Dr. Leisi Pei is an Assistant Professor in the Department of Curriculum and Instruction at The Education University of Hong Kong. She earned her B.Sc. in Educational Technology from Beijing Normal University, followed by an M.Phil. in Educational Technology and Learning Sciences from Peking University, and a Ph.D. in Neuroscience for Education from The University of Hong Kong, where she was awarded the prestigious Hong Kong Ph.D. Fellowship.

Dr. Pei’s research focuses on the underlying mechanisms of learning in technology-enhanced environments, particularly within the contexts of technology-enhanced learning, game-based learning, and human-AI interaction. Her research employs a multimodal approach, integrating neurophysiological and behavioral data to investigate how learning occurs in interactive and technology-enhanced settings.

Her research has been published in several top-tier international journals, including Proceedings of the National Academy of Sciences (PNAS), one of the most prestigious and multidisciplinary scientific journals, as well as other leading journals such as NeuroImage, Communications Biology, British Journal of Educational Technology, and Learning and Instruction.

Dr. Pei has successfully secured and led multiple competitive funding initiatives, including an RGC Early Career Scheme (ECS, 2026-2028) and several University/Faculty research grants. She also serves as a Co-I on major projects funded by the UGC Research Matching Grant Scheme and the National Natural Science Foundation of China (NSFC), contributing to the advancement of interdisciplinary research at the intersection of education, neuroscience, and artificial intelligence.

Dr. Pei actively engages in knowledge transfer through invited presentations at leading institutions, facilitating the exchange of cutting-edge research insights. Within the academic community, she demonstrates leadership through roles such as Chair and co-Chair of C1 Sub-Conference (Learning Sciences and Computer-supported Collaborative Learning) at GCCCE 2026 and GCCCE 2025. She also serves as a reviewer for multiple top-tier SSCI/SCI journals, such as Computers & Education, Learning and Instruction, Educational Technology & Society, npj Science of Learning, npj Digital Medicine, and Cognitive Computation.

Her work has been recognized through several awards, including the prestigious HKU Foundation Award for Outstanding Research Postgraduate Students (2024) and the Best Degree Thesis Award in the 6th Empirical Education Research Outcome Competition (2022).