Dr. Shengquan YU, Professor, Executive Director of Advanced Innovation Center for Future 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.
Dr. Ling CHEN is Director of Integrated Application Laboratory at AICFE. She received her Ph.D. in Education Technology from 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, directs and designs 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 class that conducted by Leaping Development Approach. 3) The design and development of courseware and online course.
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 space and learning activities under smart learning environment. She directed three national research projects and 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.
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 Internet and data analysis technologies, people could access information more conveniently, and find some magic rules. But there is still a long way to go to understand 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.
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.
Dr. Xi YANG is a Research Scientist at Beijing Advanced Innovation Center for Future Education. Currently, her research involves development and evaluation of automated scoring for subjective questions, and 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 post-doctor at Institute of Computing Technology, Chinese Academy of Sciences.
Dr. Yang CHEN is currently a junior researcher at AICFE. Her research interests lie in educational data mining, learning analytics, learner modeling and adaptation. She received her Ph.D. degree in Computer Science from the Université Pierre et Marie Curie - Paris 6 in September 2015. She was advised by Prof. Jean-Marc Labat and Dr. Pierre-Henri Wuillemin. Her Ph.D. study focused on data-driven learner models and techniques of extracting skill structures from student performance data. Prior to that, she got her M.S. and B.S. degrees in Observation & Control Engineering and Instrumentation from Xidian University in Xi’an.
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 by 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 4 international journal articles and 7 conference papers. Now he is a postdoctoral fellow and in charge of developing a system that can evaluate student problem solving ability via game-based environments.
Yi Zheng is currently a research scientist in the AICFE. She received her PhD in biomedical engineering from University of Connecticut, Storrs, US. She worked at Binaural Hearing and Speech Lab, University of Wisconsin-Madison, US and Laboratory of System Perception, Ecole Normale Superieure, Paris, France. Her research focused on the ability of humans to function in complex auditory environments. In particular, she studied the auditory development in children with normal hearing, as well as individuals with impaired hearing. As a new member of Learning Science Laboratory, Yi’s current research interests primarily revolve around understanding the connection of education and cognitive neuroscience and finding ways to personalize the educational experiences for different learners.