Holonomic Approach for Item Response Theory Parameter Estimation

Kazuhisa Noguchi, Eisuke Ito

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    抄録

    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.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ322-325
    ページ数4
    ISBN(電子版)9781538674475
    DOI
    出版ステータス出版済み - 7 2 2018
    イベント7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018 - Yonago, 日本
    継続期間: 7 8 20187 13 2018

    出版物シリーズ

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

    会議

    会議7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
    国/地域日本
    CityYonago
    Period7/8/187/13/18

    All Science Journal Classification (ASJC) codes

    • コンピュータ ネットワークおよび通信
    • 通信
    • 情報システム
    • 情報システムおよび情報管理
    • 教育

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