【摘要】 本文提出了一种基于计算机类课程知识体系结构的改进随机组卷算法,该算法预读取数据库中的备选试题,确定试题的抽取范围后,再从候选题集合中遵循未抽取题目的知识点优先原则,依次为多份试卷随机抽取试题。实验结果表明,基于知识体系结构的随机抽取算法与按章随机抽取算法、传统遗传算法相比,组卷效果有更好的提升。更多还原

【Abstract】 This paper proposes an improved random test paper algorithm based on computer courses knowledge structure. The algorithm pre-accesses the problems from the database, and after determining the scope of the test.The knowledge point priority principle is followed from the candidate problem set, and the test problems are randomly selected for multiple test papers. The experimental results show that the random extraction algorithm based on knowledge architecture has better effect than the random extraction algorithm and the traditional genetic algorithm.更多还原