Holonomic function of 2 parameter logistic model item response theory parameter estimation

Kazuhisa Noguchi, Eisuke Ito

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

    1 被引用数 (Scopus)

    抄録

    IRT (Item Response Theory) is a theory for scoring of tests, and it used for some test systems such as TOEFL. IRT's estimation is item parameter for each question, and examinee’s ability parameter. We propose a new method to estimate parameter of IRT using the Holonomic Gradient Method. When we use Holonomic Gradient Method, we check target function is Holonomic Function. Our target function is 2 Parameter Logistic Model IRT's Likelihood Function. In this paper, we show target IRT's Likelihood Function is Holonomic Function.

    本文言語英語
    ホスト出版物のタイトルProceedings of the 10th International Conference on Education Technology and Computers, ICETC 2018
    出版社Association for Computing Machinery
    ページ379-382
    ページ数4
    ISBN(電子版)9781450365178
    DOI
    出版ステータス出版済み - 10 26 2018
    イベント10th International Conference on Education Technology and Computers, ICETC 2018 - Tokyo, 日本
    継続期間: 10 26 201810 28 2018

    出版物シリーズ

    名前ACM International Conference Proceeding Series

    会議

    会議10th International Conference on Education Technology and Computers, ICETC 2018
    Country日本
    CityTokyo
    Period10/26/1810/28/18

    All Science Journal Classification (ASJC) codes

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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