Research And Application Of Computer Assisted Instruction System Based On Data Mining

With the development of modern information technology and education, teaching the concept of progress, the computer aided teaching system (COMPUTER ASSISTED INSTRUCTION CAI) has been paid more and more attention。Use of computer aided teaching system, can be carried out online learning, online testing, online counseling, which greatly improved the people knowledge acquisition, exchange efficiency。Data mining is a broad interdisciplinary subject, related to database, artificial intelligence, mathematical statistics, visualization, parallel computing field.Through data mining, can be extracted from the database of interesting knowledge, such as high-level information law。As a result of the traditional CAI in the application process is not perfect, there are some defects, which enables CAI to the intelligent, personalized direction voice rising, leading to a variety of new technologies have been applied to CAI.Through the data mining technology in large data problem and law, to enhance the CAI intelligence, will help to better guide the teaching, improve students’ learning methods, improve students’ learning efficiency。The main research content of this thesis is to apply data mining technology applied to CAI, improve the learning system intelligence, providing learners with a personalized characteristic learning platform.This paper introduces the data mining association rules in Apriori algorithm and classification technology, using Apriod algorithm of association rules mining in a certain text content test scores of other outstanding chapter content result influence; and using the decision tree classification algorithm of decision tree generation, analysis of student achievement is outstanding and relevant factors, so as to find out the impact on student learning the key link, help improve the academic performance of students。The system is a set of exercises, learning, exam and teaching evaluation in the comprehensive system.System using self-built dictionaries of Chinese word segmentation in text information extraction system database the knowledge points, knowledge point information through practice, examination, evaluation of teaching effect etc, at the same time, system using complete frequent FP. tree algorithm for knowledge and test scores, the relationship among knowledge, the relationship between teachers and students results the relationship between the correlation analysis, draw focus, knowledge point, partial order relation between teachers’ teaching quality and results.Finally, the system according to the practitioners exercise results provide corresponding learning materials to achieve personalized learning。...