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

Kazuhisa Noguchi, Eisuke Ito

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

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings of the 10th International Conference on Education Technology and Computers, ICETC 2018
    PublisherAssociation for Computing Machinery
    Pages379-382
    Number of pages4
    ISBN (Electronic)9781450365178
    DOIs
    Publication statusPublished - Oct 26 2018
    Event10th International Conference on Education Technology and Computers, ICETC 2018 - Tokyo, Japan
    Duration: Oct 26 2018Oct 28 2018

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference10th International Conference on Education Technology and Computers, ICETC 2018
    CountryJapan
    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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