Application of genetic programming in computerized adaptive testing

被引：0

作者：

Chen, SY ^{[1
]}

Doong, SH ^{[1
]}

机构：

[1] Natl Chung Cheng Univ, Dept Psychol, Chiayi 62117, Taiwan

来源：

APPLICATIONS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN EDUCATION AND TRAINING | 2004年

关键词：

computerized adaptive testing; item exposure control; test security; genetic programming;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The purpose of this study is to find a relationship formula between item exposure parameters and item parameters in computerized adaptive tests by using genetic programming (GP), which is a biologically inspired artificial intelligence technique. Based on the relationship formula, item exposure parameters for new parallel item pools can be predicted without conducting any tedious iterative simulations. Results showed that the relationship formula between item exposure parameters and item parameters in a pool could be built by using GP. The item exposure parameters predicted based on the found formula were close to those observed from the Sympson and Hotter (1985) procedure and performed well on controlling item exposure rates. Similar results were observed for parallel item pools. Thus, item exposure parameters could be obtained efficiently by using the GP techniques without conducting any time consuming iterative simulations.

引用

页码：44 / 49

页数：6

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