Title :
The design of adaptive test paper composition algorithm based on the item response theory
Author :
Xiaoping Li ; Zhenghong Wang ; Xiaobing Wu ; Yinxiang Li ; Hongjian Dong
Author_Institution :
Sch. of Lang Distance Educ., Beijing Inst. of Technol., Beijing, China
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.
Keywords :
education; adaptive test paper composition algorithm; item response theory; testing behavior; Accuracy; Adaptation models; Algorithm design and analysis; Educational institutions; Estimation; Reliability; Testing; adaptive test; item response theory; test paper composition algorithm;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030299
