The Design of Adaptive Test Paper Composition Algorithm Based on the Item Response Theory

摘要：

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.

关键词： adaptive test item response theory test paper composition algorithm

作者: Xiaoping Li Zhenghong Wang Xiaobing Wu Yinxiang Li Hongjian Dong

作者单位: School of Lang Distance Education, Beijing Institute of Technology Beijing, China School of Lang Distance Education,Beij ing Institute of Technology,Beijing, China School of Lang Distance Education,Beijing Institute of Technology,Beijing, China School of Lang Distance Education,Beij ing Institute of Technology Beijing, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 660-662

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）