Development And Application Study Of Intelligent Q&A System In Distance Education

With the development of education informatization,distance teaching has become one of the important approaches for various schools to carry out teaching activities,but there are also some problems on it,such as low satisfaction of teaching interaction,and the inability of students to get timely feedback.On the study of intelligent Q&A systems and distance learning interaction theory,the author utilizes natural language processing,django web framework and other technical tools to design and implement an intelligent question answering system for the international Chinese education courses..This system includes five functional models: synchronous system answering,asynchronous teacher answering,standardizing learning resources,visualization of learning data and bidirectional feedback between student and system.The innovations of the system are as follows: First,the system can not only answer real-time questions,but also recommend relevant learning resources and learning partners;Second,the system can answer questions and support students to evaluate the results,which can achieve student-system bidirectional feedback;third,the system can make visualized data analysis according to the student’s question.After applying the system in actual distance teaching,the analysis of student learning data,system feedback data,questionnaire data,etc,shows the system improves students’ online learning participation,academic performance and the interactive quality of distance teaching.Therefore,the intelligent Q&A system in this study can be used as an interactive tool in distance learning to improve learing efficiency for the students.