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.
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.
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 received the Ph.D. degree from the National University of Singapore in computer engineering. He is currently an Associate Professor with the Faculty of Education, Beijing Normal University (BNU), where he also serves as the director of the artificial intelligence (AI) lab. He has published more than 30 academic papers in the prestigious journals and conferences (e.g., IEEE TKDE, TMC, ICDM, AIED, CIKM, EDBT, etc.), and serves as the PC member for multiple conferences in the domain of educational technology, such as International Conference on Artificial Intelligence in Education (AIED). Before joining BNU, he was a research scientist and principle investigator at the data analytics department of institute for Infocomm research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. His current research interests include AI in education, educational data mining and pervasive computing.
Dr. Yue YIN is a Research Scientist at AICFE. She graduated from the Institute of Psychology, Chinese Academy of Sciences and received her Ph.D. in Psychology. Her research focused on psychology personal inventory, which evaluate human behavior by different assessments. She is interested in the potential factors of student learning and understanding and developing themselves through psychology research. As a new member of AICFE, her currently work is using big data analysis as an approach to explore the adolescent study ability and mental development.
Dr. Wen CHEN received her Ph.D. 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 in 2011. And she studied in the Department of Psychology and Social Behavior at the University of California, Irvine, as joint Ph.D. 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.
Dr. Chen Penghe received his Ph.D degree in Computer Science from National University of Singapore. He is currently working as a big data researcher at AICFE, taking charge of the educational knowledge graph project. Before joining AICFE, he was in the data mining team of Advanced Digital Sciences Center (Illinois at Singapore), working on big data system and text/graph mining. His research interests include machine learning, probabilistic graphical models, natural language processing, data mining and big data system.
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.
Dr. Liu received her Ph.D. in the Graduate School of Education from Peking University in 2017.Under the supervision of Professor Jian KANG, the research she has done are mainly about the fundamental principles of education and the meaning of being public for modern education. And to conceptualize the process of education modernization within the framework of publicness is still the key subject guiding her research work now. From August, 2012 to August 2013, Liu went to the Oriento Institute for Studies in Education in University of Toronto as a joint Ph.D. candidate with the supervision of Professor Ruth Hayhoe. Dr. Liu has published 2 papers indexed in the Chinese core journals.
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.