Beijing Advanced Innovation Center for Future Education

Who we are

On-campus Research Team

Shengquan YU, Professor

Dr. Shengquan YU, Professor, Executive Director of AICFE at Beijing Normal University, and Director of the Joint Laboratory for Mobile Learning, Ministry of Education-China Mobile Communications Corporation. He also serves as the Deputy Dean of the Faculty of Education, Beijing Normal University. He was selected into the New Century Excellent Talents Project in 2008. Professor Yu’s research fields include mobile and ubiquitous learning, ICT and curriculum integration, network learning technology, and education informatization policy. He has published more than 180 academic papers, including over 80 CSSCI articles, ten SSCI/SCI/EI articles, four popular science books and three scholarly monographs.

Director of Integrated Application Laboratory

Dr. Ling CHEN is Director of Integrated Application Laboratory at AICFE. She received her Ph.D. in Education Technology from the School of Educational Technology, Beijing Normal University. Her research interests are: 1) Teacher professional development, especially in group development of teachers in virtual communities. Based on research results, she is the director in designing a series of informatization tools, such as Classroom Observation Master and Lesson Plan Master, which support teachers in teaching effectively. 2) Language learning in one-to-one classes conducted using Leaping Development Approach. 3) The design and development of courseware and online courses.

Baoping LI
Deputy Director of Learning Science Laboratory

Dr. Baoping Li is the Deputy Director of Learning Science Laboratory at AICFE. She received her Ph.D. from Beijing Normal University and was senior visiting scholar at Education University of Hong Kong. Her research interests are learning spaces and learning activities under smart learning environment. She directed three national research projects and has published more than 30 papers in Chinese and English. Dr. Li serves as Executive Committee member in Global Chinese Society of Computers in Education (GCSCE), International Program Committee Co-Chair in Global Chinese Conference on Computer in Education (GCCCE), and reviewer for domestic and foreign peer-reviewed journals.

Yu LU, Chief Data Scientist

Dr. Yu LU received the Ph.D. degree in computer engineering from National University of Singapore (NUS). He is currently working as a chief data scientist at AICFE, where he is leading the learning analytics and educational data mining research. Before joining AICFE, he worked as a research scientist at A*STAR Singapore, as well as the project manager/developer at several industrial companies and research labs in Singapore and Europe. He has gained both industrial and academic experiences in data analytics, mobile computing and computer networks. He serves as a program committee member and reviewer for multiple international conferences and journals. He received the outstanding performance award from A*STAR Singapore and the NGS fellowship from NUS Graduate School for Integrative Sciences and Engineering.

Xi YANG, Research Scientist

Dr. Xi YANG is a Research Scientist at AICFE. Currently, her research involves development and evaluation of automated scoring for subjective questions. She is a primary inventor of automated scoring system for subjective questions. Her research interests are natural language processing (automated scoring for subjective questions and evaluation, word embedding, text classification, and information extraction), machine learning, multi-agent systems and complex networks. She received her Ph. D. in the Department of Mechanic and Aerospace Engineering from Peking University. She was a postdoctoral fellow at the Institute of Computing Technology, Chinese Academy of Sciences.

Wei CUI, Junior Researcher

Dr. Wei CUI graduated from the Institute of Psychology, Chinese Academy of Sciences and received Doctor of Philosophy in Psychology. Now, she is working in AICFE as a junior researcher. She is interested in human thinking and reasoning. She hopes to help people to understand themselves and others deeply through psychology research. Nowadays, with the development of the Internet and data analysis technologies, people can access information more conveniently, and find unique rules. But there is still a long way to go to understand the human mind. In AICFE, we use internet technology and big data analysis methods to explore the law of adolescent mental development, and provide advice for young people's personal development and life planning.

Lishan ZHANG, Postdoctoral Fellow

Dr. Lishan ZHANG received his Ph.D degree in Computer Science from Arizona State University in 2015. He joined Beijing Advanced Innovation Center for Future Education in November, 2016. He started his research career in intelligent tutoring systems under the supervision of Prof. Kurt VanLehn since he joined Arizona State University in 2010. He also developed his research interests in educational data mining and game-based learning. He has published four international journal articles and seven conference papers. Now he is a postdoctoral fellow and is in charge of developing a system that can evaluate student problem solving ability via game-based environments.

Wen CHEN, Postdoctoral Fellow

Dr. Wen CHEN received her PhD degree in education from Beijing Normal University in 2017. She started her research career in cognitive neuroscience under the supervision by Prof. Dong Qi and Prof. Wenjing Wang in State Key Laboratory of cognitive Neuroscience and Learning since 2011. And she studied in the Department of Psychology and Social Behavior at the University of California, Irvine, as joint PhD from September 2015 to September 2016. She has published 3 academic articles (SCI) and 3 conference papers. Her interests are human’s cognitive abilities and the plasticity of brain affected by Nature (eg. polymorphisms of genes) or/and Nurture (eg. behavior training, education). In Internet plus era, she is now focusing on the assessment of learning effect regarding to e-learning.