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Computerized Adaptive Test based on Item Response Theory in E-Learning System

by Yeni Kustiyahningsih, andharini Dwi Cahyani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 6
Year of Publication: 2013
Authors: Yeni Kustiyahningsih, andharini Dwi Cahyani
10.5120/14014-2022

Yeni Kustiyahningsih, andharini Dwi Cahyani . Computerized Adaptive Test based on Item Response Theory in E-Learning System. International Journal of Computer Applications. 81, 6 ( November 2013), 6-11. DOI=10.5120/14014-2022

@article{ 10.5120/14014-2022,
author = { Yeni Kustiyahningsih, andharini Dwi Cahyani },
title = { Computerized Adaptive Test based on Item Response Theory in E-Learning System },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 6 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number6/14014-2022/ },
doi = { 10.5120/14014-2022 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:20.918430+05:30
%A Yeni Kustiyahningsih
%A andharini Dwi Cahyani
%T Computerized Adaptive Test based on Item Response Theory in E-Learning System
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 6
%P 6-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Computerized Adaptive Test (CAT) is a computer-based test framework which has ability to customize questions items given to the learner based on their estimated ability. In this research, the CAT system is build using Item Response Theory (IRT) techniques to develop an adaptive system based on question item's difficulty level and students' ability level. Moreover, to figure out the effectiveness of this CAT system, we do some experiments by comparing the average post-test score of students in CAT system and conventional system. The experiments result reveals that the average post-test score of students in the CAT system is much higher than the average post-test score of students in traditional test system.

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Index Terms

Computer Science
Information Sciences

Keywords

Computerized Adaptive Test Item Response Theory students ability level maximum likelihood estimation

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