Research on Intelligent Question Answering Framework of Open Education based on Knowledge Graph

As a new type of adult open education oriented university, the high dropout rate of The Open University of China(OUC) has been puzzling the development of open education. The number of teachers in the Open University is small, the proportion of teachers and students is too low, and it is impossible to give students instant feedback. The main reason why students drop out of school is that online learning is difficult to get timely tutoring. Artificial intelligence provides an effective way to solve the problems in the development of education. The paper explores the use of knowledge graphs, natural language processing and other technologies to build an intelligent question answering system framework in the field of open education, including the construction of an open education knowledge base and intelligent question answering modules. By embedding the intelligent question and answer module into the learning space of OUC, so that learners can obtain timely knowledge in the learning process, it can not only improve learners 'interest in learning, but also promote the construction of a learning society.