Design And Implementation Of Learner-centered System Of Remote Intelligent Answer Question

With the rapid development of Internet technology and network information technology comprehensive popularization,distance education on the basis of information technology has also been growing concern and attention.An important part of education in the remote network is answering questions,it is directly related to the network of distance education quality is good or bad.In the distance education activities,the learner is at the center.There are currently many institutes in the world in order to solve the difficult problems of students,effectively improve the quality of distance learning,we are trying to design and development of intelligent answering system.However,the current study of intelligent question answering too one-sided pursuit of its technical indicators,while ignoring the relevant education system for teaching the theory of the development of guidance and theoretical support,so that learners in the application of question answering system can not be fully involved,there is no shows the central position of the learners in distance.At the same time,many of the current question answering system due to the involved answering knowledge scope too wide and scattered,the students will have a feeling of looking for a needle in a haystack in the use,produce a sense of Trek.If we want to enable intelligent question answering system to provide learners effective learning support,enable it to meet the learner-centered features,you need to learn the laws of the corresponding network learner analysis and summary,with a variety of learning theory the advantage,as a theoretical basis to design and develop a practical and has a good performance intelligent answering system.Based on this.In this paper,the research on the present situation of the domestic and foreign intelligent question answering system,analysis of the intelligent question answering system's basic educational theory,inspired by the fifth generation of distance education mode,established in conjunction humanism,constructivism and collaborative learning system models and work processes,and discusses how to collaborate,how to set up incentives equality,supportive atmosphere to strengthen the central role of the learner.By increasing the professional courses Keywords word dictionary database to make up for the shortage of Chinese word segmentation,effectively improve the accuracy of segmentation in the field of curriculum knowledge base,knowledge base by keyword feature of the method and meaning from the matching similarity calculation method,application section rapid positioning technology and a combination of methods based on keyword indexing allows the system to give answers to questions quickly,thus enabling the system to achieve timely and effective solution to the questions of students in learning,can stimulate students' interest in learning,promote the construction of knowledge,improve their ability to learn.This paper first describes the background and significance of intelligent answering system,based on a comparison of existing answering system,basic education learning theory knowledge and key technologies involved in intelligent answering system is analyzed,and in accordance with the relevant theory of design the system model and the work fllow,has been established based on the course of computer network knowledge base,and gives the learner as the center of intelligent question answering system integrity of the system structure and architecture development model.At last,it explains the realization method of intelligent question answering system.