Holonomic Approach for Item Response Theory Parameter Estimation

Kazuhisa Noguchi, Eisuke Ito

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The IRT (item response theory) is a theory for scoring of tests, and it is used for some test systems such as TOEFL. Classical test scoring is the total of raw scores for each items (questions). On the other hand, IRT can make fine performance finer than the raw score method. IRT is based on the relationship between individual test takers' performances on a test item (question), and the test takers' levels of performance. Even with the same number of correct answers, the IRT score may be different depending on the degree of difficulty of item (question). Computational complexity of parameter estimation of IRT is one of important issue. To solve this issue, we propose a parameter estimation method of IRT using the Holonomic approach. Generate differential equations which solve the likelihood function of IRT. By solving this differential equation, it is able to estimate the ability parameter.

    Original languageEnglish
    Title of host publicationProceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages322-325
    Number of pages4
    ISBN (Electronic)9781538674475
    DOIs
    Publication statusPublished - Jul 2 2018
    Event7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 - Yonago, Japan
    Duration: Jul 8 2018Jul 13 2018

    Publication series

    NameProceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018

    Conference

    Conference7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
    CountryJapan
    CityYonago
    Period7/8/187/13/18

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Communication
    • Information Systems
    • Information Systems and Management
    • Education

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