摘要
现有教学模型未采用协同推荐进行资源挖掘,导致稳定性和运行效率下降,教学质量不理想。提出一种基于协同推荐的英语在线教学模型,对各种类型的英语在线教学资源进行预处理和数据挖掘。分析我国各个院校的现状以及学生特点,结合协同推荐进行教学模型的设计和开发,实现英语在线教学模型的建立。仿真实验结果表明,所提教学模型能够有效提升其稳定性以及运行效率,获取较为理想的教学结果。
The existing teaching model does not use collaborative recommendation for resource mining,which leads to the decline of stability and operation efficiency,and the teaching quality is not ideal.Therefore,an English online teaching model based on collaborative recommendation is proposed to preprocess and mine various types of English online teaching resources.This paper analyzes the current situation and students’characteristics of various colleges and universities in China,designs and develops the teaching model combined with collaborative recommendation,and realizes the establishment of an English online teaching model.Simulation results show that the proposed teaching model can effectively improve its stability and operation efficiency,and obtain ideal teaching results.
作者
宋晓焕
张卫强
刘娟
SONG Xiao-huan;ZHANG Wei-qiang;LIU Juan(Modern College of Northwest University,Xi’an 710000,China)
出处
《信息技术》
2023年第9期8-11,18,共5页
Information Technology
基金
西北大学现代学院校级教育教学改革研究项目阶段性研究成果(21JG02)。
关键词
协同推荐
英语在线教学模型
数据预处理
数据挖掘
教学资源
collaborative recommendation
English online teaching model
data preprocessing
data mining
teaching resources
