摘要
在基于GA的自动组题算法中,构建适应度函数是最大的一个难点。适应度函数构建的关键在于如何选择适应度函数的参数以及如何计算各个参数的值,本文从IRT理论和试题以及算法的特殊性出发,确定了适应度函数的参数及其计算方法。该方法有着强大的理论支持和完善的用户需求接口,同时也为试卷的分析提供了新的方法。
Fitness function’s building is the most difficult point in GA-based automatic test creation algorithms. How to select the fitness function’s factors and how to calculate them are the key points in the fitness function’s building. The paper presents a method of selecting and calculating the factors in the fitness function which comes from the Item Response Theory, the test pool’s structuring and the algorithm’s construction. This method has a strong support from IRT and a perfect user interface, and provides a new way of test paper analysis.
出处
《计算机工程与科学》
CSCD
2007年第1期88-89,93,共3页
Computer Engineering & Science
关键词
遗传算法
项目反应理论
适应度函数
组题
genetic algorithm
item response theory
fitness function
test creation
