首页> 中文期刊> 《计算机与现代化》 >自适应考试难度的智能组卷过程的研究与实现

自适应考试难度的智能组卷过程的研究与实现

         

摘要

为了适应各类考试难度不断变化的需要,考试题库中试题的难度级别通常要服从正态分布并且各难度级别的试题被抽中的概率会随考试难度的变化而调整.本文采用离散定义域内正态分布数值法确定各难度级别要抽取的试题题量,进而采用分段分类法和线性乘同余方法均匀随机抽取各难度级别规定的试题题量来生成试卷.该方法具有流程简单、运行速度快、效率高、选题重点突出、适应试卷平均难度多变以及可行性好等特点,已经应用于会计综合考试平台中.%To meet the various needs of the changing test difficulty, the item difficulty level is usually a noimal distribution and the difficulty level of drawn probability will changes with test difficulty adjustment, while the discrete domain is definedstate distribution of numerical methods to determine the amount of difficulty level, and then use sub-classification and Linear congruential method to uniformly random draw difficulty level of required amount to generate papers. This method has a simple process, run fast, efficient, focused topics, the average degree of difficulty to adapt to changing papers and feasibility of good features, and has been applied to the comprehensive examination of accounting platform.

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