Research output per year
Research output per year
Research activity per year
Dr Liu Liu (刘柳) is an Assistant Professor in the Department of Educational Studies, Academy of Future Education, Xi'an Jiaotong-Liverpool University (XJTLU). She holds a PhD in Education from Tsinghua University and a Bachelor of Computing with First Class Honours from the National University of Singapore, a dual foundation that places her research at the intersection of computing and education.
Her research examines artificial intelligence in education, with particular attention to how generative AI is reshaping teaching, learning, and assessment. Her work spans the design and implementation of AI-enabled learning tools across diverse disciplinary contexts, faculty development for the integration of generative AI into teaching, and empirical research on how students use large language models and how these technologies influence learning. She has also contributed to projects exploring generative-AI-supported role-play, competency-based education, and professional learning.
Her publications appear in Higher Education Quarterly, Tertiary Education and Management, the SAGE Handbook of Online Higher Education, and E-Education Research (电化教育研究), as well as in the proceedings of international conferences on generative AI in teaching and learning.
Bachelor, Computer Science (Communications and Media), 1st class honours, National University of Singapore
Master, Comparative and Public History, The Chinese University of Hong Kong (CUHK)
PhD, Education, Tsinghua University
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to conference › Paper › peer-review
Research output: Contribution to conference › Paper › peer-review