The design of adaptive test paper composition algorithm based on the item response theory

Xiaoping Li*, Zhenghong Wang, Xiaobing Wu, Yinxiang Li, Hongjian Dong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The design of adaptive test paper composition algorithm based on the item response theory is proposed and the ultimate goal of adaptive test is to measure the candidates' potential accurately. According to the item response theory, candidates' testing behavior is the reflection of their potential language ability and a potential of a candidate can be estimated directly by his/her item response together with a particular item response model.

Original languageEnglish
Title of host publicationProceedings - 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2011
Pages157-159
Number of pages3
DOIs
Publication statusPublished - 2011
Event2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2011 - Chongqing, China
Duration: 20 Aug 201122 Aug 2011

Publication series

NameProceedings - 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2011
Volume2

Conference

Conference2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2011
Country/TerritoryChina
CityChongqing
Period20/08/1122/08/11

Keywords

  • adaptive test
  • item response theory
  • test paper composition algorithm

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