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Research on Item Response Theory Based Computerized Adaptive Testing System

Author: QuanMinMing
Tutor: WangDong
School: Shanghai Jiaotong University
Course: Software Engineering
Keywords: Item Response Theory Computer Adaptive Testing
CLC: TP311.52
Type: Master's thesis
Year: 2010
Downloads: 164
Quote: 0
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Abstract


Computer adaptive test has many advantages: the traditional pen and paper can not provide can be based on the individual test different status of the subjects , the personalized delivery of dynamic measurement services . Test item response theory than classical test theory , sample independent , repeated measurements , etc. , but has the same algorithm is too complex , and the practical application of them difficult and many other shortcomings . Computer adaptive testing based on Item Response Theory has reached a high degree of complementarity , play the advantages of both : efficient and flexible. Currently, a wide range of computer adaptive test applications based on item response theory , such as the GRE test . However , based on the practical application of computer adaptive test item response theory , there are also some of the challenges and difficulties : item response theory parameters model selection ; parameters estimation algorithm selection ; topics of strategy formulation . To solve these difficulties , often combined with the practical application of project specific , select the Design and Implementation of the project itself . The purpose of this article is to describe Huadi international consulting firm cooperation in the Shanghai Mental Health Center and the autistic and mentally retarded children identify test the practical application of the project over kinds of computer adaptive testing system based on item response theory analysis and design of research . In this paper, the project itself, the actual situation , the analysis with the existing parameters of the model , the parameter estimation algorithms and Selection Strategies for foundation , Logistic one-dimensional three-parameter model, maximum likelihood parameter estimation , and a great amount of information law the test program , and creatively put forward to replace the initial value estimate interval iterative maximum likelihood parameter algorithm has been improved , from the fundamental solution to the initial value estimated from the results of inaccurate , eventually leading to the algorithm the iterative failed or calculated deviation of the result of a great situation .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
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