A Brief Review on Item Response Theory Modelsbased Parameter Estimation Methods

摘要：

Item Response Theory (IRT) is a psychological and educational measurement theory which breaks the limitations of Classical Test Theory (CTT). The core issue of IRT application is parameter estimation. Taking the Logistic model as an example, this article introduces the basic models and parameter estimation methods of IRT, especially the IRT parameter estimation algorithms based on artificial intelligence. By analysis and comparison of various algorithms that are applied to estimate parameter, the major problems of IRT parameter estimation are formulated, and the future development prospect of IRT models is put forward.

关键词： Item Response Theory (IRT):parameter estimation:artificial intelligence

作者: Hua Wang Cuiqin Ma Ningning Chen

作者单位: Information Engineering Institute Capital Normal University Beijing,100048,China

会议类型: 国际会议

会议名称: The 5th International Conference on Computer Science & Education(第五届国际计算机新技术与教育学术研讨会 ICCSE10)

会议地点: 合肥

会议语种:英文

页码: 1451-1454

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）