AI-supported Collaborative Work and Learning

We are sorry to hear the sad news of corona virus spreading rapidly all over the world. However, it takes our sight from another angle that collaborative work/learning are not necessarily to be done in the same place. Teamwork is not a simple block-building like always. 

Our solutions aim at two different learner/user structures, the virtual community with higher flexibility to join and leave and the virtual team which has tighter interpersonnel and a deadline to meet. 

We have proposed a novel model-driven, ready-to-implement approach for smart team learning captures students' learning ability and dynamically assigns students into distinct groups with similar ability at regular time intervals, and combines this information with a Recurrent Neural Network architecture known as Deep Knowledge Tracing.  

Plus, we also provide unique, highly-commended intelligence on automatic moderation and instructor-intervene over massive learners engaged in large-scale scenario, which is commonly found in the operation of mainstream online e-learning systems.