基于改进遗传算法的远程教学系统设计  

Design of remote teaching system based on improved genetic algorithm

作　　者：郐滨[1] 赵倩[2] KUAI Bin;ZHAO Qian(Xi’an Siyuan University,Xi’an 710038,China;Xi’an Eurasia University,Xi’an 710061,China)

机构地区：[1]西安思源学院,西安710038 [2]西安欧亚学院,西安710061

出　　处：《自动化与仪器仪表》2023年第8期200-204,共5页Automation & Instrumentation

基　　金：西安欧亚学院人文教育学院课题《新课标背景下小学英语教师跨学科能力模型研究》。

摘　　要：针对传统远程英语教学方法存在教学资料管理不佳、在线考试和组卷智能化水平低的问题,提出基于SSH框架和B/S结构,构建一个基于改进遗传算法的人机交互沉浸式远程英语教学系统。首先将系统整体结构分为教学业务信息管理模块、资料管理模块、考试管理模块和在线教学模块;然后采用遗传算法作为在线考试模块中智能组卷的基础算法,通过此算法实现快速组卷;然后根据智能组卷约束条件,提出对遗传算法从编码方案、适应度函数、交叉变异选择算子三个方面进行改进;最后通过改进的遗传算法实现远程英语教学系统的智能组卷。实现结果表明,改进后的遗传算法的组卷时间保持在5000 ms范围内,改进前的遗传算法的组卷时间高于7000 ms,组卷时间高于改进后的遗传算法。且基于改进遗传算法的英语教学系统可实现试卷难点和知识点选择,其知识点覆盖率高达98.42%,比基础遗传算法更高。系统应用发现,改进的遗传算法可提升远程英语教学系统的资料管理效率和智能化水平,可实现人际交互沉浸式远程教学。In view of the problems of traditional remote English teaching methods and low intelligence level of online examination and group papers,a human-computer interaction immersive distance English teaching system based on SSH framework and B/S structure.First,the overall structure of the system is divided into teaching business information management module,data management module,examination management module and online teaching module;then the genetic algorithm is used as the basic algorithm of the intelligent group in the online examination module,which is quickly organized;then according to the constraint conditions of the intelligent group paper,the genetic algorithm is improved from the coding scheme,fitness function and cross variation selection operator;finally,the intelligent group of remote English teaching system through the improved genetic algorithm.The implementation results show that the experimental results show that the group volume time remains within 5000ms,and the improved genetic algorithm is higher than 7000ms and higher than the improved genetic algorithm.Moreover,the English teaching system based on the improved genetic algorithm can realize the selection of difficult points in the test paper,and the coverage of knowledge points is as high as 98.42%,which is higher than the basic genetic algorithm.The system application found that the improved genetic algorithm can improve the data management efficiency and intelligence level of the remote English teaching system,and can realize the interpersonal interactive immersive distance teaching.

关 键 词：SSH框架 远程英语教学 遗传算法 智能组卷 在线考试 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]