Beijing Advanced Innovation Center for Future Education
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    • Advanced Innovation Center for Future Education of Beijing Normal University

    1. Name
    Advanced  Innovation Center for Future Education of Beijing Normal University
    2. The persons in charge
    Prof. Qi Dong: the President of Beijing Normal University   


    Prof. Li Chen: the Vice President of Beijing Normal University  


    Prof. Shengquan Yu: the Executive Director of Advanced  Innovation Center for Future Education   


    3. Research content and significance
    The core mission of the center is to research and develop a smart education platform for  public service based on big data in an effort to satisfy the needs of teachers and students in  the field of basic education in Beijing by establishing an “educational service supermarket” for teachers and students with a model of educational public service in the era of innovation and mobile internet. The research work of the center will promote the transition of  Beijing Education Public Service  from digitization to intelligence, helping build a new model of public education service model in Beijing (World City) and making the education dream of "No child left behind; individualization; 
    lifelong learning and all talent" come true.

    4. Problems to be solved
    The key issue is to realize the collection of data during learning, the modeling of knowledge and 
    capability structure, the finding and strengthening of subjects’ advantages and the diagnosis and
    improvement of problems during learning for each learner.

    To this end, it is necessary to study the academic ability and  cognitive model and its visualization
    of learners to express individual characteristics and needs; to study the big data based educational 
    and intelligent technology to build a data analysis model on the basis of subjects in an effort to 
    achieve adaptive recommendations according to individual needs; to study Mash-up technology of 
    learning resources and services, in order to achieve a large scale semantic organization of high quality 
    resources, theme convergence and evolutionary generation, and build an inferable and calculable social 
    knowledge space so as to realize the combination of online and offline teaching service; and develop the 
    research mode and methods of integrating intelligent educational service platform into mainstream 
    education business to explore new forms of education business, governance patterns and application solutions

    5. The implementation procedures 
    To achieve the intelligent education service of "learning assistant" at the first stage: to collect the data of 
    learning process, visualize the knowledge structure of learners and make intelligent recommendations for 
    personalized learning, etc.;

    To achieve the intelligent education service of "learning partner" at the second stage: to converge thematic 
    knowledge and achieve semantic structure in the field of basic education so as to answer closed questions 
    and provide emotional support;

    To explore the intelligent education service of "learning supervisor" at the third stage: with an in-depth learning ability, the platform can automatically improve knowledge base to answer open 
    questions and support the growth of wisdom, and diagnose cognitive problems during the learning
    process to provide timely guidance and help.
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