一种快速的智能成卷算法

A Quick Intelligent Algorithm for Examination Paper Generation

根据考试命题者的考试要求 ,以最小知识点为信息收集单位 ,提出了一套独特的收集题库资源的方法和选题风险的概念 .首先 ,选取试题资源最少的指标分量 ,再从试题资源信息库中找出满足该指标分量的所有知识点 ,计算所有满足条件的试题的选题风险 ,找出风险最小的试题 ,直至满足考试要求为止 .该算法具有速度快、成卷质量高的特点 ,为实现大规模网络化考试提供了一种很好的成卷方法 .

According to the demand of the examiner, relevant information was collected for the item bank according to the basic contents of learning.Thus,a unique method of collecting testing resources and the concept of item risk were proposed.Firstly,we found an index that had the minimum resource relative to the demand of examiner.Then,we searched for all the items from the item bank that satisfied the index,and chose a minirisk item .We repeated doing this till the examiner was met.The algorithm showed good performance in speed and quality,and provide a good method for the large scale net examinations.