Design And Implementation Of Intelligent Tutoring System

With the rapid popularization of the Internet and the increasing computer technology,the proportion of people in the field of education is increasing.The network teaching based on network and multimedia technology is becoming a new way of education.In order to better meet the real situation of teachers and students teaching,with intelligence,personalized intelligent teaching system is one of the current focus of network teaching research.The student model is the core component of the intelligent teaching system,which can reflect the students' learning situation accurately and realistically,so that the system can adjust the learning content and knowledge representation according to the students' needs and preferences,and provide students with highly personalized and intelligent learning Experience.This paper aims to study the modeling method of student model in intelligent teaching system.The main contents of this paper are as follows:(1)Analyze the student information and student's behavior information recorded in the intelligent teaching system,design and realize the student learning interest sub-model LIFSM,student learning style sub-model LSFSM,student cognitive ability sub-model Co FSM and student knowledge master sub-model KMFSM;and proposes a personalized cognitive student model PCo SM including four sub-models of LIFSM,LSFSM,Co FSM and KMFSM;and discuss the application of personalized cognitive student model PCo SM in intelligent teaching system.(2)the general learning test are subjective set of questions dry answer,and then the title of the answer,are based on a specific test questions.However,the knowledge of English subjects has a certain degree of particularity,the use of untitled library automatically solve the problem can effectively improve efficiency,because such knowledge points with a brief,strong and other characteristics,the use of the system automatically generate the problem not only has a certain scientific and efficient province Therefore,this paper will design and implement a randomized algorithm based on unitized knowledge domain.At the same time,combining with the authority of a specific expert question bank,we design and implement the test algorithm of fusion expert and self-built question bank.The algorithm is both authoritative and authoritative.There is a small range of high efficiency.(3)Design and implement a Web-based intelligent teaching system eng Tutor,which combines the characteristics of English language learning,using PCo SM to model students,simulate the learning process of classroom teaching,and have a variety of learning resources.Using the expert exam and self-built question bank for students to study and test,to the system for students to provide the basis for the next step.The intelligent teaching system can improve the efficiency and effect of the students 'English education and learning through the practical application of two months,and can improve the teachers' individualized and intelligent education level,which has certain promotion value.