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作 者:党雪真 胡春田 DANG Xuezhen;HU Chuntian(Shaanxi Institute of Fashion Engineering,Xi’an 712046,China;Xi’an Hollysys Systems Engineering Co.LTD,Xi’an 710075,China)
机构地区:[1]陕西服装工程学院,西安712046 [2]西安和利时系统工程有限公司,西安710075
出 处:《自动化与仪器仪表》2023年第5期221-225,230,共6页Automation & Instrumentation
基 金:陕西省省教育厅课题《农村小规模协同治理研究》(19JK0060);陕西服装工程学院校级教改课题《“新师范”下提升我校师范生口语表达能力教学模式研究》(2022J024)。
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。针对系统中的考试管理模块,采用遗传算法作为该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。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,可实现人机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.For the examination management module in the system,the genetic algorithm is used as the basic algorithm of intelligent grouping,according to the constraints,the genetic algorithm is improved from coding scheme,fitness function and cross variation selection operator;finally,the intelligent grouping of remote English teaching system is realized through the improved genetic algorithm.The results show that the grouping time of the modified GA remains within 5000ms,the previous GA is higher than 7000ms and higher than the improved GA.And the English teaching system based on the improved genetic algorithm can select the 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]
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