LIU Yu
	Lecturer

Dr. Liu Yu serves as a Lecturer in the School of Humanities and Social Sciences, University of Science and Technology Beijing. She was a postdoctoral researcher in the Lab of Learning Sciences, Graduate School of Education, Peking University during 2023–2026. Dr. Liu Yu received a Doctor of Philosophy (PhD) in Education from The Chinese University of Hong Kong. Her primary research encompasses AI for Education, Teacher Education, and Learning Sciences. Dr. Liu Yu has led and participated in multiple key social science research projects in Beijing and projects funded by the Hong Kong Government Research Fund. She has been awarded the title of "Tin Ka Ping Young Scholar in Teacher Education Research." She is one of the compilers of the Peking University DeepSeek User Manual, and a main developer and lecturer of the "Peking University Generative Artificial Intelligence and Teacher Development Training Program" series courses.

· Artificial Intelligence in Education

· Learning Sciences

· Teacher Education

· Family and Community Engagement in Education

刘誉. 人工智能开启语言学习新面貌.光明日报.2025-02-23.

刘誉. 教师为何要做研究？比较视野下“教师作为研究者”的价值定位探析. 比较教育研究. 2025(2):65-74. (CSSCI）.

刘誉,戴子涵,尚俊杰.教师使用生成式人工智能的现象学阐释.苏州大学学报(教育科学版.2025(1):35-45.(CSSCI）

刘誉,张鹏,尚俊杰. 基于德尔菲法的教师学习科学素养框架构建. 现代教育技术. 2025(4)：91-101.(CSSCI)

尚俊杰,何奕霖,刘誉（通讯）.生成式人工智能赋能教师发展的价值与途径[J/OL].广西师范大学学报(哲学社会科学版),2025(06):1-14.（CSSCI扩展）

张鹏,刘誉（通讯）,尚俊杰.教师学习科学素养自评工具的开发与应用[J]. 课程·教材·教法，2026，46（10）：131–140.（CSSCI）

尚俊杰,张鹏,刘誉.教师学习科学素养:概念内涵、理论框架与提升策略.电化教育研究,2024,45(08):87-96.(CSSCI）

马艳辉,刘誉,郭艳楠,等.学习科学视域下的教学设计与课堂实践.中国基础教育,2024,(07):67-69.

刘姝君,刘誉,王晨阳.以拔尖创新人才培养为导向的小学数学跨学科游戏化教学设计[J].湖北教育(教育教学),2025,(04):12-13.

程凤春,刘誉,王保军.Z中学的“体验教育”实践，中国专业学位教学案例中心，案例编号：201804510073.

Liu, Y & Shang J. (2025). Charting Diverse Pathways to Teacher Empowerment Through AI: A Multi-Case Study in Chinese K-12 Education. International Journal of Chinese Education. (Planned to be published in Dec, 2025)

Liu,Yu. The Influence of Participating in Educational Research on Teaching Expertise Development. Paper for oral presentation. ICLT. Hong Kong, 2020.

Lixiang Gao, Yu Liu, Olga Chernikova, Hanyu Su, Zhuo Li, Kejie Shen, Junjie Shang and Frank Fischer. Teacher–GenAI Collaboration to Co-Design Lesson Plans: Theoretical Framework and Usability Study. International Society of the Learning Sciences 2025.

Zhang, P., Liu, Y., & Shang, J. Developing and applying a framework for teachers’ learning sciences literacy: Conceptualization, instrument development, and empirical insights from a nationwide survey in China[C]. International Society of the Learning Sciences Annual Meeting, 2026

Key Contributions & Research Projects

• Directed a Beijing Municipal Educational Science Planning Youth Project: "A Study on the Readiness and Application Cases of Generative AI among Teachers in Beijing" (Municipal-level grant).

• Executed a Beijing Social Science Fund Key Project: "Research on Generative AI and Teacher Development" (Municipal-level grant).

• Co-developed (as Primary Contributor) a Haidian District Group Project: "Early Identification, Learning Mechanisms, and Cultivation Models for Innovative Talents in Primary and Secondary Education".

• Co-developed (as Primary Contributor) a Haidian District Group Project: "Research on Application Scenarios of Artificial Intelligence in Basic Education".

• Contributed to a Hong Kong Government Research Grant: "Professional Needs and Learning of Part-time History Teachers in Hong Kong" (Hong Kong Government grant).

• Led the product development of the "New Happy Education" large language model (NHE-GPT, http://www.nhegpt.cn), employing strategies such as refined prompt engineering, model architecture optimization, and dynamic feedback with iterative refinement to achieve a transition from general-purpose to specialized capabilities.

• Co-authored the "Peking University DeepSeek Handbook Series," which garnered over 100,000 online reads within three days of publication.

• Designed and delivered the "Peking University Generative AI and Teacher Development" seminar series. Has conducted training on AI in education for diverse audiences, including faculty and students from Tsinghua University, Peking University, Peking University Health Science Center, Beijing Normal University, doctoral students from the University of Manchester, and K-12 teachers nationwide through the National Center for Educational Technology. Has trained over ten thousand participants (in-person and online).