Accuracy and Efficiency of Web-based Assessment Platform (LIVECAT) for Computerized Adaptive Testing

Kim, Do-Gyeong; Seo, Dong Gi

doi:10.14801/jkiit.2020.18.4.77

Cited by 1 publication

(1 citation statement)

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“…LIVECAT showed better efficiency than a conventional test. Furthermore, the previous study showed a good correlation between ability estimates obtained from LIVECAT and ability estimates obtained from a conventional test method (r=0.786, P<0.001) [ 4 ]. If researchers and test administrators would like to implement the LIVECAT platform in their field, they can obtain a limited version of the LIVECAT platform by completing a request form on the website ( http://www.thecatkorea.com/ ).…”

Section: Implementation Of Computerized Adaptive Testing In the Fieldmentioning

confidence: 99%

Introduction to the LIVECAT web-based computerized adaptive testing platform

Seo

Choi²

2020

J Educ Eval Health Prof

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This study introduces LIVECAT, a web-based computerized adaptive testing platform. This platform provides many functions, including writing item content, managing an item bank, creating and administering a test, reporting test results, and providing information about a test and examinees. The LIVECAT provides examination administrators with an easy and flexible environment for composing and managing examinations. It is available at http://www.thecatkorea.com/. Several tools were used to program LIVECAT, as follows: operating system, Amazon Linux; web server, nginx 1.18; WAS, Apache Tomcat 8.5; database, Amazon RDMS – Maria DB; and languages, JAVA8, HTML5/CSS, Javascript, and jQuery. The LIVECAT platform can be used to implement several item response theory (IRT) models such as the Rasch and 1-,2-,3-parameter logistic models. The administrator can choose a specific model of test construction in LIVECAT. Multimedia data such as images, audio files, and movies can be uploaded to items in LIVECAT. Two scoring methods (maximum likelihood estimation and expected a posteriori) are available in LIVECAT and the maximum Fisher information item selection method is applied to every IRT model in LIVECAT. The LIVECAT platform showed equal or better performance compared with a conventional test platform. The LIVECAT platform enables users without psychometric expertise to easily implement and perform computerized adaptive testing at their institutions. The most recent LIVECAT version only provides a dichotomous item response model and the basic components of CAT. Shortly, LIVECAT will include advanced functions, such as a polytomous item response model with weighted likelihood estimation and content balancing.

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Section: Implementation Of Computerized Adaptive Testing In the Fieldmentioning

confidence: 99%