The Design And Development Of Adaptive Test System Based On Knowledge Structure

In the education domain,how to diagnose the situation of mastering the knowledge of the student's ability accurately and efficiently according test is a spot of study.According to measurement theory,the accuracy of demand to test is higher and higher,the traditional pencil-paper test cannot meet the people's demands,there is badly in need of reform and innovation in the form of test,at the same time,under the background of the popularization of the network,prompting a new test form,the online examination.However,with the development of The Times,people pay more and more attention to the efficiency of test,the test of pure network focuses only on test scores,not do any cognitive structure,this is far cannot meet the requirements of people of modern test,so be badly in need of a new type of test.The generation of modern measurement theory,make the test form to change again,adaptive test coming into being.Adaptive test,not only can get scores of students,and make it possible to fast test students' ability in real level.Through the analysis of at home and abroad related research on adaptive test,we find that the current research mainly divided into two types,adaptive test based on IRT or KST adaptive test,the difference is they are based on different theoretical basis.They have their respective theoretical foundation,the use of different test methods of intelligent test.The adaptive test based on IRT can measure real performance of subjects,but ignore the cognitive subjects.The adaptive test Based on KST can quickly examine students the ability level and cognitive structure of the test at the same time.But in the research of adaptive test based on KST,we found that they are exist many problems,such as lack of intelligence,the simple diagnosis result,which needs further research and improvement.In order to solve the problems which exist in the adaptive test systems,the topic search many article,combined the traditional dichotomy of subject and knowledge state borders,formed the dual filter personalized intelligent choice method,using the method of this topic,we devote ourselves to research and develop a better adaptive test system to meet learners' learning demand.The topic pays more attention to the test process of the adaptive network.First of all,for neglected the initial questions,this topic analyzes its importance,and then puts forward the choice methods;Then,in view of the personalized intelligent choice test questions,this topic proposed dual filter personalized way of topic selection,to improve the original way of topic selection,improve personalized coefficient and test speed;Again,with the common situation of test always contains errors,this topic given great attention,recently compatible with the concept of knowledge state set are given,and with the method of probability,unreasonable for the rationalization of transfer of knowledge state,maximum "strips" output level;Finally,this topic in view of the above proposed improved test method was designed and implemented an adaptability test system,and combining with chapter knowledge to show an application example.Through the application instance,found that the adaptive system designed by this topic,can rapidly and accurately measure the student's true level and cognitive structure,greatly improve the test efficiency.