviewed Conference)
Li, H.*, Fang, Y., Zhang, S., Lee, S., Wang, Y., Trexler, M., & Botelho, A. F.* (2025, Accepted). ARCHED: A human-centered framework for transparent, responsible, and collaborative AI-assisted instructional design. To appear in iRAISE 2025: Innovation and Responsibility for AI-Supported Education at the 39th AAAI Annual Conference on Artificial Intelligence, Philadelphia, PA, USA.
Li, H.*, Zhang, S.*, Lee, S.*, Lee, J.E.*, Zhong, Z.*, Weitnauer, E.*, & Botelho, A. F.* (2024, July). Math in motion: Analyzing real-time student collaboration in computer-supported learning environments. Proceedings of the 17th International Conference on Educational Data Mining (EDM'24), 533--541, Atlanta, GA, USA. https://doi.org/10.5281/zenodo.12729878 [HTML] [bib] [pdf] [detail]
Li, H.*, Lee, S.*, & Botelho, A. F.* (2024, July). This paper was written with the help of ChatGPT: Exploring the consequences of AI-driven academic writing on scholarly practices. Proceedings of the 17th International Conference on Educational Data Mining (EDM'24), 542--550, Atlanta, GA, USA. https://doi.org/10.5281/zenodo.12729880 [HTML] [bib] [pdf] [detail]
Zhang, S.*, Li, H.*, Li, H.*, Botelho, A. F.*, & Israel, M.* (2024, July). Investigating the dynamic change of pre- and in-service teachers’ experiences, attitudes, and perceptions through CS autobiography using topic modeling. Proceedings of the 17th International Conference on Educational Data Mining (EDM'24), 921--926, Atlanta, GA, USA. https://doi.org/10.5281/zenodo.12729999 [HTML] [bib] [pdf]
Li, H.*, & Botelho, A. F.* (2024, July). Developing explainable AI systems to support feedback for students. Proceedings of the 17th International Conference on Educational Data Mining (EDM'24), 998--1002, Atlanta, GA, USA. https://doi.org/10.5281/zenodo.12730029 [HTML] [bib] [pdf] [detail]
Li, H.*, & Botelho, A. F.* (2024, June). Fine-tuning large language models for data augmentation to detect at-risk students in online learning communities. Proceedings of the 17th International Conference on Computer-Supported Collaborative Learning - CSCL 2024 (pp. 441-442). International Society of the Learning Sciences, Buffalo, NY, USA. https://doi.org/10.22318/cscl2024.208036 [pdf] [detail]
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), Chongqing, China. Atlantis Press. https://doi.org/10.2991/assehr.k.220504.515 [pdf]
Conference Presentations
(Less-Strictly Peer Reviewed or Non-Archival)
Rahimi, S.*, Esmaeiligoujar, S.,* Gao, R.*, Celik, D.*, Li, H.*, & Botelho, A. F.* (2025, Accepted). Supporting teachers to prepare for productive failure using an AI-powered algebra problem generator. To appear in the American Educational Research Association (AERA) Annual Meeting 2025, Denver, CO, USA.
Rahimi, S.*, Celik, D.*, Gao, R.*, Esmaeiligoujar, S.*, Li, H.*, & Botelho, A. F.* (2025, Accepted). Using generative AI for automated human-creativity assessment and machine creativity in a sandbox game. To appear in the American Educational Research Association (AERA) Annual Meeting 2025, Denver, CO, USA.
Li, H.*, Zhang, S.*, Lee, S.*, & Botelho, A. F.* (2024, October). AI-enabled chatbots in educational practice: A systematic review from 2017 to 2023. To appear in the Association for Educational Communications and Technology (AECT) International Convention 2024, Kansas City, MO, USA. [link] [detail]
Journal Articles
Wang, H., Song, C.*, & Li, H. (2024). Application of social media communication for museum based on the deep mediatization and artificial intelligence. Scientific Reports, 14(1), 28661. https://doi.org/10.1038/s41598-024-80378-2 [pdf]
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). https://doi.org/10.4018/JOEUC.336284 [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 [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 [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 [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. https://doi.org/10.35542/osf.io/qug4h [pdf]