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

Fingerprint Dive into the research topics of 'Holonomic function of 2 parameter logistic model item response theory parameter estimation'. Together they form a unique fingerprint.

Cite this