基于多目标优化的英语移动学习资源导航方法  

English Mobile Learning Resource Navigation Method Based on Multi-objective Optimization

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作  者:齐迹[1] QI Ji(Department of Basic Courses,Shaanxi Railway Institute,Weinan 714000,China)

机构地区:[1]陕西铁路工程职业技术学院,基础课部,陕西渭南714000

出  处:《微型电脑应用》2023年第11期30-33,共4页Microcomputer Applications

基  金:2021年陕西省科技厅科学研究计划软科学项目(2021KRM200);陕西铁路工程职业技术学院科研基金项目(KY2016-10)。

摘  要:为了提高移动学习资源的使用率,优化学习资源导航效果和运行性能,以英语移动学习资源为研究对象,提出一种基于多目标优化的导航方法。通过分词、无效词去除等步骤预处理英语移动学习资源,采用并行搜索方式确定目标资源存储位置,利用多目标优化算法生成学习资源检索路径,进而得出最终的英语移动学习资源导航结果。从单个资源导航任务和多个资源导航任务两方面进行实验测试,结果表明,所提方法受导航任务场景影响较小,导航成功率和查准率分别提高了1.0%和0.5%,且在运行过程中的内存占用量和时间开销更小。In order to improve the utilization rate of mobile learning resources and optimize the navigation effect and operation performance of learning resources,taking English mobile learning resources as the research object,a navigation method based on multi-objective optimization is proposed.The English mobile learning resources are preprocessed by word segmentation and invalid word removal,the storage location of the target resources is determined by parallel search,and the learning resource retrieval path is generated by multi-objective optimization algorithm,so as to obtain the final navigation results of English mobile learning resources.The experimental tests are carried out from two aspects:single resource navigation task and multiple resource navigation tasks.The results show that the proposed method is less affected by the navigation task scene,the navigation success rate and precision rate are increased by 1.0%and 0.5%,respectively,and the memory occupation and time expenditure in the operation process are smaller.

关 键 词:多目标优化 英语资源 移动学习 资源导航 并行搜索 

分 类 号:TP311[自动化与计算机技术—计算机软件与理论]

 

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