TY - GEN
T1 - Holonomic function of 2 parameter logistic model item response theory parameter estimation
AU - Noguchi, Kazuhisa
AU - Ito, Eisuke
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/10/26
Y1 - 2018/10/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85062788440&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062788440&partnerID=8YFLogxK
U2 - 10.1145/3290511.3290566
DO - 10.1145/3290511.3290566
M3 - Conference contribution
AN - SCOPUS:85062788440
T3 - ACM International Conference Proceeding Series
SP - 379
EP - 382
BT - Proceedings of the 10th International Conference on Education Technology and Computers, ICETC 2018
PB - Association for Computing Machinery
T2 - 10th International Conference on Education Technology and Computers, ICETC 2018
Y2 - 26 October 2018 through 28 October 2018
ER -