2013
DOI: 10.5120/14014-2022
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Computerized Adaptive Test based on Item Response Theory in E-Learning System

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 co… Show more

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Cited by 4 publications
(5 citation statements)
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“…Respecto a los elementos segundo y tercero, diversos trabajos como e-Adaptive (Kustiyahningsih & Dwi Cahyani, 2013), Flip (Barla et al, 2010), CIA (Jiménez et al, 2008), AHA 3.0 (De Bra et al, 2007), SIETTE (Conejo et al, 2004), e Inspire (Papanikolaou et al, 2003), los definen a partir de la Teoría de Respuesta alÍtem o TRI. Esta aproximación brinda bases probabilísticas al problema de la medición de rasgos indirectamente observables, también denominados rasgos latentes, como lo es el nivel de conocimiento.…”
Section: Descripción Del Modelounclassified
“…Respecto a los elementos segundo y tercero, diversos trabajos como e-Adaptive (Kustiyahningsih & Dwi Cahyani, 2013), Flip (Barla et al, 2010), CIA (Jiménez et al, 2008), AHA 3.0 (De Bra et al, 2007), SIETTE (Conejo et al, 2004), e Inspire (Papanikolaou et al, 2003), los definen a partir de la Teoría de Respuesta alÍtem o TRI. Esta aproximación brinda bases probabilísticas al problema de la medición de rasgos indirectamente observables, también denominados rasgos latentes, como lo es el nivel de conocimiento.…”
Section: Descripción Del Modelounclassified
“…and the mission of achieving the targeted results. Enterprise information architecture will become a reference in the term technology investment short and long term by considering the interests of a whole (Kustiyahningsih, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Thomson and Weiss (2012) suggest that a randomization technique is used, such as considering a scale from -0.5 to +0.5 of item difficulty as initialization. Another suggestion is to consider the background information of students that can be gathered from classroom tests or even pre-tests conducted prior to CAT initialization (Kustiyahningsih & Cahyani, 2013). To some extent, the initial ability estimation in MCAT uses one of these existing procedures where the initial ability (θ) estimate is assumed to be 0.…”
Section: Mcat Proceduresmentioning
confidence: 99%
“…It would allow the other 100 items to be rotated into different positions when administered to test takers. Some CATs also use fewer items; Veldkamp and van der Linden employed a 176-item pool (as cited in Reckase, 2009), while Kustiyahningsih and Cahyani (2013) had 180 items in their CAT item bank. Reckase (2009), states that "with an MIRT CAT of 60 items, it seems to be enough information to overcome the influence of the prior distribution so the bias seems to be minimal" (p. 324).…”
Section: Mcat Scales and Item Bank Developmentmentioning
confidence: 99%
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