Presentation information

General Session

General Session » [GS] J-12 Human interface, education aid

[1O3-J-12] Human interface, education aid: education and evaluation

Tue. Jun 4, 2019 3:20 PM - 4:20 PM Room O (Front-left room of 1F Exhibition hall)

Chair:Masato Soga Reviewer:Megumi Kurayama

3:40 PM - 4:00 PM

[1O3-J-12-02] A test theory based on deep learning: Deep Response Model

〇Ryo Kinoshita1, Maomi Ueno1 (1. The University of electro-Communication)

Keywords:e-testing, Deep Learning, Itembank, equating, Test Theory

In this article, Deep Response Model(DRM), a novel deep neural networks model for estimating student characteristic parameters and predicting student's response patterns is proposed. It consists of two independent neural networks, Student Layer and Item Layer, combines their outputs and predict student's response. Then, values of the last student layer are considered as student parameters. It can estimate student parameters and predict their responses with high accuracy even when it is difficult to calibrate item parameters.