基于多策略的个性化智能组卷的研究

Studies on the Intelligent Composing Paper with Multi-strategy and Individuality

分析传统智能组卷所包括的各项要求以及各项约束条件,在用户个性化的基础上分析用户行为,将构造试卷的各项参数与用户的各项实际要求结合起来,使用人工鱼群算法进行智能组卷,充分凸显试卷的个性化特点,构建一种基于多策略的个性化智能组卷的理论模型,为提升教育教学效率及水平而成立,其专注纠错,深度挖掘用户的需求,基于错题库的数据分析,开展智能化地组卷训练,高精准度、高效率地解决用户查漏补缺的问题,并通过一系列的实例分析,通过实验结果表明提出的个性化组卷方法能够促使用户掌握自己的薄弱环节,在成绩方面有显著提高。

Through the analysis of the requirements and constraint conditions of the traditional intelligent test paper composition and the user behavior on the basis of individuation,a theoretical model based on the multi-strategic personalized intelligent test paper composition was established,which combines the parameters in the paper with the requirements of users and generate the paper with the help of AFSA to fully prominent its characteristic of individuation. This theoretical model aims to enhance the teaching efficiency,which focuses on error correction and deeply explore the users’ demand.Based on the analysis of the error data bank,the intelligent test paper composition can help the users solve their error accurately and effectively. Finally,case analysis shows that this method of generating test paper is able to prompt users to overcome their weakness.